2025-09-07T07:37:42.5852718Z Current runner version: '2.328.0' 2025-09-07T07:37:42.5856724Z Runner name: 'i-0356b71ff85eb4aa1' 2025-09-07T07:37:42.5857321Z Runner group name: 'default' 2025-09-07T07:37:42.5857951Z Machine name: 'ip-10-0-68-22' 2025-09-07T07:37:42.5859902Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:37:42.5861486Z Contents: read 2025-09-07T07:37:42.5861875Z Metadata: read 2025-09-07T07:37:42.5862273Z ##[endgroup] 2025-09-07T07:37:42.5863781Z Secret source: Actions 2025-09-07T07:37:42.5864344Z Prepare workflow directory 2025-09-07T07:37:42.6204420Z Prepare all required actions 2025-09-07T07:37:42.6234871Z Getting action download info 2025-09-07T07:37:42.8548286Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:37:44.5331162Z Download action repository 'pytorch/pytorch@main' (SHA:ada43ed39c80b746b4822c92640a1882619e2795) 2025-09-07T07:38:01.0011523Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:38:01.3044043Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:38:01.4878114Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:38:01.6612359Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:38:01.8986930Z Getting action download info 2025-09-07T07:38:01.9879091Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:38:02.1888364Z Getting action download info 2025-09-07T07:38:02.2831406Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:38:02.4747351Z Getting action download info 2025-09-07T07:38:02.5728391Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:38:02.7498615Z Getting action download info 2025-09-07T07:38:02.8748388Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:38:02.8751378Z ##[group] Inputs 2025-09-07T07:38:02.8751651Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T07:38:02.8753864Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:38:02.8756667Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:38:02.8757274Z sync-tag: 2025-09-07T07:38:02.8757882Z timeout-minutes: 720 2025-09-07T07:38:02.8758054Z use-gha: 2025-09-07T07:38:02.8758473Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:38:02.8758917Z s3-bucket: gha-artifacts 2025-09-07T07:38:02.8759097Z aws-role-to-assume: 2025-09-07T07:38:02.8759449Z disable-monitor: false 2025-09-07T07:38:02.8759647Z monitor-log-interval: 15 2025-09-07T07:38:02.8759863Z monitor-data-collect-interval: 4 2025-09-07T07:38:02.8760068Z ##[endgroup] 2025-09-07T07:38:02.8760408Z Complete job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:38:02.9509552Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:38:02.9576928Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:38:02.9583300Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:02.9583705Z ##[endgroup] 2025-09-07T07:38:03.8179839Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:38:03.8180152Z Instance Type: c7i.metal-24xl 2025-09-07T07:38:03.8180348Z AMI Name: unknown 2025-09-07T07:38:03.8203559Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:38:07.5604302Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:38:07.5604622Z with: 2025-09-07T07:38:07.5605134Z github-secret: *** 2025-09-07T07:38:07.5605572Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:38:07.5606020Z activate-with-label: false 2025-09-07T07:38:07.5606205Z label: with-ssh 2025-09-07T07:38:07.5606379Z remove-existing-keys: true 2025-09-07T07:38:07.5606567Z fail-silently: true 2025-09-07T07:38:07.5606756Z env: 2025-09-07T07:38:07.5606899Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:07.5607079Z ##[endgroup] 2025-09-07T07:38:07.6650587Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:38:07.6651232Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:38:07.6764794Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:38:07.6765079Z with: 2025-09-07T07:38:07.6765242Z no-sudo: true 2025-09-07T07:38:07.6765411Z submodules: recursive 2025-09-07T07:38:07.6765584Z fetch-depth: 0 2025-09-07T07:38:07.6765735Z env: 2025-09-07T07:38:07.6765895Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:07.6766077Z ##[endgroup] 2025-09-07T07:38:07.6820180Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:07.6820730Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:38:07.6827724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:07.6827988Z env: 2025-09-07T07:38:07.6828154Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:07.6828339Z ##[endgroup] 2025-09-07T07:38:07.6890971Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:38:07.6891268Z # Use all available CPUs for fetching 2025-09-07T07:38:07.6891513Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:38:07.6891768Z git config --global fetch.parallel 0 2025-09-07T07:38:07.6892012Z git config --global submodule.fetchJobs 0 2025-09-07T07:38:07.6892230Z  2025-09-07T07:38:07.6892543Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:38:07.6892838Z # do it here as well just in case 2025-09-07T07:38:07.6893035Z if [[ -d .git ]]; then 2025-09-07T07:38:07.6893240Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:38:07.6893447Z  sudo git clean -ffdx 2025-09-07T07:38:07.6893632Z  else 2025-09-07T07:38:07.6893897Z  git clean -ffdx 2025-09-07T07:38:07.6894071Z  fi 2025-09-07T07:38:07.6894223Z fi 2025-09-07T07:38:07.6897923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:38:07.6898156Z env: 2025-09-07T07:38:07.6898320Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:07.6898495Z NO_SUDO: true 2025-09-07T07:38:07.6898656Z ##[endgroup] 2025-09-07T07:38:07.6997442Z ##[group]Run actions/checkout@v4 2025-09-07T07:38:07.6997684Z with: 2025-09-07T07:38:07.6997886Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:07.6998128Z fetch-depth: 0 2025-09-07T07:38:07.6998306Z submodules: recursive 2025-09-07T07:38:07.6998501Z show-progress: false 2025-09-07T07:38:07.6998695Z repository: pytorch/pytorch 2025-09-07T07:38:07.6998977Z token: *** 2025-09-07T07:38:07.6999139Z ssh-strict: true 2025-09-07T07:38:07.6999317Z ssh-user: git 2025-09-07T07:38:07.6999497Z persist-credentials: true 2025-09-07T07:38:07.6999694Z clean: true 2025-09-07T07:38:07.6999878Z sparse-checkout-cone-mode: true 2025-09-07T07:38:07.7000088Z fetch-tags: false 2025-09-07T07:38:07.7000258Z lfs: false 2025-09-07T07:38:07.7000433Z set-safe-directory: true 2025-09-07T07:38:07.7000629Z env: 2025-09-07T07:38:07.7000793Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:38:07.7000979Z ##[endgroup] 2025-09-07T07:38:07.7821547Z Syncing repository: pytorch/pytorch 2025-09-07T07:38:07.7822483Z ##[group]Getting Git version info 2025-09-07T07:38:07.7822801Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:07.7823224Z [command]/usr/bin/git version 2025-09-07T07:38:07.8013274Z git version 2.47.1 2025-09-07T07:38:07.8028965Z ##[endgroup] 2025-09-07T07:38:07.8038609Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9d35857d-9ea7-4bda-9feb-0e3a6792dff9/.gitconfig' 2025-09-07T07:38:07.8057327Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9d35857d-9ea7-4bda-9feb-0e3a6792dff9' before making global git config changes 2025-09-07T07:38:07.8057961Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:38:07.8060786Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:07.8095920Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:38:07.8097990Z ##[group]Initializing the repository 2025-09-07T07:38:07.8100971Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:38:07.8155391Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:38:07.8155755Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:38:07.8156102Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:38:07.8156373Z hint: 2025-09-07T07:38:07.8156601Z hint: git config --global init.defaultBranch 2025-09-07T07:38:07.8156836Z hint: 2025-09-07T07:38:07.8157057Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:38:07.8157409Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:38:07.8157679Z hint: 2025-09-07T07:38:07.8157844Z hint: git branch -m 2025-09-07T07:38:07.8172692Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:38:07.8178773Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:38:07.8208030Z ##[endgroup] 2025-09-07T07:38:07.8208332Z ##[group]Disabling automatic garbage collection 2025-09-07T07:38:07.8211081Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:38:07.8229782Z ##[endgroup] 2025-09-07T07:38:07.8230055Z ##[group]Setting up auth 2025-09-07T07:38:07.8234838Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:38:07.8252312Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-07T07:38:07.8522198Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:38:07.8545352Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T07:38:07.8830597Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:07.8883272Z ##[endgroup] 2025-09-07T07:38:07.8883663Z ##[group]Fetching the repository 2025-09-07T07:38:07.8888534Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:38:43.3724760Z From https://github.com/pytorch/pytorch 2025-09-07T07:38:43.3725126Z * [new branch] 160583 -> origin/160583 2025-09-07T07:38:43.3725472Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:38:43.3726160Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:38:43.3726586Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:38:43.3727028Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:38:43.3727432Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:38:43.3727867Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:38:43.3728273Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:38:43.3728601Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:38:43.3728967Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:38:43.3729757Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:38:43.3730109Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:38:43.3730432Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:38:43.3730867Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:38:43.3731179Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:38:43.3731528Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:38:43.3731956Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:38:43.3732330Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:38:43.3732684Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:38:43.3733025Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:38:43.3733353Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:38:43.3733641Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:38:43.3733912Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:38:43.3734215Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:38:43.3734645Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:38:43.3735234Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:38:43.3735819Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:38:43.3736383Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:38:43.3737266Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:38:43.3738079Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:38:43.3738687Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:38:43.3739945Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:38:43.3740495Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:38:43.3741063Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:38:43.3742076Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:38:43.3742538Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:38:43.3743124Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:38:43.3743779Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:38:43.3744401Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:38:43.3744929Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:38:43.3745792Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:38:43.3746374Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:38:43.3747268Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:38:43.3747784Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:38:43.3748439Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:38:43.3749224Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:38:43.3749574Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:38:43.3750171Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:38:43.3750790Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:38:43.3751318Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:38:43.3751875Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:38:43.3752411Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:38:43.3752960Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:38:43.3753571Z 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2025-09-07T07:38:43.6803456Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:38:43.6804177Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:38:43.6804493Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:38:43.6805047Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:38:43.6805290Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:38:43.6805633Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:38:43.6806011Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:38:43.6806296Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:38:43.6806624Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:38:43.6807058Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:38:43.6807429Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:38:43.6807727Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:38:43.6808142Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:38:43.6808571Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:38:43.6808897Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:38:43.6809366Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:38:43.6809804Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:38:43.6810138Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:38:43.6810427Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:38:43.6810784Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:38:43.6811127Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:38:43.6811449Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:38:43.6811911Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:38:43.6812285Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:38:43.6812642Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:38:43.6812920Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:38:43.6813286Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:38:43.6813550Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:38:43.6813851Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:38:43.6814189Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:38:43.6814525Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:38:43.6814896Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:38:43.6815230Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:38:43.6815531Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:38:43.6816115Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:38:43.6816453Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:38:43.6817266Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:38:43.6817572Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:38:43.6817985Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:38:43.6818280Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:38:43.6819002Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:38:43.6819398Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:38:43.6819850Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:38:43.6820155Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:38:43.6820768Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:38:43.6821133Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:38:43.6821676Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:38:43.6821901Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:38:43.6822332Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:38:43.6822878Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:38:43.6823214Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:38:43.6823623Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:38:43.6824007Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:38:43.6824282Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:38:43.6824591Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:38:43.6824906Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:38:43.6825256Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:38:43.6825564Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:38:43.6825885Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:38:43.6826202Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:38:43.6826509Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:38:43.6826874Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:38:43.6827424Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:38:43.6827754Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:38:43.6828284Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:38:43.6828599Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:38:43.6829013Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:38:43.6829366Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:38:43.6829679Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:38:43.6830087Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:38:43.6830458Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:38:43.6831027Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:38:43.6831557Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:38:43.6831843Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:38:43.6832497Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:38:43.6832705Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:38:43.6833242Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:38:43.6833541Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:38:43.6833998Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:38:43.6834409Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:38:43.6834773Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:38:43.6835174Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:38:43.6835808Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:38:43.6836190Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:38:43.6836732Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:38:43.6836981Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:38:43.6837406Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:38:43.6837795Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:38:43.6838180Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:38:43.6838618Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:38:43.6839494Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:38:43.6839738Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:38:43.6840096Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:38:43.6840463Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:38:43.6840790Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:38:43.6841149Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:38:43.6841473Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:38:43.6841776Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:38:43.6842193Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:38:43.6842535Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:38:43.6843083Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:38:43.6843274Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:38:43.6843946Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:38:43.6844321Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:38:43.6844715Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:38:43.6845032Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:38:43.6845393Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:38:43.6845711Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:38:43.6846130Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:38:43.6846483Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:38:43.6847547Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:38:43.6847840Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:38:43.6848244Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:38:43.6848628Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:38:43.6848910Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:38:43.6849370Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:38:43.6849680Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:38:43.6850071Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:38:43.6850427Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:38:43.6850961Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:38:43.6851223Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:38:43.6851800Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:38:43.6852030Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:38:43.6852391Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:38:43.6852773Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:38:43.6853201Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:38:43.6853552Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:38:43.6853886Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:38:43.6854233Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:38:43.6854555Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:38:43.6855314Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:38:43.6855561Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:38:43.6856099Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:38:43.6856377Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:38:43.6856773Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:38:43.6857026Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:38:43.6857448Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:38:43.6857811Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:38:43.6858128Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:38:43.6858519Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:38:43.6858829Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:38:43.6859377Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:38:43.6859607Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:38:43.6859916Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:38:43.6860282Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:38:43.6860591Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:38:43.6860945Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:38:43.6861258Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:38:43.6861639Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:38:43.6861958Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:38:43.6862383Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:38:43.6862726Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:38:43.6863133Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:38:43.6863551Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:38:43.6863892Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:38:43.6864230Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:38:43.6864579Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:38:43.6864906Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:38:43.6865238Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:38:43.6865617Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:38:43.6865945Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:38:43.6866481Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:38:43.6866693Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:38:43.6867075Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:38:43.6867391Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:38:43.6867748Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:38:43.6868061Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:38:43.6868431Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:38:43.6868815Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:38:43.6869152Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:38:43.6869517Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:38:43.6869915Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:38:43.6870168Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:38:43.6870538Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:38:43.6871173Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:38:43.6871460Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:38:43.6872058Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:38:43.6872328Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:38:43.6872667Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:38:43.6872956Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:38:43.6873363Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:38:43.6873699Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:38:43.6874254Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:38:43.6874521Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:38:43.6874923Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:38:43.6875218Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:38:43.6875605Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:38:43.6875942Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:38:43.6876281Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:38:43.6876640Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:38:43.6876977Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:38:43.6877513Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:38:43.6877772Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:38:43.6878117Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:38:43.6878476Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:38:43.6878800Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:38:43.6879134Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:38:43.6879496Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:38:43.6879845Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:38:43.6880148Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:38:43.6880556Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:38:43.6880890Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:38:43.6881241Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:38:43.6881560Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:38:43.6882114Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:38:43.6882377Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:38:43.6882717Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:38:43.6883187Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:38:43.6883516Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:38:43.6883807Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:38:43.6884291Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:38:43.6884556Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:38:43.6884949Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:38:43.6885238Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:38:43.6885569Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:38:43.6885917Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:38:43.6886297Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:38:43.6886617Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:38:43.6886960Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:38:43.6887318Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:38:43.6887871Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:38:43.6888073Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:38:43.6888438Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:38:43.6888811Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:38:43.6889152Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:38:43.6889499Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:38:43.6889815Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:38:43.6890128Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:38:43.6890495Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:38:43.6890840Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:38:43.6891184Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:38:43.6891497Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:38:43.6891921Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:38:43.6892274Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:38:43.6892598Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:38:43.6892932Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:38:43.6893322Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:38:43.6893602Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:38:43.6894530Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:38:43.6894914Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:38:43.6895343Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:38:43.6896166Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:38:43.6896407Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:38:43.6896773Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:38:43.6897339Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:38:43.6897522Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:38:43.6897859Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:38:43.6898210Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:38:43.6898519Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:38:43.6899057Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:38:43.6899340Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:38:43.6899675Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:38:43.6900065Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:38:43.6900686Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:38:43.6900900Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:38:43.6901512Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:38:43.6901769Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:38:43.6902046Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:38:43.6902404Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:38:43.6902731Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:38:43.6903275Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:38:43.6903592Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:38:43.6904024Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:38:43.6904543Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:38:43.6904984Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:38:43.6905592Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:38:43.6906214Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:38:43.6906774Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:38:43.6907180Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:38:43.6907754Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:38:43.6908204Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:38:43.6908629Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:38:43.6909018Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:38:43.6909372Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:38:43.6909662Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:38:43.6909975Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:38:43.6910346Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:38:43.6910636Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:38:43.6911202Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:38:43.6911529Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:38:43.6911927Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:38:43.6912151Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:38:43.6912684Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:38:43.6913011Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:38:43.6913352Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:38:43.6913738Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:38:43.6914133Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:38:43.6914832Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:38:43.6914950Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:38:43.6915241Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:38:43.6915583Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:38:43.6916211Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:38:43.6916390Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:38:43.6916776Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:38:43.6917122Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:38:43.6917399Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:38:43.6917959Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:38:43.6918362Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:38:43.6918751Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:38:43.6919066Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:38:43.6919409Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:38:43.6919992Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:38:43.6920372Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:38:43.6921128Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:38:43.6921320Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:38:43.6921652Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:38:43.6922054Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:38:43.6922736Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:38:43.6923096Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:38:43.6923677Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:38:43.6924206Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:38:43.6924551Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:38:43.6925089Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:38:43.6925412Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:38:43.6926212Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:38:43.6926394Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:38:43.6926879Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:38:43.6927269Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:38:43.6927801Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:38:43.6928165Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:38:43.6928953Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:38:43.6929154Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:38:43.6929883Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:38:43.6930135Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:38:43.6930434Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:38:43.6930734Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:38:43.6932284Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:38:43.6934115Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:38:43.6934497Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:38:43.6935039Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:38:43.6935372Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:38:43.6935682Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:38:43.6936014Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:38:43.6936608Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:38:43.6936970Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:38:43.6937370Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:38:43.6937716Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:38:43.6938303Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:38:43.6938618Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:38:43.6938916Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:38:43.6939243Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:38:43.6939606Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:38:43.6939993Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:38:43.6940290Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:38:43.6940901Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:38:43.6941167Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:38:43.6941557Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:38:43.6941976Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:38:43.6942278Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:38:43.6942632Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:38:43.6942989Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:38:43.6943324Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:38:43.6943678Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:38:43.6944071Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:38:43.6944309Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:38:43.6944686Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:38:43.6944986Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:38:43.6945529Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:38:43.6945826Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:38:43.6946362Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:38:43.6946723Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:38:43.6947041Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:38:43.6947424Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:38:43.6947753Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:38:43.6948078Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:38:43.6948374Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:38:43.6948912Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:38:43.6949172Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:38:43.6949512Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:38:43.6949864Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:38:43.6950184Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:38:43.6950801Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:38:43.6951050Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:38:43.6951397Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:38:43.6951778Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:38:43.6952082Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:38:43.6952407Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:38:43.6952749Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:38:43.6953112Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:38:43.6953493Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:38:43.6953793Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:38:43.6954183Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:38:43.6954537Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:38:43.6954840Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:38:43.6955193Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:38:43.6955898Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:38:43.6956137Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:38:43.6956487Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:38:43.6956825Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:38:43.6957359Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:38:43.6957686Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:38:43.6957955Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:38:43.6958317Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:38:43.6958639Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:38:43.6958942Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:38:43.6959484Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:38:43.6959745Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:38:43.6960084Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:38:43.6960496Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:38:43.6960818Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:38:43.6961190Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:38:43.6961536Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:38:43.6961893Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:38:43.6962202Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:38:43.6962559Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:38:43.6962944Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:38:43.6963314Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:38:43.6963641Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:38:43.6963956Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:38:43.6964320Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:38:43.6964694Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:38:43.6965071Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:38:43.6965391Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:38:43.6965720Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:38:43.6966050Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:38:43.6966397Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:38:43.6966725Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:38:43.6967091Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:38:43.6967462Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:38:43.6967851Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:38:43.6968171Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:38:43.6968517Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:38:43.6968828Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:38:43.6969191Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:38:43.6969848Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:38:43.6970165Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:38:43.6970521Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:38:43.6970828Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:38:43.6971217Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:38:43.6971543Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:38:43.6971871Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:38:43.6972235Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:38:43.6972553Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:38:43.6972932Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:38:43.6973326Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:38:43.6973650Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:38:43.6974328Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:38:43.6975058Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:38:43.6975773Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:38:43.6976040Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:38:43.6976575Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:38:43.6976788Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:38:43.6977325Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:38:43.6977929Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:38:43.6978213Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:38:43.6978594Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:38:43.6978970Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:38:43.6979275Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:38:43.6979601Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:38:43.6980009Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:38:43.6980645Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:38:43.6980954Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:38:43.6981511Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:38:43.6981869Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:38:43.6982395Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:38:43.6982679Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:38:43.6983109Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:38:43.6983523Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:38:43.6983895Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:38:43.6984498Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:38:43.6984902Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:38:43.6985552Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:38:43.6985972Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:38:43.6986326Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:38:43.6986715Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:38:43.6987236Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:38:43.6987573Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:38:43.6988152Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:38:43.6988448Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:38:43.6988970Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:38:43.6989395Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:38:43.6989660Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:38:43.6990469Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:38:43.6990838Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:38:43.6991363Z * [new tag] flight_5 -> flight_5 2025-09-07T07:38:43.6991770Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:38:43.6992305Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:38:43.6992557Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:38:43.6993072Z * [new tag] forpull1 -> forpull1 2025-09-07T07:38:43.6993620Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:38:43.6993956Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:38:43.6994482Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:38:43.6994835Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:38:43.6995375Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:38:43.6995791Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:38:43.6996550Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:38:43.6996984Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:38:43.6997654Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:38:43.6998115Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:38:43.6998568Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:38:43.6999052Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:38:43.6999514Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:38:43.6999992Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:38:43.7000561Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:38:43.7000941Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:38:43.7001395Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:38:43.7001807Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:38:43.7002260Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:38:43.7003227Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:38:43.7003706Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:38:43.7004137Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:38:43.7004841Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:38:43.7005212Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:38:43.7005628Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:38:43.7006067Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:38:43.7006484Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:38:43.7006947Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:38:43.7007383Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:38:43.7007773Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:38:43.7008248Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:38:43.7008672Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:38:43.7009144Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:38:43.7009711Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:38:43.7010638Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:38:43.7011011Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:38:43.7011498Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:38:43.7011804Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:38:43.7012267Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:38:43.7013087Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:38:43.7013518Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:38:43.7013931Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:38:43.7014417Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:38:43.7014860Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:38:43.7015267Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:38:43.7015700Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:38:43.7016130Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:38:43.7016641Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:38:43.7017011Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:38:43.7017454Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:38:43.7017852Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:38:43.7018527Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:38:43.7018845Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:38:43.7019272Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:38:43.7019810Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:38:43.7020270Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:38:43.7020716Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:38:43.7021120Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:38:43.7021527Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:38:43.7021959Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:38:43.7022401Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:38:43.7022808Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:38:43.7023448Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:38:43.7023754Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:38:43.7024155Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:38:43.7024557Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:38:43.7024935Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:38:43.7025288Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:38:43.7025710Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:38:43.7026141Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:38:43.7026560Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:38:43.7027048Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:38:43.7027471Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:38:43.7027908Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:38:43.7028288Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:38:43.7028731Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:38:43.7029173Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:38:43.7029576Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:38:43.7029964Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:38:43.7030402Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:38:43.7030874Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:38:43.7031297Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:38:43.7031740Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:38:43.7032192Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:38:43.7032523Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:38:43.7033033Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:38:43.7033494Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:38:43.7033945Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:38:43.7034410Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:38:43.7034873Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:38:43.7035376Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:38:43.7035833Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:38:43.7036512Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:38:43.7036857Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:38:43.7037325Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:38:43.7037782Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:38:43.7038236Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:38:43.7038637Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:38:43.7039068Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:38:43.7039528Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:38:43.7039897Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:38:43.7040330Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:38:43.7040794Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:38:43.7041590Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:38:43.7041970Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:38:43.7042366Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:38:43.7042851Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:38:43.7043286Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:38:43.7044232Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:38:43.7044514Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:38:43.7044915Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:38:43.7045367Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:38:43.7046185Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:38:43.7046473Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:38:43.7046814Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:38:43.7047102Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:38:43.7047561Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:38:43.7047992Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:38:43.7048456Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:38:43.7048942Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:38:43.7049655Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:38:43.7050435Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:38:43.7050647Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:38:43.7050959Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:38:43.7051217Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:38:43.7051958Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:38:43.7052244Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:38:43.7053002Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:38:43.7053210Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:38:43.7053422Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:38:43.7053677Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:38:43.7054063Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:38:43.7054513Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:38:43.7054976Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:38:43.7055430Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:38:43.7056097Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:38:43.7056469Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:38:43.7056994Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:38:43.7057433Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:38:43.7058065Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:38:43.7058491Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:38:43.7058968Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:38:43.7059478Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:38:43.7059905Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:38:43.7060352Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:38:43.7060805Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:38:43.7061638Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:38:43.7062069Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:38:43.7062740Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:38:43.7063376Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:38:43.7064065Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:38:43.7064343Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:38:43.7065053Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:43.7065338Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:38:43.7065769Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:38:43.7066444Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:38:43.7066735Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:38:43.7067216Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:38:43.7067667Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:38:43.7068315Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:38:43.7068650Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:38:43.7069123Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:38:43.7069600Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:38:43.7070064Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:38:43.7070517Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:38:43.7070957Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:38:43.7071417Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:38:43.7072246Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:38:43.7072632Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:38:43.7073094Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:38:43.7073596Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:38:43.7074057Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:38:43.7074529Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:38:43.7074906Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:38:43.7075407Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:38:43.7075865Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:38:43.7076339Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:38:43.7076770Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:38:43.7077297Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:38:43.7077780Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:38:43.7078189Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:38:43.7078661Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:38:43.7079177Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:38:43.7079633Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:38:43.7080083Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:38:43.7080517Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:38:43.7081027Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:38:43.7081544Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:38:43.7081972Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:38:43.7082467Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:38:43.7083142Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:38:43.7083464Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:38:43.7083946Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:38:43.7084383Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:38:43.7084809Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:38:43.7085268Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:38:43.7085714Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:38:43.7086178Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:38:43.7086645Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:38:43.7087278Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:38:43.7087667Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:38:43.7088123Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:38:43.7088630Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:38:43.7089132Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:38:43.7089610Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:38:43.7090078Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:38:43.7090532Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:38:43.7091006Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:38:43.7091474Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:38:43.7091939Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:38:43.7092444Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:38:43.7092931Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:38:43.7093433Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:38:43.7093864Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:38:43.7094505Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:38:43.7094900Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:38:43.7095386Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:38:43.7095855Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:38:43.7096235Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:38:43.7096726Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:38:43.7097178Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:38:43.7097635Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:38:43.7098095Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:38:43.7098498Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:38:43.7098991Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:38:43.7099440Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:38:43.7099915Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:38:43.7100418Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:38:43.7101068Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:38:43.7101394Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:38:43.7101873Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:38:43.7102707Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:38:43.7103131Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:38:43.7103748Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:38:43.7104126Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:38:43.7104585Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:38:43.7105225Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:38:43.7105592Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:38:43.7105956Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:38:43.7106471Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:38:43.7107469Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:38:43.7107874Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:38:43.7108357Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:38:43.7108828Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:38:43.7109287Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:38:43.7109739Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:38:43.7110193Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:38:43.7110839Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:38:43.7111064Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:38:43.7111548Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:38:43.7112033Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:38:43.7112480Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:38:43.7113001Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:38:43.7113477Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:38:43.7113973Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:38:43.7114431Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:38:43.7114911Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:38:43.7115295Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:38:43.7115757Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:38:43.7116195Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:38:43.7116556Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:38:43.7117051Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:38:43.7117460Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:38:43.7117842Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:38:43.7118298Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:38:43.7119035Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:38:43.7119397Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:38:43.7119927Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:38:43.7120425Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:38:43.7120930Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:38:43.7121275Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:38:43.7121816Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:38:43.7122269Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:38:43.7122669Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:38:43.7123128Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:38:43.7123588Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:38:43.7124290Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:38:43.7124671Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:38:43.7125142Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:38:43.7125524Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:38:43.7126049Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:38:43.7126330Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:38:43.7126839Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:38:43.7127116Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:38:43.7127631Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:38:43.7127907Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:38:43.7128421Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:38:43.7128695Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:38:43.7129143Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:38:43.7129491Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:38:43.7129889Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:38:43.7130436Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:38:43.7130794Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:38:43.7131426Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:38:43.7131768Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:38:43.7132388Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:38:43.7132743Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:38:43.7133280Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:38:43.7133571Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:38:43.7134137Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:38:43.7134381Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:38:43.7134903Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:38:43.7135692Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:38:43.7136262Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:38:43.7136721Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:38:43.7137241Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:38:43.7137459Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:38:43.7138010Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:38:43.7138313Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:38:43.7138597Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:38:43.7138962Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:38:43.7139476Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:38:43.7139905Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:38:43.7140476Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:38:43.7140873Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:38:43.7141430Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:38:43.7141815Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:38:43.7142178Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:38:43.7142459Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:38:43.7143006Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:38:43.7143368Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:38:43.7143884Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:38:43.7144352Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:38:43.7144859Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:38:43.7145425Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:38:43.7145934Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:38:43.7146166Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:38:43.7146485Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:38:43.7146832Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:38:43.7147420Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:38:43.7147852Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:38:43.7148383Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:38:43.7148787Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:38:43.7149112Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:38:43.7149626Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:38:43.7150035Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:38:43.7150437Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:38:43.7150941Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:38:43.7151472Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:38:43.7151734Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:38:43.7152049Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:38:43.7152634Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:38:43.7152965Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:38:43.7153485Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:38:43.7153835Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:38:43.7154408Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:38:43.7154700Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:38:43.7154986Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:38:43.7155484Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:38:43.7155853Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:38:43.7156225Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:38:43.7156699Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:38:43.7157156Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:38:43.7157810Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:38:43.7158226Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:38:43.7158602Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:38:43.7158904Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:38:43.7159482Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:38:43.7159687Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:38:43.7160000Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:38:43.7160527Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:38:43.7161049Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:38:43.7161447Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:38:43.7161965Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:38:43.7162362Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:38:43.7162883Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:38:43.7163474Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:38:43.7163848Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:38:43.7164404Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:38:43.7164926Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:38:43.7165252Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:38:43.7165615Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:38:43.7166223Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:38:43.7166585Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:38:43.7167191Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:38:43.7167407Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:38:43.7167974Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:38:43.7168159Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:38:43.7168711Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:38:43.7169071Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:38:43.7169624Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:38:43.7169814Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:38:43.7170148Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:38:43.7170816Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:38:43.7171047Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:38:43.7171374Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:38:43.7172288Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:38:43.7172511Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:38:43.7173058Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:38:43.7173405Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:38:43.7173934Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:38:43.7174492Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:38:43.7174736Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:38:43.7175316Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:38:43.7175870Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:38:43.7176081Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:38:43.7176669Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:38:43.7177011Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:38:43.7177540Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:38:43.7177907Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:38:43.7178448Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:38:43.7178824Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:38:43.7179115Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:38:43.7179721Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:38:43.7180128Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:38:43.7180456Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:38:43.7180978Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:38:43.7181187Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:38:43.7182104Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:38:43.7182470Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:38:43.7182983Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:38:43.7183391Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:38:43.7184132Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:38:43.7184456Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:38:43.7184770Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:38:43.7185322Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:38:43.7185688Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:38:43.7186129Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:38:43.7186719Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:38:43.7187094Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:38:43.7187639Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:38:43.7187842Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:38:43.7188358Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:38:43.7188755Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:38:43.7189320Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:38:43.7189551Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:38:43.7190139Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:38:43.7190494Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:38:43.7191006Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:38:43.7191341Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:38:43.7192115Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:38:43.7192482Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:38:43.7193029Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:38:43.7193237Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:38:43.7193549Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:38:43.7194127Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:38:43.7194633Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:38:43.7194835Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:38:43.7195239Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:38:43.7195569Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:38:43.7196144Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:38:43.7196555Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:38:43.7196885Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:38:43.7197453Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:38:43.7197787Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:38:43.7198324Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:38:43.7198850Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:38:43.7199086Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:38:43.7199578Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:38:43.7200007Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:38:43.7200548Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:38:43.7200897Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:38:43.7201208Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:38:43.7201795Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:38:43.7202117Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:38:43.7202408Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:38:43.7202735Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:38:43.7203291Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:38:43.7203647Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:38:43.7204261Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:38:43.7204588Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:38:43.7205111Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:38:43.7205503Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:38:43.7205976Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:38:43.7206424Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:38:43.7206968Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:38:43.7207380Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:38:43.7207873Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:38:43.7208344Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:38:43.7208868Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:38:43.7209224Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:38:43.7209944Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:38:43.7210508Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:38:43.7210892Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:38:43.7211476Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:38:43.7211810Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:38:43.7212113Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:38:43.7212657Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:38:43.7213163Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:38:43.7213536Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:38:43.7214084Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:38:43.7214601Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:38:43.7214983Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:38:43.7215550Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:38:43.7215919Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:38:43.7216253Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:38:43.7216557Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:38:43.7216855Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:38:43.7217516Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:38:43.7218029Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:38:43.7218581Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:38:43.7218889Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:38:43.7219584Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:38:43.7220167Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:38:43.7220942Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:38:43.7221547Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:38:43.7221886Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:38:43.7222572Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:38:43.7222940Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:38:43.7223257Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:38:43.7224049Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:38:43.7224430Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:38:43.7225063Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:38:43.7225416Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:38:43.7225976Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:38:43.7226358Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:38:43.7226946Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:38:43.7227535Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:38:43.7227712Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:38:43.7228297Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:38:43.7228813Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:38:43.7229345Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:38:43.7229858Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:38:43.7230227Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:38:43.7230592Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:38:43.7237699Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:38:43.7238297Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:38:43.7238807Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:38:43.7239293Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:38:43.7239769Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:38:43.7240295Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:38:43.7240775Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:38:43.7241177Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:38:43.7241716Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:38:43.7242193Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:38:43.7242563Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:38:43.7656560Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:38:43.7678968Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:43.7681437Z ##[endgroup] 2025-09-07T07:38:43.7681695Z ##[group]Determining the checkout info 2025-09-07T07:38:43.7682347Z ##[endgroup] 2025-09-07T07:38:43.7685247Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:38:43.7722703Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:38:43.7740844Z ##[group]Checking out the ref 2025-09-07T07:38:43.7743553Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:44.7122942Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:38:44.7123180Z 2025-09-07T07:38:44.7123336Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:38:44.7123884Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:38:44.7124230Z state without impacting any branches by switching back to a branch. 2025-09-07T07:38:44.7124419Z 2025-09-07T07:38:44.7124548Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:38:44.7124850Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:38:44.7125016Z 2025-09-07T07:38:44.7125107Z git switch -c 2025-09-07T07:38:44.7125232Z 2025-09-07T07:38:44.7125310Z Or undo this operation with: 2025-09-07T07:38:44.7125430Z 2025-09-07T07:38:44.7125497Z git switch - 2025-09-07T07:38:44.7125592Z 2025-09-07T07:38:44.7125736Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:38:44.7125947Z 2025-09-07T07:38:44.7126069Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:38:44.7161991Z ##[endgroup] 2025-09-07T07:38:44.7162290Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:38:44.7168158Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:44.7204713Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:38:44.7225156Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:38:44.7246493Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:38:44.7265626Z ##[endgroup] 2025-09-07T07:38:44.7265893Z ##[group]Fetching submodules 2025-09-07T07:38:44.7268168Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:38:44.7536853Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:38:44.7789737Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:38:44.7801044Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:38:44.8126866Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:38:44.8127567Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:38:44.8128114Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:38:44.8129336Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:38:44.8130626Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:38:44.8143439Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:38:44.8145078Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:38:44.8146863Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:38:44.8148519Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:38:44.8150334Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:38:44.8153705Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:38:44.8166965Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:38:44.8168853Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:38:44.8171400Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:38:44.8173226Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:38:44.8175131Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:38:44.8178237Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:38:44.8191637Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:38:44.8193967Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:38:44.8196169Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:38:44.8198361Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:38:44.8200547Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:38:44.8202777Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:38:44.8205045Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:38:44.8219077Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:38:44.8221662Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:38:44.8224200Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:38:44.8226545Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:38:44.8229053Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:38:44.8231726Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:38:44.8246189Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:38:44.8249016Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:38:44.8252160Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:38:44.8256247Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:38:44.8259412Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:38:44.8283816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:38:45.0358677Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:38:45.0359220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:38:45.0359685Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:38:45.0416593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:38:45.0417049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:38:45.1910824Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:38:45.1911995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:38:45.1912837Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:38:45.1913694Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:38:45.1914506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:38:45.1924979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:38:46.1874260Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:38:46.1875110Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:38:46.1875925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:38:46.1876717Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:38:46.1877491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:38:46.1878356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:38:46.1879199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:38:46.1879954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:38:46.1880721Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:38:46.1881532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:38:46.1882319Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:38:46.1883321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:38:46.1884051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:38:46.1884861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:38:46.1885638Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:38:46.1937292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:38:54.2524896Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:38:54.2525355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:38:54.2525748Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:38:54.2526181Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:38:54.2526598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:38:54.2527007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:38:54.2527411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:38:54.2527825Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:38:54.2528216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:38:54.2647383Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:38:54.2741575Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:38:54.2812390Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:38:54.2992266Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:38:54.3604210Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:38:54.4006757Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:38:54.8921273Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:38:55.0099694Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:38:55.0110720Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:38:55.0132971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:38:58.0399522Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:38:58.0569920Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:38:58.2850632Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:38:58.3193410Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:38:58.3964320Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:38:58.4311450Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:38:58.9047276Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:38:59.0121130Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:38:59.0133741Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:38:59.0135250Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:38:59.0136417Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:38:59.0137626Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:38:59.0139023Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:38:59.0140426Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:38:59.0141767Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:38:59.0164243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:39:00.0140098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:39:00.0140816Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:39:00.0141506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:39:00.0142097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:39:00.1140615Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:39:00.7231659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:39:04.2536090Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:39:04.4343641Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:39:04.5118252Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:39:04.9854731Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:39:05.0213578Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:05.0301814Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:39:05.1094596Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:39:05.1607131Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:39:05.1618038Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:05.1619144Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:05.1639450Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:39:07.9366981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:39:08.1046039Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:39:08.5350580Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:39:08.6319663Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:39:08.6574427Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:39:08.6867464Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:39:08.7051287Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:39:08.7392498Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:39:08.7487502Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:39:08.7499102Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:08.7519708Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:39:19.2658875Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:39:19.2810367Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:39:19.3571391Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:39:19.3580977Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:19.3582100Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:19.3583387Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:19.3604609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:39:19.9182882Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:39:20.1784980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:39:20.2419723Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:39:20.2431253Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:20.2432563Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:20.2433977Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:20.2435330Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:20.2436970Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:20.2438443Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:20.2439923Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:20.2441513Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:20.2464040Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:39:21.3618182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:39:21.3618871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:39:21.3619490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:39:21.3620100Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:39:21.3620716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:39:21.3621335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:39:21.4618950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:39:25.5761713Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:39:25.5896079Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:39:25.6174852Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:39:25.6279485Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:39:25.6290015Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:25.6308716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:39:25.8788600Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:39:25.8933127Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:39:25.9251413Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:39:26.0026633Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:39:26.0151284Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:39:26.0444405Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:39:26.0951285Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:39:26.1280983Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:39:26.1566408Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:39:26.2430742Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:39:26.5115609Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:39:26.5138099Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:26.5158258Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:39:27.4144162Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:39:27.4628388Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:39:27.4640291Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:27.4641401Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:27.4642615Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:27.4643991Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:27.4645390Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:27.4646769Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:27.4648145Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:27.4649486Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:27.4670489Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:39:27.8046550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:39:27.8047605Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:39:27.8048266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:39:27.8048894Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:39:27.9046719Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:39:28.2735380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:39:33.0326134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:39:33.5483211Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:39:33.5803458Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:39:33.5941767Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:39:33.6747922Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:39:33.6847198Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:39:33.6957938Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:39:33.7075833Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:39:33.7086518Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:33.7087424Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:33.7109768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:39:35.4781105Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:39:35.6771782Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:39:35.7123857Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:39:36.0103257Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:39:36.0189721Z Submodule path 'third_party/pocketfft': 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2025-09-07T07:39:40.3722200Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-07T07:39:40.3970997Z Entering 'android/libs/fbjni' 2025-09-07T07:39:40.4011500Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:39:40.4025198Z Entering 'third_party/FP16' 2025-09-07T07:39:40.4066668Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:39:40.4078184Z Entering 'third_party/FXdiv' 2025-09-07T07:39:40.4114959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:39:40.4127405Z Entering 'third_party/NNPACK' 2025-09-07T07:39:40.4168914Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config remote.origin.url 2025-09-07T07:39:40.6211224Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:40.6248972Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config remote.origin.url 2025-09-07T07:39:40.6262388Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:40.6301366Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:40.6315401Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:40.6354729Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2025-09-07T07:39:40.6523796Z Entering 'third_party/kleidiai' 2025-09-07T07:39:40.6565090Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config remote.origin.url 2025-09-07T07:39:40.6576530Z Entering 'third_party/mimalloc' 2025-09-07T07:39:40.6614191Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2025-09-07T07:39:40.6628233Z Entering 'third_party/nlohmann' 2025-09-07T07:39:40.6668673Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config remote.origin.url 2025-09-07T07:39:40.6680530Z Entering 'third_party/onnx' 2025-09-07T07:39:40.6719804Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config remote.origin.url 2025-09-07T07:39:40.6745843Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:40.6784878Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:40.6799712Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:40.6840912Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:39:40.6852413Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:40.6891531Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:40.6902600Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:40.6940758Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:40.6952606Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:40.6990731Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:39:40.7003950Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:40.7042913Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:39:40.7057086Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:40.7096747Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:39:40.7110298Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:40.7152798Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config remote.origin.url 2025-09-07T07:39:40.7165878Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:40.7205779Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config remote.origin.url 2025-09-07T07:39:40.7218254Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:40.7258039Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config remote.origin.url 2025-09-07T07:39:40.7271220Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:40.7310494Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:39:40.7324799Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:40.7363929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:39:40.7392308Z Entering 'third_party/pocketfft' 2025-09-07T07:39:40.7431776Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:39:40.7443426Z Entering 'third_party/protobuf' 2025-09-07T07:39:40.7478979Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:39:40.7492000Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:40.7530483Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:40.7544223Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:40.7583651Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:40.7597006Z Entering 'third_party/psimd' 2025-09-07T07:39:40.7636854Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:39:40.7648069Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:40.7685435Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:39:40.7697558Z Entering 'third_party/pybind11' 2025-09-07T07:39:40.7736344Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:40.7748464Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:40.7784873Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:39:40.7796452Z Entering 'third_party/sleef' 2025-09-07T07:39:40.7836321Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:39:40.7849529Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:40.7890182Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:39:40.7903057Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:40.7943306Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:40.7956011Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:40.7994871Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:39:40.8007466Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:40.8047148Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:39:40.8059092Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:40.8099677Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:40.8111528Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:40.8155476Z 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 2025-09-07T07:39:40.8981868Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:39:40.9219756Z Entering 'android/libs/fbjni' 2025-09-07T07:39:40.9248208Z Entering 'third_party/FP16' 2025-09-07T07:39:40.9280046Z Entering 'third_party/FXdiv' 2025-09-07T07:39:40.9314352Z Entering 'third_party/NNPACK' 2025-09-07T07:39:40.9347267Z Entering 'third_party/NVTX' 2025-09-07T07:39:40.9377481Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:40.9406311Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:40.9446625Z Entering 'third_party/aiter' 2025-09-07T07:39:40.9479659Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:40.9515753Z Entering 'third_party/benchmark' 2025-09-07T07:39:40.9547952Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:40.9586545Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:40.9619485Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:40.9651274Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:40.9682584Z Entering 'third_party/cutlass' 2025-09-07T07:39:40.9722457Z Entering 'third_party/fbgemm' 2025-09-07T07:39:40.9756989Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:40.9790190Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:40.9825918Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:40.9855514Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:40.9892110Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:40.9922375Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:40.9955317Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:40.9990048Z Entering 'third_party/flash-attention' 2025-09-07T07:39:41.0025687Z Entering 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2025-09-07T07:39:41.0500437Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:41.0533394Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:41.0563546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:41.0597039Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:41.0630993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:41.0663310Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:41.0696537Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:41.0730409Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:41.0762668Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:41.0800286Z Entering 'third_party/kleidiai' 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2025-09-07T07:39:41.1235455Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:41.1268365Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:41.1303452Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:41.1353202Z Entering 'third_party/pocketfft' 2025-09-07T07:39:41.1387992Z Entering 'third_party/protobuf' 2025-09-07T07:39:41.1425151Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:41.1458095Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:41.1490844Z Entering 'third_party/psimd' 2025-09-07T07:39:41.1525321Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:41.1560715Z Entering 'third_party/pybind11' 2025-09-07T07:39:41.1596237Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:41.1630081Z Entering 'third_party/sleef' 2025-09-07T07:39:41.1662508Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:41.1693895Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:41.1726982Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:41.1759121Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:41.1790292Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:41.1822880Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:41.1872703Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:39:41.2122575Z Entering 'android/libs/fbjni' 2025-09-07T07:39:41.2155723Z Entering 'third_party/FP16' 2025-09-07T07:39:41.2190105Z Entering 'third_party/FXdiv' 2025-09-07T07:39:41.2224123Z Entering 'third_party/NNPACK' 2025-09-07T07:39:41.2254806Z Entering 'third_party/NVTX' 2025-09-07T07:39:41.2286323Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:41.2320122Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:41.2362482Z Entering 'third_party/aiter' 2025-09-07T07:39:41.2393570Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:41.2429874Z Entering 'third_party/benchmark' 2025-09-07T07:39:41.2464447Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:41.2504697Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:41.2537357Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:41.2568731Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:41.2602713Z Entering 'third_party/cutlass' 2025-09-07T07:39:41.2639218Z Entering 'third_party/fbgemm' 2025-09-07T07:39:41.2673439Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:41.2705185Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:41.2743099Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:41.2774606Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:41.2813532Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:41.2848251Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:41.2880932Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:41.2914461Z Entering 'third_party/flash-attention' 2025-09-07T07:39:41.3094646Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:41.3124484Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:41.3163029Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:41.3198413Z Entering 'third_party/fmt' 2025-09-07T07:39:41.3233051Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:41.3264180Z Entering 'third_party/gloo' 2025-09-07T07:39:41.3296980Z Entering 'third_party/googletest' 2025-09-07T07:39:41.3326860Z Entering 'third_party/ideep' 2025-09-07T07:39:41.3357699Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:41.3393906Z Entering 'third_party/ittapi' 2025-09-07T07:39:41.3428599Z Entering 'third_party/kineto' 2025-09-07T07:39:41.3463311Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:41.4200878Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:41.4231784Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:41.4262874Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:41.4294193Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:41.4327513Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:41.4358122Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:41.4403070Z Entering 'third_party/pocketfft' 2025-09-07T07:39:41.4437712Z Entering 'third_party/protobuf' 2025-09-07T07:39:41.4472794Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:41.4506397Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:41.4540215Z Entering 'third_party/psimd' 2025-09-07T07:39:41.4574054Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:41.4608068Z Entering 'third_party/pybind11' 2025-09-07T07:39:41.4639137Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:41.4671550Z Entering 'third_party/sleef' 2025-09-07T07:39:41.4704645Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:41.4739717Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:41.4770099Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:41.4800524Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:41.4832936Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:41.4863307Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:41.4908334Z ##[endgroup] 2025-09-07T07:39:41.4938876Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:39:41.4958948Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:41.5035021Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:41.5035286Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:41.5035508Z # Clean stale submodule dirs 2025-09-07T07:39:41.5035723Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:39:41.5035975Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:41.5036226Z else 2025-09-07T07:39:41.5036437Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:41.5036669Z fi 2025-09-07T07:39:41.5045142Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:41.5045392Z env: 2025-09-07T07:39:41.5045562Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.5045750Z NO_SUDO: true 2025-09-07T07:39:41.5045911Z ##[endgroup] 2025-09-07T07:39:41.5303216Z Entering 'android/libs/fbjni' 2025-09-07T07:39:41.5328550Z Entering 'third_party/FP16' 2025-09-07T07:39:41.5351698Z Entering 'third_party/FXdiv' 2025-09-07T07:39:41.5375512Z Entering 'third_party/NNPACK' 2025-09-07T07:39:41.5403587Z Entering 'third_party/NVTX' 2025-09-07T07:39:41.5432251Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:41.5459933Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:41.5556391Z Entering 'third_party/aiter' 2025-09-07T07:39:41.5586852Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:41.5665357Z Entering 'third_party/benchmark' 2025-09-07T07:39:41.5688905Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:41.5770817Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:41.5796111Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:41.5822174Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:41.5849354Z Entering 'third_party/cutlass' 2025-09-07T07:39:41.5919491Z Entering 'third_party/fbgemm' 2025-09-07T07:39:41.5966373Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:41.5990584Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:41.6067599Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:41.6093536Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:41.6160549Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:41.6184015Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:41.6204664Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:41.6237244Z Entering 'third_party/flash-attention' 2025-09-07T07:39:41.6270682Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:41.6342262Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:41.6399486Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:41.6449957Z Entering 'third_party/fmt' 2025-09-07T07:39:41.6476280Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:41.6501389Z Entering 'third_party/gloo' 2025-09-07T07:39:41.6529358Z Entering 'third_party/googletest' 2025-09-07T07:39:41.6555960Z Entering 'third_party/ideep' 2025-09-07T07:39:41.6577562Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:41.6636129Z Entering 'third_party/ittapi' 2025-09-07T07:39:41.6663043Z Entering 'third_party/kineto' 2025-09-07T07:39:41.6691256Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:41.6716135Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:41.6751525Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:41.6777950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:41.6805003Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:41.6828575Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:41.6853646Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:41.6879249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:41.6905829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:41.6935762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:41.6964271Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:41.6990197Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:41.7017065Z Entering 'third_party/kleidiai' 2025-09-07T07:39:41.7047267Z Entering 'third_party/mimalloc' 2025-09-07T07:39:41.7072975Z Entering 'third_party/nlohmann' 2025-09-07T07:39:41.7105926Z Entering 'third_party/onnx' 2025-09-07T07:39:41.7327478Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:41.7353201Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:41.7393496Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:41.7418369Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:41.7444308Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:41.7469165Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:41.7501127Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:41.7526345Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:41.7551180Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:41.7574529Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:41.7605948Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:41.7629686Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:41.7803888Z Entering 'third_party/pocketfft' 2025-09-07T07:39:41.7828206Z Entering 'third_party/protobuf' 2025-09-07T07:39:41.7881707Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:41.7903426Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:41.7930675Z Entering 'third_party/psimd' 2025-09-07T07:39:41.7954452Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:41.7977030Z Entering 'third_party/pybind11' 2025-09-07T07:39:41.8001381Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:41.8025754Z Entering 'third_party/sleef' 2025-09-07T07:39:41.8053361Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:41.8080052Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:41.8104053Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:41.8126947Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:41.8154009Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:41.8177329Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:41.8296735Z Prepare all required actions 2025-09-07T07:39:41.8297234Z Getting action download info 2025-09-07T07:39:41.9424100Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:39:41.9424343Z env: 2025-09-07T07:39:41.9424525Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.9424721Z ##[endgroup] 2025-09-07T07:39:41.9452605Z ##[group]Run set -euo pipefail 2025-09-07T07:39:41.9452853Z set -euo pipefail 2025-09-07T07:39:41.9453181Z function get_ec2_metadata() { 2025-09-07T07:39:41.9453417Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:39:41.9453798Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:39:41.9454137Z  category=$1 2025-09-07T07:39:41.9454371Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:39:41.9454632Z  runner_name_str=i-0356b71ff85eb4aa1 2025-09-07T07:39:41.9454891Z  if [[ -f /.inarc ]]; then 2025-09-07T07:39:41.9455110Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:39:41.9455340Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:39:41.9455612Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:39:41.9455863Z  else 2025-09-07T07:39:41.9456352Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-07T07:39:41.9456843Z  fi 2025-09-07T07:39:41.9456983Z } 2025-09-07T07:39:41.9457158Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:39:41.9457413Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:39:41.9457698Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:39:41.9457938Z echo "system info $(uname -a)" 2025-09-07T07:39:41.9463001Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:41.9463235Z env: 2025-09-07T07:39:41.9463393Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.9463557Z ##[endgroup] 2025-09-07T07:39:41.9575303Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:39:41.9648739Z instance-id: i-0356b71ff85eb4aa1 2025-09-07T07:39:41.9723891Z instance-type: c7i.metal-24xl 2025-09-07T07:39:41.9732793Z system info Linux ip-10-0-68-22.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:39:41.9747144Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:41.9747678Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:41.9751734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:41.9751986Z env: 2025-09-07T07:39:41.9752145Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.9752322Z ##[endgroup] 2025-09-07T07:39:41.9813458Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:39:41.9813746Z if systemctl is-active --quiet docker; then 2025-09-07T07:39:41.9813993Z  echo "Docker daemon is running..."; 2025-09-07T07:39:41.9814200Z else 2025-09-07T07:39:41.9814425Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:39:41.9814691Z fi 2025-09-07T07:39:41.9818571Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:41.9818809Z env: 2025-09-07T07:39:41.9818965Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.9819147Z ##[endgroup] 2025-09-07T07:39:41.9879613Z Docker daemon is running... 2025-09-07T07:39:41.9903315Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:39:41.9903524Z with: 2025-09-07T07:39:41.9903665Z shell: bash 2025-09-07T07:39:41.9903910Z timeout_minutes: 5 2025-09-07T07:39:41.9904074Z max_attempts: 3 2025-09-07T07:39:41.9904238Z retry_wait_seconds: 30 2025-09-07T07:39:41.9905455Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-09-07T07:39:41.9906719Z polling_interval_seconds: 1 2025-09-07T07:39:41.9906900Z warning_on_retry: true 2025-09-07T07:39:41.9907072Z continue_on_error: false 2025-09-07T07:39:41.9907231Z env: 2025-09-07T07:39:41.9907379Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:41.9907552Z AWS_RETRY_MODE: standard 2025-09-07T07:39:41.9907716Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:39:41.9907875Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:39:41.9908050Z ##[endgroup] 2025-09-07T07:39:42.8015968Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:42.8016336Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:42.8016688Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:42.8016948Z 2025-09-07T07:39:42.8017045Z Login Succeeded 2025-09-07T07:39:43.0546316Z Command completed after 1 attempt(s). 2025-09-07T07:39:43.0587785Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:43.0588108Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:43.0588383Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:43.0594185Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.0594412Z env: 2025-09-07T07:39:43.0594569Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.0594748Z ##[endgroup] 2025-09-07T07:39:43.0654329Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:43.0654687Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:43.0654953Z # shellcheck disable=SC2046 2025-09-07T07:39:43.0655178Z docker stop $(docker ps -q) || true 2025-09-07T07:39:43.0655415Z # Prune all of the docker images 2025-09-07T07:39:43.0655632Z docker system prune -af 2025-09-07T07:39:43.0660051Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.0660288Z env: 2025-09-07T07:39:43.0660434Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.0660610Z ##[endgroup] 2025-09-07T07:39:43.1094738Z "docker stop" requires at least 1 argument. 2025-09-07T07:39:43.1095036Z See 'docker stop --help'. 2025-09-07T07:39:43.1095182Z 2025-09-07T07:39:43.1095313Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:39:43.1095484Z 2025-09-07T07:39:43.1095576Z Stop one or more running containers 2025-09-07T07:39:43.1281647Z Total reclaimed space: 0B 2025-09-07T07:39:43.1303907Z ##[group]Run set +e 2025-09-07T07:39:43.1304116Z set +e 2025-09-07T07:39:43.1304295Z set -x 2025-09-07T07:39:43.1304459Z  2025-09-07T07:39:43.1304681Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:43.1305097Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:39:43.1305579Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:39:43.1305929Z # one is returned at random 2025-09-07T07:39:43.1306206Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:39:43.1306463Z  2025-09-07T07:39:43.1306741Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:43.1307033Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:39:43.1307381Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:39:43.1307640Z  2025-09-07T07:39:43.1307822Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:43.1308081Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:39:43.1308419Z  exit 1 2025-09-07T07:39:43.1308595Z  fi 2025-09-07T07:39:43.1308761Z fi 2025-09-07T07:39:43.1308914Z  2025-09-07T07:39:43.1309105Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:39:43.1309362Z  # Clean up any old records first 2025-09-07T07:39:43.1309608Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:39:43.1309827Z fi 2025-09-07T07:39:43.1309984Z  2025-09-07T07:39:43.1310211Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:39:43.1310481Z cat /etc/hosts 2025-09-07T07:39:43.1314851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.1315103Z env: 2025-09-07T07:39:43.1315276Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.1315472Z ##[endgroup] 2025-09-07T07:39:43.1333100Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:43.1339073Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:39:43.1339584Z ++ tail -n1 2025-09-07T07:39:43.1692820Z + RESOLVED_IP=18.160.10.28 2025-09-07T07:39:43.1693183Z + '[' -z 18.160.10.28 ']' 2025-09-07T07:39:43.1693396Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:39:43.1708654Z + sudo tee -a /etc/hosts 2025-09-07T07:39:43.1708987Z + echo '18.160.10.28 download.pytorch.org' 2025-09-07T07:39:43.4675146Z 18.160.10.28 download.pytorch.org 2025-09-07T07:39:43.4686504Z + cat /etc/hosts 2025-09-07T07:39:43.4693339Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:39:43.4697270Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:39:43.4697527Z 18.160.10.28 download.pytorch.org 2025-09-07T07:39:43.4793786Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:39:43.4794099Z with: 2025-09-07T07:39:43.4794635Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4795187Z use-custom-docker-registry: true 2025-09-07T07:39:43.4795389Z docker-build-dir: .ci/docker 2025-09-07T07:39:43.4795587Z docker-build-script: ./build.sh 2025-09-07T07:39:43.4795778Z working-directory: . 2025-09-07T07:39:43.4796002Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4796245Z force-push: false 2025-09-07T07:39:43.4796401Z env: 2025-09-07T07:39:43.4796551Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.4796723Z ##[endgroup] 2025-09-07T07:39:43.4808439Z ##[group]Run set -ex 2025-09-07T07:39:43.4808646Z set -ex 2025-09-07T07:39:43.4808803Z  2025-09-07T07:39:43.4809085Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:39:43.4809462Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:39:43.4809782Z # job could then download the pre-built image as usual 2025-09-07T07:39:43.4810170Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:39:43.4810537Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4810743Z else 2025-09-07T07:39:43.4810921Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4811181Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4811424Z  2025-09-07T07:39:43.4811745Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:39:43.4812098Z  exit 0 2025-09-07T07:39:43.4812240Z fi 2025-09-07T07:39:43.4812383Z  2025-09-07T07:39:43.4812596Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:39:43.4812939Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:39:43.4813326Z  # use it as it is, but first let's extract the tag 2025-09-07T07:39:43.4813606Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:39:43.4813905Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4814186Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4814424Z else 2025-09-07T07:39:43.4814605Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:39:43.4814838Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:39:43.4815083Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:39:43.4815291Z  fi 2025-09-07T07:39:43.4815566Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:39:43.4815903Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4816267Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4816654Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4816904Z fi 2025-09-07T07:39:43.4821551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.4821786Z env: 2025-09-07T07:39:43.4821943Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.4822126Z REPO_NAME: pytorch 2025-09-07T07:39:43.4822695Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4823210Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:43.4823395Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:39:43.4823638Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4823887Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:39:43.4824074Z CUSTOM_TAG_PREFIX: 2025-09-07T07:39:43.4824244Z ##[endgroup] 2025-09-07T07:39:43.4842176Z + [[ -d .ci/docker ]] 2025-09-07T07:39:43.4842402Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:39:43.4842607Z + [[ true == \t\r\u\e ]] 2025-09-07T07:39:43.4842786Z + echo skip=false 2025-09-07T07:39:43.4843434Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-09-07T07:39:43.4847819Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4848458Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:39:43.4865314Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4865911Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4866653Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4881931Z ##[group]Run set +e 2025-09-07T07:39:43.4882141Z set +e 2025-09-07T07:39:43.4882304Z set -x 2025-09-07T07:39:43.4882460Z  2025-09-07T07:39:43.4882603Z login() { 2025-09-07T07:39:43.4882910Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:43.4883232Z } 2025-09-07T07:39:43.4883379Z  2025-09-07T07:39:43.4883516Z retry () { 2025-09-07T07:39:43.4883700Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:43.4883903Z } 2025-09-07T07:39:43.4884049Z  2025-09-07T07:39:43.4884196Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:43.4884470Z  2025-09-07T07:39:43.4884624Z START_TIME=$(date +%s) 2025-09-07T07:39:43.4884825Z # Wait up to 120 minutes 2025-09-07T07:39:43.4885067Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:39:43.4885359Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:39:43.4885657Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:39:43.4885884Z  exit 0 2025-09-07T07:39:43.4886041Z  fi 2025-09-07T07:39:43.4886184Z  2025-09-07T07:39:43.4886435Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:39:43.4887002Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:39:43.4887389Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:39:43.4887705Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:39:43.4887953Z  # It's a Docker build job, let's build the image 2025-09-07T07:39:43.4888169Z  break 2025-09-07T07:39:43.4888329Z  else 2025-09-07T07:39:43.4888549Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:39:43.4888794Z  sleep 300 2025-09-07T07:39:43.4888966Z  fi 2025-09-07T07:39:43.4889120Z done 2025-09-07T07:39:43.4889273Z  2025-09-07T07:39:43.4889485Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:39:43.4889891Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:39:43.4890197Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:39:43.4890473Z  # if we're on the base branch then use the parent commit 2025-09-07T07:39:43.4890722Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:39:43.4890916Z else 2025-09-07T07:39:43.4891124Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:39:43.4891411Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:39:43.4891631Z fi 2025-09-07T07:39:43.4891769Z  2025-09-07T07:39:43.4891933Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:39:43.4892164Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4892373Z  2025-09-07T07:39:43.4892653Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:39:43.4892969Z  exit 0 2025-09-07T07:39:43.4893121Z fi 2025-09-07T07:39:43.4893264Z  2025-09-07T07:39:43.4893465Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:39:43.4893855Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:39:43.4894195Z  exit 1 2025-09-07T07:39:43.4894347Z fi 2025-09-07T07:39:43.4894490Z  2025-09-07T07:39:43.4894713Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:39:43.4895092Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:39:43.4895431Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:39:43.4895831Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:39:43.4896269Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:39:43.4896529Z fi 2025-09-07T07:39:43.4896672Z  2025-09-07T07:39:43.4896849Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:43.4900478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:43.4900776Z env: 2025-09-07T07:39:43.4900929Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:43.4901115Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:43.4901341Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:43.4901910Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4902589Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:43.4903021Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4903263Z DOCKER_PUSH: 2025-09-07T07:39:43.4903425Z ##[endgroup] 2025-09-07T07:39:43.4920668Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4920945Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4924107Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:43.4924438Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:43.8593627Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:43.8593993Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:43.8594341Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:43.8594568Z 2025-09-07T07:39:43.8594895Z Login Succeeded 2025-09-07T07:39:43.8606640Z ++ date +%s 2025-09-07T07:39:43.8613753Z + START_TIME=1757230783 2025-09-07T07:39:43.8615879Z ++ date +%s 2025-09-07T07:39:43.8622685Z + [[ 1757223583 -lt 1757230783 ]] 2025-09-07T07:39:43.8623295Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.0625160Z { 2025-09-07T07:39:44.0625326Z "schemaVersion": 2, 2025-09-07T07:39:44.0625701Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:39:44.0626016Z "config": { 2025-09-07T07:39:44.0626249Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:39:44.0626503Z "size": 30269, 2025-09-07T07:39:44.0626779Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:39:44.0627072Z }, 2025-09-07T07:39:44.0627206Z "layers": [ 2025-09-07T07:39:44.0627352Z { 2025-09-07T07:39:44.0627570Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0627831Z "size": 30448359, 2025-09-07T07:39:44.0628125Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:39:44.0628428Z }, 2025-09-07T07:39:44.0628568Z { 2025-09-07T07:39:44.0628782Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0629044Z "size": 1554, 2025-09-07T07:39:44.0629319Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:39:44.0629620Z }, 2025-09-07T07:39:44.0629750Z { 2025-09-07T07:39:44.0629967Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0630231Z "size": 313297813, 2025-09-07T07:39:44.0630502Z "digest": 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"sha256:71f708151a84685fc366b85e914dac9f5279313eff07358d79ecaaeecb0f1c42" 2025-09-07T07:39:44.0678025Z }, 2025-09-07T07:39:44.0678163Z { 2025-09-07T07:39:44.0678370Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0678617Z "size": 129, 2025-09-07T07:39:44.0678868Z "digest": "sha256:622d8cfb39ea4dda608d2819c6a9de45df81b6f8319ee8ab4a24c36d81b9a132" 2025-09-07T07:39:44.0679155Z }, 2025-09-07T07:39:44.0679286Z { 2025-09-07T07:39:44.0679485Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0679722Z "size": 778, 2025-09-07T07:39:44.0679967Z "digest": "sha256:284119a92cb13dacff06926444aab4f99756039acb48abba7b75d35c367ed3f1" 2025-09-07T07:39:44.0680243Z }, 2025-09-07T07:39:44.0680372Z { 2025-09-07T07:39:44.0680563Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0680857Z "size": 724, 2025-09-07T07:39:44.0681107Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:44.0681375Z }, 2025-09-07T07:39:44.0681497Z { 2025-09-07T07:39:44.0681696Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0681937Z "size": 140, 2025-09-07T07:39:44.0682187Z "digest": "sha256:96695940d842555623cfe4fb7b52e949423e8c8f383e55d02363e7e5c5804afa" 2025-09-07T07:39:44.0682450Z }, 2025-09-07T07:39:44.0682582Z { 2025-09-07T07:39:44.0682784Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0683028Z "size": 32, 2025-09-07T07:39:44.0683272Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0683553Z }, 2025-09-07T07:39:44.0683687Z { 2025-09-07T07:39:44.0683890Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0684122Z "size": 160, 2025-09-07T07:39:44.0684372Z "digest": "sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:39:44.0684647Z }, 2025-09-07T07:39:44.0684778Z { 2025-09-07T07:39:44.0684971Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0685223Z "size": 1012, 2025-09-07T07:39:44.0685489Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:39:44.0685777Z }, 2025-09-07T07:39:44.0685899Z { 2025-09-07T07:39:44.0686103Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0686349Z "size": 724, 2025-09-07T07:39:44.0686597Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:44.0710667Z }, 2025-09-07T07:39:44.0710831Z { 2025-09-07T07:39:44.0711073Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0711348Z "size": 135, 2025-09-07T07:39:44.0711632Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:39:44.0711930Z }, 2025-09-07T07:39:44.0712070Z { 2025-09-07T07:39:44.0712287Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0712532Z "size": 32, 2025-09-07T07:39:44.0712793Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0713190Z }, 2025-09-07T07:39:44.0713348Z { 2025-09-07T07:39:44.0713550Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0713802Z "size": 158, 2025-09-07T07:39:44.0714061Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:39:44.0714344Z }, 2025-09-07T07:39:44.0714472Z { 2025-09-07T07:39:44.0714682Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0714930Z "size": 1369, 2025-09-07T07:39:44.0715189Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:39:44.0715468Z }, 2025-09-07T07:39:44.0715599Z { 2025-09-07T07:39:44.0715800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0716045Z "size": 32, 2025-09-07T07:39:44.0716292Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0716572Z }, 2025-09-07T07:39:44.0716708Z { 2025-09-07T07:39:44.0716913Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0717151Z "size": 136, 2025-09-07T07:39:44.0717396Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:39:44.0717661Z }, 2025-09-07T07:39:44.0717793Z { 2025-09-07T07:39:44.0717988Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0718228Z "size": 380, 2025-09-07T07:39:44.0718480Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:39:44.0718760Z }, 2025-09-07T07:39:44.0718932Z { 2025-09-07T07:39:44.0719144Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0719387Z "size": 32, 2025-09-07T07:39:44.0719634Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0719905Z }, 2025-09-07T07:39:44.0720035Z { 2025-09-07T07:39:44.0720239Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0720483Z "size": 104, 2025-09-07T07:39:44.0720724Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:39:44.0721001Z }, 2025-09-07T07:39:44.0721137Z { 2025-09-07T07:39:44.0721345Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0721586Z "size": 407, 2025-09-07T07:39:44.0721840Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:39:44.0722121Z }, 2025-09-07T07:39:44.0722249Z { 2025-09-07T07:39:44.0722449Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0722692Z "size": 32, 2025-09-07T07:39:44.0722941Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0723222Z }, 2025-09-07T07:39:44.0723347Z { 2025-09-07T07:39:44.0723546Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0723788Z "size": 109, 2025-09-07T07:39:44.0724041Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:39:44.0724314Z }, 2025-09-07T07:39:44.0724440Z { 2025-09-07T07:39:44.0724642Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0724886Z "size": 1897, 2025-09-07T07:39:44.0725134Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:39:44.0725410Z }, 2025-09-07T07:39:44.0725539Z { 2025-09-07T07:39:44.0725741Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0725979Z "size": 243443118, 2025-09-07T07:39:44.0726235Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:39:44.0726503Z }, 2025-09-07T07:39:44.0726632Z { 2025-09-07T07:39:44.0726827Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0727106Z "size": 106, 2025-09-07T07:39:44.0727362Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:39:44.0727646Z }, 2025-09-07T07:39:44.0727768Z { 2025-09-07T07:39:44.0727972Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0728211Z "size": 163, 2025-09-07T07:39:44.0728458Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:39:44.0728734Z }, 2025-09-07T07:39:44.0728858Z { 2025-09-07T07:39:44.0729055Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0729301Z "size": 7943, 2025-09-07T07:39:44.0729560Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:39:44.0729829Z }, 2025-09-07T07:39:44.0729956Z { 2025-09-07T07:39:44.0730154Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0730400Z "size": 8074, 2025-09-07T07:39:44.0730661Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:39:44.0731001Z }, 2025-09-07T07:39:44.0731139Z { 2025-09-07T07:39:44.0731351Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0731600Z "size": 303, 2025-09-07T07:39:44.0731865Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:39:44.0732141Z }, 2025-09-07T07:39:44.0732282Z { 2025-09-07T07:39:44.0732485Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0732740Z "size": 32, 2025-09-07T07:39:44.0733075Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0733362Z }, 2025-09-07T07:39:44.0733490Z { 2025-09-07T07:39:44.0733699Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0733955Z "size": 108, 2025-09-07T07:39:44.0734209Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:39:44.0734480Z }, 2025-09-07T07:39:44.0734617Z { 2025-09-07T07:39:44.0734825Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0735084Z "size": 54145699, 2025-09-07T07:39:44.0735344Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:39:44.0735620Z }, 2025-09-07T07:39:44.0735756Z { 2025-09-07T07:39:44.0735961Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:44.0736204Z "size": 32, 2025-09-07T07:39:44.0736465Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:44.0736745Z } 2025-09-07T07:39:44.0736875Z ] 2025-09-07T07:39:44.0737002Z } 2025-09-07T07:39:44.0756046Z ##[group]Run set -eux 2025-09-07T07:39:44.0756239Z set -eux 2025-09-07T07:39:44.0756494Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:39:44.0757142Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-09-07T07:39:44.0762267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.0762498Z env: 2025-09-07T07:39:44.0762653Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.0762829Z ##[endgroup] 2025-09-07T07:39:44.0783981Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:39:44.0784355Z + jq --raw-output .SecretString 2025-09-07T07:39:44.0784978Z + jq -r .docker_hub_readonly_token 2025-09-07T07:39:44.0785516Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:39:44.5079227Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:44.5079610Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:44.5080354Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:44.5080581Z 2025-09-07T07:39:44.5080652Z Login Succeeded 2025-09-07T07:39:44.5155430Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:44.5155687Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:44.5155945Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:39:44.5160184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.5160430Z env: 2025-09-07T07:39:44.5160600Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.5161134Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.5161652Z ##[endgroup] 2025-09-07T07:39:44.5180709Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.5210812Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:39:44.5211105Z with: 2025-09-07T07:39:44.5211647Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.5212264Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:44.5212530Z env: 2025-09-07T07:39:44.5212693Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.5212880Z ##[endgroup] 2025-09-07T07:39:44.5222694Z ##[group]Run set -x 2025-09-07T07:39:44.5222895Z set -x 2025-09-07T07:39:44.5223064Z set +e 2025-09-07T07:39:44.5223230Z  2025-09-07T07:39:44.5223382Z login() { 2025-09-07T07:39:44.5223709Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:44.5224043Z } 2025-09-07T07:39:44.5224199Z  2025-09-07T07:39:44.5224384Z retry () { 2025-09-07T07:39:44.5224590Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:44.5224800Z } 2025-09-07T07:39:44.5224951Z  2025-09-07T07:39:44.5225118Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:44.5225324Z  2025-09-07T07:39:44.5225632Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:39:44.5226047Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:39:44.5226290Z  2025-09-07T07:39:44.5226438Z set -e 2025-09-07T07:39:44.5226666Z # ignore output since only exit code is used for conditional 2025-09-07T07:39:44.5226991Z # only pull docker image if it's not available locally 2025-09-07T07:39:44.5227338Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:39:44.5227664Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:39:44.5227882Z fi 2025-09-07T07:39:44.5232770Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:44.5233018Z env: 2025-09-07T07:39:44.5233170Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:44.5233674Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.5234228Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:44.5234460Z ##[endgroup] 2025-09-07T07:39:44.5251181Z + set +e 2025-09-07T07:39:44.5251430Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:44.5251699Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:44.5255153Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:44.5256162Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:44.8907699Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:44.8908296Z Login Succeeded 2025-09-07T07:39:44.8908665Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:44.8909028Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:44.8909270Z 2025-09-07T07:39:44.8922274Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:44.8923028Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:39:45.0709945Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:39:45.0710210Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:39:45.0710459Z + set -e 2025-09-07T07:39:45.0711148Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.0711733Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:39:45.0806417Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.0807261Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:45.3157947Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:39:45.3158539Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:39:45.3158784Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:39:45.3158997Z 572424b92528: Pulling fs layer 2025-09-07T07:39:45.3159213Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:39:45.3159427Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:39:45.3159647Z 7efa39950d32: Pulling fs layer 2025-09-07T07:39:45.3159873Z a10eb16a7271: Pulling fs layer 2025-09-07T07:39:45.3160090Z 7d52cf579654: Pulling fs layer 2025-09-07T07:39:45.3160307Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:39:45.3160532Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:39:45.3160776Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:39:45.3160961Z da63046995a2: Pulling fs layer 2025-09-07T07:39:45.3161140Z 78243fdb9906: Pulling fs layer 2025-09-07T07:39:45.3161323Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:39:45.3161505Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:39:45.3161689Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:39:45.3161856Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:39:45.3162034Z acbd5447dd14: Pulling fs layer 2025-09-07T07:39:45.3162207Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:39:45.3162386Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:39:45.3162554Z 7efa39950d32: Waiting 2025-09-07T07:39:45.3162728Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:39:45.3162912Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:39:45.3163094Z a10eb16a7271: Waiting 2025-09-07T07:39:45.3163258Z d80602abf3cc: Pulling fs layer 2025-09-07T07:39:45.3163447Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:39:45.3163632Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:39:45.3163810Z 7d52cf579654: Waiting 2025-09-07T07:39:45.3163964Z cb6a20fcf4e2: Waiting 2025-09-07T07:39:45.3164133Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:39:45.3164309Z 46fb6a8b3e1d: Waiting 2025-09-07T07:39:45.3164478Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:39:45.3164649Z ba263639b0f4: Pulling fs layer 2025-09-07T07:39:45.3164831Z a5ab7a280382: Pulling fs layer 2025-09-07T07:39:45.3165017Z 80b2232d952f: Pulling fs layer 2025-09-07T07:39:45.3165197Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:39:45.3165371Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:39:45.3165550Z 092516f71fe3: Pulling fs layer 2025-09-07T07:39:45.3165731Z 8c0825014a62: Pulling fs layer 2025-09-07T07:39:45.3165907Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:39:45.3166080Z 5ad6977cc38e: Waiting 2025-09-07T07:39:45.3166251Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:39:45.3166631Z da63046995a2: Waiting 2025-09-07T07:39:45.3166803Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:39:45.3166973Z 78243fdb9906: Waiting 2025-09-07T07:39:45.3167146Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:39:45.3167327Z 6f70d5d50aba: Waiting 2025-09-07T07:39:45.3167500Z c1b766f9b961: Pulling fs layer 2025-09-07T07:39:45.3167677Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:39:45.3167857Z 364070434a64: Pulling fs layer 2025-09-07T07:39:45.3168031Z 4f4fb700ef54: Waiting 2025-09-07T07:39:45.3168195Z 69715d3ad3c4: Waiting 2025-09-07T07:39:45.3168354Z 71f708151a84: Pulling fs layer 2025-09-07T07:39:45.3168534Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:39:45.3168714Z 7ace90c063f3: Waiting 2025-09-07T07:39:45.3168883Z 284119a92cb1: Pulling fs layer 2025-09-07T07:39:45.3169050Z acbd5447dd14: Waiting 2025-09-07T07:39:45.3169216Z 96695940d842: Pulling fs layer 2025-09-07T07:39:45.3169438Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:39:45.3169700Z 744523d9b7f5: Waiting 2025-09-07T07:39:45.3169863Z 1c35b7d4b67c: Waiting 2025-09-07T07:39:45.3170027Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:39:45.3170207Z 68c20f3c23bb: Waiting 2025-09-07T07:39:45.3170378Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:39:45.3170554Z 5bd615a7b945: Waiting 2025-09-07T07:39:45.3170708Z f4986a00e3ae: Waiting 2025-09-07T07:39:45.3170870Z 21902f6e4f8c: Waiting 2025-09-07T07:39:45.3171030Z bf4ee4e45e92: Waiting 2025-09-07T07:39:45.3171190Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:39:45.3171368Z c1b766f9b961: Waiting 2025-09-07T07:39:45.3171535Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:39:45.3171714Z 4e2848642431: Pulling fs layer 2025-09-07T07:39:45.3171883Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:39:45.3172057Z 6e726ef07b5d: Waiting 2025-09-07T07:39:45.3172216Z d80602abf3cc: Waiting 2025-09-07T07:39:45.3172375Z 3c51bf0bc362: Waiting 2025-09-07T07:39:45.3172522Z 364070434a64: Waiting 2025-09-07T07:39:45.3172681Z 8e0d2f63da0a: Waiting 2025-09-07T07:39:45.3172845Z 119ab3bceafa: Waiting 2025-09-07T07:39:45.3173013Z 41619248f604: Pulling fs layer 2025-09-07T07:39:45.3173191Z be86f8c4f654: Pulling fs layer 2025-09-07T07:39:45.3173369Z af8eadc9eaab: Waiting 2025-09-07T07:39:45.3173535Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:39:45.3173711Z 73aae7958ba1: Waiting 2025-09-07T07:39:45.3173872Z da8d8b696333: Pulling fs layer 2025-09-07T07:39:45.3174050Z e7769b0d7a82: Waiting 2025-09-07T07:39:45.3174207Z ba263639b0f4: Waiting 2025-09-07T07:39:45.3174368Z 0eed4c15712b: Waiting 2025-09-07T07:39:45.3174526Z 386b0c49c498: Pulling fs layer 2025-09-07T07:39:45.3174707Z cc93cd65e90f: Waiting 2025-09-07T07:39:45.3174862Z 092516f71fe3: Waiting 2025-09-07T07:39:45.3175029Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:39:45.3175198Z a5ab7a280382: Waiting 2025-09-07T07:39:45.3175355Z 8c0825014a62: Waiting 2025-09-07T07:39:45.3175511Z 71f708151a84: Waiting 2025-09-07T07:39:45.3175675Z 04c04be7408f: Pulling fs layer 2025-09-07T07:39:45.3175840Z 80b2232d952f: Waiting 2025-09-07T07:39:45.3176008Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:39:45.3176194Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:39:45.3176375Z 37e2336101eb: Pulling fs layer 2025-09-07T07:39:45.3176542Z a625cbbc05b9: Waiting 2025-09-07T07:39:45.3176703Z a95e1f2f1aad: Waiting 2025-09-07T07:39:45.3176873Z f1ac881fde33: Pulling fs layer 2025-09-07T07:39:45.3177053Z 43b14c67347e: Pulling fs layer 2025-09-07T07:39:45.3177219Z 7ddca6c4c050: Waiting 2025-09-07T07:39:45.3177378Z 4e2848642431: Waiting 2025-09-07T07:39:45.3177537Z 622d8cfb39ea: Waiting 2025-09-07T07:39:45.3177690Z 284119a92cb1: Waiting 2025-09-07T07:39:45.3177839Z 5e944f1ed1be: Waiting 2025-09-07T07:39:45.3177993Z 8085756b0cc0: Waiting 2025-09-07T07:39:45.3178152Z be86f8c4f654: Waiting 2025-09-07T07:39:45.3178299Z 96695940d842: Waiting 2025-09-07T07:39:45.3178457Z 7e9ff0c6f103: Waiting 2025-09-07T07:39:45.3178611Z 41619248f604: Waiting 2025-09-07T07:39:45.3178763Z f1ac881fde33: Waiting 2025-09-07T07:39:45.3178916Z 2908d6baaa6b: Waiting 2025-09-07T07:39:45.3179074Z 37e2336101eb: Waiting 2025-09-07T07:39:45.3179233Z 04c04be7408f: Waiting 2025-09-07T07:39:45.3179433Z f8690caa3ac5: Waiting 2025-09-07T07:39:45.3179583Z 43b14c67347e: Waiting 2025-09-07T07:39:45.3179743Z ef1340e22a4b: Waiting 2025-09-07T07:39:45.3179905Z da8d8b696333: Waiting 2025-09-07T07:39:45.3180065Z 386b0c49c498: Waiting 2025-09-07T07:39:45.3180216Z ac6077ec9fa5: Waiting 2025-09-07T07:39:45.3180376Z 2b1d0ea7efe0: Waiting 2025-09-07T07:39:45.4010784Z 18a5ee5b0e2e: Verifying Checksum 2025-09-07T07:39:45.4893692Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T07:39:45.4893947Z 1c35b7d4b67c: Download complete 2025-09-07T07:39:45.5682982Z 68c20f3c23bb: Verifying Checksum 2025-09-07T07:39:45.5683241Z 68c20f3c23bb: Download complete 2025-09-07T07:39:45.6479174Z 7efa39950d32: Verifying Checksum 2025-09-07T07:39:45.6479532Z 7efa39950d32: Download complete 2025-09-07T07:39:45.6897461Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:39:45.6897804Z e6fdc8487bfe: Download complete 2025-09-07T07:39:45.7391026Z a10eb16a7271: Verifying Checksum 2025-09-07T07:39:45.7391311Z a10eb16a7271: Download complete 2025-09-07T07:39:45.7607197Z 7d52cf579654: Download complete 2025-09-07T07:39:45.8497906Z 46fb6a8b3e1d: Verifying Checksum 2025-09-07T07:39:45.8498347Z 46fb6a8b3e1d: Download complete 2025-09-07T07:39:45.9293868Z 5ad6977cc38e: Download complete 2025-09-07T07:39:45.9932901Z da63046995a2: Verifying Checksum 2025-09-07T07:39:45.9934707Z da63046995a2: Download complete 2025-09-07T07:39:46.0661881Z 78243fdb9906: Verifying Checksum 2025-09-07T07:39:46.0662101Z 78243fdb9906: Download complete 2025-09-07T07:39:46.3217588Z e6fdc8487bfe: Pull complete 2025-09-07T07:39:46.3436107Z 18a5ee5b0e2e: Pull complete 2025-09-07T07:39:46.8965553Z cb6a20fcf4e2: Verifying Checksum 2025-09-07T07:39:46.8965875Z cb6a20fcf4e2: Download complete 2025-09-07T07:39:46.9026189Z 4f4fb700ef54: Download complete 2025-09-07T07:39:46.9908711Z 69715d3ad3c4: Verifying Checksum 2025-09-07T07:39:46.9908948Z 69715d3ad3c4: Download complete 2025-09-07T07:39:47.0847690Z 7ace90c063f3: Download complete 2025-09-07T07:39:47.1690709Z acbd5447dd14: Verifying Checksum 2025-09-07T07:39:47.1690959Z acbd5447dd14: Download complete 2025-09-07T07:39:47.2945412Z 744523d9b7f5: Verifying Checksum 2025-09-07T07:39:47.2945793Z 744523d9b7f5: Download complete 2025-09-07T07:39:47.3670845Z 5bd615a7b945: Download complete 2025-09-07T07:39:47.4560873Z f4986a00e3ae: Verifying Checksum 2025-09-07T07:39:47.4561152Z f4986a00e3ae: Download complete 2025-09-07T07:39:47.5372481Z 21902f6e4f8c: Download complete 2025-09-07T07:39:47.6295106Z d80602abf3cc: Download complete 2025-09-07T07:39:47.7166741Z 3c51bf0bc362: Download complete 2025-09-07T07:39:47.7898998Z 119ab3bceafa: Verifying Checksum 2025-09-07T07:39:47.7899331Z 119ab3bceafa: Download complete 2025-09-07T07:39:47.8588337Z af8eadc9eaab: Verifying Checksum 2025-09-07T07:39:47.8588713Z af8eadc9eaab: Download complete 2025-09-07T07:39:47.9530606Z e7769b0d7a82: Verifying Checksum 2025-09-07T07:39:47.9531016Z e7769b0d7a82: Download complete 2025-09-07T07:39:48.5235305Z 572424b92528: Verifying Checksum 2025-09-07T07:39:48.5235686Z 572424b92528: Download complete 2025-09-07T07:39:48.5943795Z a5ab7a280382: Verifying Checksum 2025-09-07T07:39:48.5944207Z a5ab7a280382: Download complete 2025-09-07T07:39:48.6976519Z 80b2232d952f: Download complete 2025-09-07T07:39:48.7671443Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:39:48.7671789Z cc93cd65e90f: Download complete 2025-09-07T07:39:48.8429250Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:39:48.8429595Z 0eed4c15712b: Download complete 2025-09-07T07:39:49.0942567Z 092516f71fe3: Verifying Checksum 2025-09-07T07:39:49.0942957Z 092516f71fe3: Download complete 2025-09-07T07:39:49.1783487Z 8c0825014a62: Verifying Checksum 2025-09-07T07:39:49.1783748Z 8c0825014a62: Download complete 2025-09-07T07:39:49.2721188Z 8e0d2f63da0a: Verifying Checksum 2025-09-07T07:39:49.2721508Z 8e0d2f63da0a: Download complete 2025-09-07T07:39:49.3510087Z 73aae7958ba1: Download complete 2025-09-07T07:39:49.4365574Z ac6077ec9fa5: Verifying Checksum 2025-09-07T07:39:49.4365927Z ac6077ec9fa5: Download complete 2025-09-07T07:39:49.4994478Z bf4ee4e45e92: Verifying Checksum 2025-09-07T07:39:49.4994843Z bf4ee4e45e92: Download complete 2025-09-07T07:39:52.5257950Z ba263639b0f4: Verifying Checksum 2025-09-07T07:39:52.5258294Z ba263639b0f4: Download complete 2025-09-07T07:39:52.6104158Z 6e726ef07b5d: Verifying Checksum 2025-09-07T07:39:52.6104608Z 6e726ef07b5d: Download complete 2025-09-07T07:39:55.1578840Z 572424b92528: Pull complete 2025-09-07T07:39:55.3878416Z 364070434a64: Verifying Checksum 2025-09-07T07:39:55.3878789Z 364070434a64: Download complete 2025-09-07T07:39:55.6017066Z 1c35b7d4b67c: Pull complete 2025-09-07T07:39:56.0310824Z 68c20f3c23bb: Pull complete 2025-09-07T07:39:56.4889955Z 7efa39950d32: Pull complete 2025-09-07T07:39:56.9342290Z a10eb16a7271: Pull complete 2025-09-07T07:39:57.3547280Z 7d52cf579654: Pull complete 2025-09-07T07:39:59.4923216Z cb6a20fcf4e2: Pull complete 2025-09-07T07:39:59.8423673Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:40:00.1692758Z 5ad6977cc38e: Pull complete 2025-09-07T07:40:00.4643168Z da63046995a2: Pull complete 2025-09-07T07:40:00.7465478Z 78243fdb9906: Pull complete 2025-09-07T07:40:20.1047874Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:40:20.1048173Z 6f70d5d50aba: Download complete 2025-09-07T07:40:20.2290921Z 622d8cfb39ea: Verifying Checksum 2025-09-07T07:40:20.2291193Z 622d8cfb39ea: Download complete 2025-09-07T07:40:20.3752886Z 96695940d842: Download complete 2025-09-07T07:40:20.4470174Z 7ddca6c4c050: Verifying Checksum 2025-09-07T07:40:20.4470433Z 7ddca6c4c050: Download complete 2025-09-07T07:40:20.5280299Z a95e1f2f1aad: Download complete 2025-09-07T07:40:20.5938751Z 8085756b0cc0: Download complete 2025-09-07T07:40:20.6651367Z 7e9ff0c6f103: Verifying Checksum 2025-09-07T07:40:20.6651617Z 7e9ff0c6f103: Download complete 2025-09-07T07:40:20.7403787Z a625cbbc05b9: Verifying Checksum 2025-09-07T07:40:20.7404018Z a625cbbc05b9: Download complete 2025-09-07T07:40:20.7972417Z 4e2848642431: Verifying Checksum 2025-09-07T07:40:20.7972699Z 4e2848642431: Download complete 2025-09-07T07:40:20.8623685Z 5e944f1ed1be: Download complete 2025-09-07T07:40:20.9547979Z 41619248f604: Verifying Checksum 2025-09-07T07:40:20.9548232Z 41619248f604: Download complete 2025-09-07T07:40:21.0456702Z be86f8c4f654: Download complete 2025-09-07T07:40:21.1209521Z ef1340e22a4b: Download complete 2025-09-07T07:40:21.2079822Z da8d8b696333: Verifying Checksum 2025-09-07T07:40:21.2080085Z da8d8b696333: Download complete 2025-09-07T07:40:23.6723037Z 386b0c49c498: Verifying Checksum 2025-09-07T07:40:23.6723448Z 386b0c49c498: Download complete 2025-09-07T07:40:23.7489342Z 2b1d0ea7efe0: Verifying Checksum 2025-09-07T07:40:23.7489598Z 2b1d0ea7efe0: Download complete 2025-09-07T07:40:23.8325275Z 04c04be7408f: Download complete 2025-09-07T07:40:23.9444270Z f8690caa3ac5: Download complete 2025-09-07T07:40:24.0197310Z 2908d6baaa6b: Verifying Checksum 2025-09-07T07:40:24.0197563Z 2908d6baaa6b: Download complete 2025-09-07T07:40:24.0916495Z 37e2336101eb: Verifying Checksum 2025-09-07T07:40:24.0916828Z 37e2336101eb: Download complete 2025-09-07T07:40:24.1830559Z f1ac881fde33: Verifying Checksum 2025-09-07T07:40:24.1830875Z f1ac881fde33: Download complete 2025-09-07T07:40:24.7757077Z 43b14c67347e: Verifying Checksum 2025-09-07T07:40:24.7757365Z 43b14c67347e: Download complete 2025-09-07T07:40:55.7084697Z 6f70d5d50aba: Pull complete 2025-09-07T07:40:56.1561361Z 4f4fb700ef54: Pull complete 2025-09-07T07:40:56.6734169Z 69715d3ad3c4: Pull complete 2025-09-07T07:40:57.2643701Z 7ace90c063f3: Pull complete 2025-09-07T07:40:57.7252337Z acbd5447dd14: Pull complete 2025-09-07T07:40:58.2006934Z 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Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:25.0317722Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:25.0396620Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:25.0397235Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:25.0405094Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:25.0405343Z env: 2025-09-07T07:46:25.0405514Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:25.0405699Z ##[endgroup] 2025-09-07T07:46:25.0469227Z Prepare all required actions 2025-09-07T07:46:25.0548648Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:46:25.0548871Z with: 2025-09-07T07:46:25.0549355Z github-token: *** 2025-09-07T07:46:25.0549503Z env: 2025-09-07T07:46:25.0549656Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:25.0549840Z ##[endgroup] 2025-09-07T07:46:25.0634226Z ##[group]Run set -eux 2025-09-07T07:46:25.0634413Z set -eux 2025-09-07T07:46:25.0634691Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:46:25.0638565Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:25.0638945Z env: 2025-09-07T07:46:25.0639105Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:25.0639420Z GITHUB_TOKEN: *** 2025-09-07T07:46:25.0639585Z ##[endgroup] 2025-09-07T07:46:25.0656717Z + python3 .github/scripts/get_workflow_job_id.py 17525285611 i-0356b71ff85eb4aa1 2025-09-07T07:46:25.5906615Z Setting output job-id=49775585814 2025-09-07T07:46:25.5907149Z Setting output job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:25.5986375Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:25.5986814Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:25.5987364Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:46:25.5987849Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:25.5991617Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:25.5991854Z env: 2025-09-07T07:46:25.5992007Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:25.5992185Z JOB_ID: 49775585814 2025-09-07T07:46:25.5992500Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:25.5992863Z WORKFLOW_NAME: inductor-perf-nightly-x86 2025-09-07T07:46:25.5993116Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T07:46:25.5993301Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:46:25.5993486Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:46:25.5993674Z ##[endgroup] 2025-09-07T07:46:25.9095537Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:26.2083625Z Collecting psutil==5.9.8 2025-09-07T07:46:26.2209560Z 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) 2025-09-07T07:46:26.3486399Z Collecting dataclasses_json==0.6.7 2025-09-07T07:46:26.3517034Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:46:26.4623934Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:46:26.4650368Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:46:26.6298408Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:46:26.6320212Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:46:26.6735348Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:46:26.6756244Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:46:26.7344758Z Collecting packaging>=17.0 2025-09-07T07:46:26.7366996Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:46:26.7993222Z Collecting typing-extensions>=3.7.4 2025-09-07T07:46:26.8020555Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:46:26.8673106Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:46:26.8695540Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:46:27.0733978Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:46:27.7085129Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-09-07T07:46:27.8794753Z Prepare all required actions 2025-09-07T07:46:27.8795020Z Getting action download info 2025-09-07T07:46:28.0202156Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:46:28.3754399Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:46:28.6620914Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:46:28.6621145Z with: 2025-09-07T07:46:28.6621314Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:28.6621625Z s3-bucket: gha-artifacts 2025-09-07T07:46:28.6621795Z env: 2025-09-07T07:46:28.6621943Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:28.6622112Z ##[endgroup] 2025-09-07T07:46:28.6689603Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:28.6689817Z with: 2025-09-07T07:46:28.6689986Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:28.6690196Z s3-bucket: gha-artifacts 2025-09-07T07:46:28.6690412Z region: us-east-1 2025-09-07T07:46:28.6690556Z env: 2025-09-07T07:46:28.6690700Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:28.6690869Z ##[endgroup] 2025-09-07T07:46:29.1918738Z (node:57442) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:29.1919138Z 2025-09-07T07:46:29.1919346Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:29.1919700Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:29.1920050Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:30.8670522Z Found 1 objects with prefix pytorch/pytorch/17525285611/linux-jammy-py3.9-gcc11-build/ 2025-09-07T07:46:30.8670965Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:35.4782929Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:35.4786812Z Artifact download has finished successfully 2025-09-07T07:46:35.5030265Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:46:35.5030509Z unzip -o artifacts.zip 2025-09-07T07:46:35.5035048Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:35.5035275Z env: 2025-09-07T07:46:35.5035428Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:35.5035604Z ##[endgroup] 2025-09-07T07:46:35.5636373Z Archive: artifacts.zip 2025-09-07T07:46:35.5637426Z creating: dist/ 2025-09-07T07:46:36.5748354Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:36.5748692Z creating: dist/vision/ 2025-09-07T07:46:36.5819447Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:36.5819750Z creating: dist/audio/ 2025-09-07T07:46:36.5846901Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:36.5847190Z creating: dist/ao/ 2025-09-07T07:46:36.5882135Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:46:36.5987080Z inflating: dist/.ninja_log 2025-09-07T07:46:36.5987465Z creating: build/custom_test_artifacts/ 2025-09-07T07:46:36.5987812Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:46:36.5988143Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:46:36.5988489Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:46:36.5991102Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T07:46:36.5991484Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T07:46:36.5991857Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 2025-09-07T07:46:36.5992244Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CompilerIdC/ 2025-09-07T07:46:36.5992854Z creating: 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inflating: build/bin/c10_irange_test 2025-09-07T07:46:41.0266628Z inflating: build/bin/c10_intrusive_ptr_test 2025-09-07T07:46:41.0315637Z inflating: build/bin/c10_lazy_test 2025-09-07T07:46:41.0369690Z inflating: build/bin/c10_logging_test 2025-09-07T07:46:41.0439370Z inflating: build/bin/c10_optional_test 2025-09-07T07:46:41.0497257Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-09-07T07:46:41.0547949Z inflating: build/bin/c10_registry_test 2025-09-07T07:46:41.0685366Z inflating: build/bin/c10_small_vector_test 2025-09-07T07:46:41.0734598Z inflating: build/bin/c10_ssize_test 2025-09-07T07:46:41.0787866Z inflating: build/bin/c10_string_util_test 2025-09-07T07:46:41.0834579Z inflating: build/bin/c10_string_view_test 2025-09-07T07:46:41.0882489Z inflating: build/bin/c10_tempfile_test 2025-09-07T07:46:41.0935762Z inflating: build/bin/c10_typeid_test 2025-09-07T07:46:41.0977468Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-09-07T07:46:41.1487655Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-09-07T07:46:41.2011936Z inflating: build/bin/vec_test_all_types_AVX512 2025-09-07T07:46:41.2541567Z inflating: build/bin/vec_test_all_types_AVX2 2025-09-07T07:46:41.2590271Z inflating: build/bin/static_runtime_bench 2025-09-07T07:46:41.2812867Z inflating: build/bin/static_runtime_test 2025-09-07T07:46:41.2880682Z inflating: build/bin/Dict_test 2025-09-07T07:46:41.2930110Z inflating: build/bin/Dimname_test 2025-09-07T07:46:41.2990789Z inflating: build/bin/MaybeOwned_test 2025-09-07T07:46:41.3044612Z inflating: build/bin/NamedTensor_test 2025-09-07T07:46:41.3099935Z inflating: build/bin/apply_utils_test 2025-09-07T07:46:41.3155359Z inflating: build/bin/atest 2025-09-07T07:46:41.3215503Z inflating: build/bin/basic 2025-09-07T07:46:41.3268158Z inflating: build/bin/broadcast_test 2025-09-07T07:46:41.3316782Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:46:41.3371472Z inflating: build/bin/cpu_generator_test 2025-09-07T07:46:41.3422301Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:46:41.3506897Z inflating: build/bin/cpu_rng_test 2025-09-07T07:46:41.3555472Z inflating: build/bin/dlconvertor_test 2025-09-07T07:46:41.3609669Z inflating: build/bin/extension_backend_test 2025-09-07T07:46:41.3662172Z inflating: build/bin/half_test 2025-09-07T07:46:41.3750709Z inflating: build/bin/ivalue_test 2025-09-07T07:46:41.3798111Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:46:41.3848834Z inflating: build/bin/math_kernel_test 2025-09-07T07:46:41.3899745Z inflating: build/bin/memory_format_test 2025-09-07T07:46:41.3950775Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:46:41.4001208Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:46:41.4054430Z inflating: build/bin/native_test 2025-09-07T07:46:41.4102845Z inflating: build/bin/operator_name_test 2025-09-07T07:46:41.4151272Z inflating: build/bin/operators_test 2025-09-07T07:46:41.4200645Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:46:41.4263288Z inflating: build/bin/pow_test 2025-09-07T07:46:41.4317584Z inflating: build/bin/quantized_test 2025-09-07T07:46:41.4365146Z inflating: build/bin/reduce_ops_test 2025-09-07T07:46:41.4413566Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:46:41.4467117Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:46:41.4522540Z inflating: build/bin/scalar_test 2025-09-07T07:46:41.4571400Z inflating: build/bin/StorageUtils_test 2025-09-07T07:46:41.4620700Z inflating: build/bin/stride_properties_test 2025-09-07T07:46:41.4693212Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:46:41.4744789Z inflating: build/bin/test_parallel 2025-09-07T07:46:41.4792929Z inflating: build/bin/thread_init_test 2025-09-07T07:46:41.4845071Z inflating: build/bin/type_ptr_test 2025-09-07T07:46:41.4900821Z inflating: build/bin/type_test 2025-09-07T07:46:41.4950758Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:46:41.4997943Z inflating: build/bin/verify_api_visibility 2025-09-07T07:46:41.5063165Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:46:41.5111660Z inflating: build/bin/weakref_test 2025-09-07T07:46:41.5160803Z inflating: build/bin/wrapdim_test 2025-09-07T07:46:41.5209628Z inflating: build/bin/xla_tensor_test 2025-09-07T07:46:41.5265740Z inflating: build/bin/IListRef_test 2025-09-07T07:46:41.5361692Z inflating: build/bin/List_test 2025-09-07T07:46:41.5423132Z inflating: build/bin/KernelFunction_test 2025-09-07T07:46:41.5533336Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:46:41.5619513Z inflating: build/bin/kernel_function_test 2025-09-07T07:46:41.5733559Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:46:41.5824567Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:46:41.5881582Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:46:41.5967984Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:46:41.6016626Z inflating: build/bin/CppSignature_test 2025-09-07T07:46:41.6069073Z inflating: build/bin/backend_fallback_test 2025-09-07T07:46:41.6339937Z inflating: build/bin/op_registration_test 2025-09-07T07:46:41.6386384Z inflating: build/bin/op_allowlist_test 2025-09-07T07:46:41.6448955Z inflating: build/bin/inline_container_test 2025-09-07T07:46:41.7410226Z inflating: build/bin/test_jit 2025-09-07T07:46:41.7460447Z inflating: build/bin/FileStoreTest 2025-09-07T07:46:41.7510271Z inflating: build/bin/BackoffTest 2025-09-07T07:46:41.7564258Z inflating: build/bin/TCPStoreTest 2025-09-07T07:46:41.7895438Z inflating: build/bin/test_nativert 2025-09-07T07:46:41.7946572Z inflating: build/bin/HashStoreTest 2025-09-07T07:46:41.7948663Z inflating: build/bin/example_allreduce 2025-09-07T07:46:41.8010368Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:46:41.8062492Z inflating: build/bin/test_dist_autograd 2025-09-07T07:46:41.8125645Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:46:41.9116701Z inflating: build/bin/test_api 2025-09-07T07:46:41.9117087Z inflating: build/bin/parallel_benchmark 2025-09-07T07:46:41.9415176Z inflating: build/bin/test_lazy 2025-09-07T07:46:41.9418407Z inflating: build/bin/torch_shm_manager 2025-09-07T07:46:41.9418682Z creating: .additional_ci_files/ 2025-09-07T07:46:41.9494819Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:46:41.9786579Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:46:41.9817974Z ##[group]Run rm artifacts.zip 2025-09-07T07:46:41.9818186Z rm artifacts.zip 2025-09-07T07:46:41.9822611Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:41.9822855Z env: 2025-09-07T07:46:41.9823009Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:41.9823184Z ##[endgroup] 2025-09-07T07:46:42.0823866Z ##[group]Run df -H 2025-09-07T07:46:42.0824042Z df -H 2025-09-07T07:46:42.0827489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:42.0827731Z env: 2025-09-07T07:46:42.0827894Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.0828067Z ##[endgroup] 2025-09-07T07:46:42.0859277Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:46:42.0859562Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:46:42.0859800Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:46:42.0860012Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:46:42.0860208Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:46:42.0860413Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:46:42.0860717Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:46:42.0882332Z Prepare all required actions 2025-09-07T07:46:42.0882779Z Getting action download info 2025-09-07T07:46:42.2163701Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:46:42.2163925Z with: 2025-09-07T07:46:42.2164068Z env: 2025-09-07T07:46:42.2164212Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.2164377Z ##[endgroup] 2025-09-07T07:46:42.2403048Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:42.2403262Z with: 2025-09-07T07:46:42.2403398Z name: td_results 2025-09-07T07:46:42.2403562Z s3-bucket: gha-artifacts 2025-09-07T07:46:42.2403736Z region: us-east-1 2025-09-07T07:46:42.2403889Z env: 2025-09-07T07:46:42.2404029Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.2404193Z ##[endgroup] 2025-09-07T07:46:42.5567734Z (node:57462) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:42.5568017Z 2025-09-07T07:46:42.5568222Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:42.5568784Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:42.5569110Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:42.6387018Z Found 0 objects with prefix pytorch/pytorch/17525285611/td_results/ 2025-09-07T07:46:42.6389184Z Artifact download has finished successfully 2025-09-07T07:46:42.6570177Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:46:42.6570426Z mkdir -p .additional_ci_files 2025-09-07T07:46:42.6570690Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:46:42.6575498Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:42.6575729Z env: 2025-09-07T07:46:42.6575884Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.6576055Z ##[endgroup] 2025-09-07T07:46:42.6616746Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:46:42.6787146Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:46:42.6787388Z .github/scripts/parse_ref.py 2025-09-07T07:46:42.6791096Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:42.6791280Z env: 2025-09-07T07:46:42.6791430Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.6791595Z ##[endgroup] 2025-09-07T07:46:42.7272311Z Setting output branch=main 2025-09-07T07:46:42.7352841Z Prepare all required actions 2025-09-07T07:46:42.7353109Z Getting action download info 2025-09-07T07:46:42.8747270Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:46:42.8747491Z with: 2025-09-07T07:46:42.8747806Z github-token: *** 2025-09-07T07:46:42.8749916Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:42.8752307Z job-name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:42.8752639Z env: 2025-09-07T07:46:42.8752797Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.8752970Z ##[endgroup] 2025-09-07T07:46:42.9501073Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:46:42.9501275Z with: 2025-09-07T07:46:42.9501427Z shell: bash 2025-09-07T07:46:42.9501588Z timeout_minutes: 10 2025-09-07T07:46:42.9501746Z max_attempts: 5 2025-09-07T07:46:42.9501903Z retry_wait_seconds: 30 2025-09-07T07:46:42.9502350Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:42.9502792Z polling_interval_seconds: 1 2025-09-07T07:46:42.9502972Z warning_on_retry: true 2025-09-07T07:46:42.9503141Z continue_on_error: false 2025-09-07T07:46:42.9503304Z env: 2025-09-07T07:46:42.9503437Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:42.9503733Z GITHUB_TOKEN: *** 2025-09-07T07:46:42.9503886Z ##[endgroup] 2025-09-07T07:46:43.1107892Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:43.2719448Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:43.3602484Z Collecting requests==2.27.1 2025-09-07T07:46:43.3891101Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:46:43.5558993Z Collecting pyyaml==6.0.2 2025-09-07T07:46:43.5642531Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:46:43.6698660Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:46:43.9391072Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:46:43.9471698Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:46:43.9925875Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:46:44.0666222Z Collecting certifi>=2017.4.17 2025-09-07T07:46:44.0747595Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:46:44.1871098Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:46:44.6254267Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:46:45.0051962Z Command completed after 1 attempt(s). 2025-09-07T07:46:45.0117924Z ##[group]Run set -x 2025-09-07T07:46:45.0118110Z set -x 2025-09-07T07:46:45.0118266Z  2025-09-07T07:46:45.0118500Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:45.0118789Z # in runner workspace 2025-09-07T07:46:45.0119037Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:46:45.0123154Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:45.0123381Z env: 2025-09-07T07:46:45.0123525Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.0123699Z ##[endgroup] 2025-09-07T07:46:45.0140552Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:46:45.0270762Z Setting output branch=main 2025-09-07T07:46:45.0334267Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:45.0334549Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:45.0334765Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:46:45.0334946Z  2025-09-07T07:46:45.0335190Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:45.0335474Z # in runner workspace 2025-09-07T07:46:45.0335749Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:46:45.0336030Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:46:45.0336235Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:46:45.0338362Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" \ 2025-09-07T07:46:45.0340765Z  --selected-test-configs "" \ 2025-09-07T07:46:45.0340988Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:46:45.0341200Z  --tag "${TAG}" \ 2025-09-07T07:46:45.0341390Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:46:45.0341596Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:46:45.0341799Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:46:45.0345878Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:45.0346116Z env: 2025-09-07T07:46:45.0346274Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.0346657Z GITHUB_TOKEN: *** 2025-09-07T07:46:45.0346976Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:45.0347305Z PR_NUMBER: 2025-09-07T07:46:45.0347463Z TAG: 2025-09-07T07:46:45.0347611Z EVENT_NAME: schedule 2025-09-07T07:46:45.0347777Z SCHEDULE: 0 7 * * * 2025-09-07T07:46:45.0347932Z HEAD_BRANCH: main 2025-09-07T07:46:45.0348090Z ##[endgroup] 2025-09-07T07:46:45.0365589Z Workflow: inductor-perf-nightly-x86 2025-09-07T07:46:45.0365943Z Job name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:45.2362830Z Setting output keep-going=True 2025-09-07T07:46:45.2363081Z Setting output ci-verbose-test-logs=False 2025-09-07T07:46:45.2363390Z Setting output ci-test-showlocals=False 2025-09-07T07:46:45.2363977Z Setting output ci-no-test-timeout=False 2025-09-07T07:46:45.2364271Z Setting output ci-no-td=False 2025-09-07T07:46:45.2364532Z Setting output ci-td-distributed=False 2025-09-07T07:46:45.2364778Z Setting output is-unstable=False 2025-09-07T07:46:45.2365019Z Setting output reenabled-issues= 2025-09-07T07:46:45.2367368Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:45.2369812Z Setting output is-test-matrix-empty=False 2025-09-07T07:46:45.2478105Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:46:45.2478343Z echo "Filtered matrix:" 2025-09-07T07:46:45.2480473Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" 2025-09-07T07:46:45.2482849Z  2025-09-07T07:46:45.2482994Z echo 2025-09-07T07:46:45.2483184Z echo "Is the current job unstable? False" 2025-09-07T07:46:45.2483403Z  2025-09-07T07:46:45.2483539Z echo 2025-09-07T07:46:45.2483722Z echo "Is keep-going label set? True" 2025-09-07T07:46:45.2483920Z  2025-09-07T07:46:45.2484056Z echo 2025-09-07T07:46:45.2484262Z echo "Reenabled issues? " 2025-09-07T07:46:45.2488093Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:45.2488319Z env: 2025-09-07T07:46:45.2488468Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.2488634Z ##[endgroup] 2025-09-07T07:46:45.2505045Z Filtered matrix: 2025-09-07T07:46:45.2507505Z {include: [{config: inductor_huggingface_perf_cpu_x86, shard: 1, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 2, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 3, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 1, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 2, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 3, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 4, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 5, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 1, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 2, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 3, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 4, num_shards: 4, runner: linux.24xl.spr-metal}]} 2025-09-07T07:46:45.2509744Z 2025-09-07T07:46:45.2509838Z Is the current job unstable? False 2025-09-07T07:46:45.2509981Z 2025-09-07T07:46:45.2510059Z Is keep-going label set? True 2025-09-07T07:46:45.2510189Z 2025-09-07T07:46:45.2510256Z Reenabled issues? 2025-09-07T07:46:45.2568939Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:45.2569263Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:45.2573126Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:45.2573359Z env: 2025-09-07T07:46:45.2573511Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.2573686Z JOB_TIMEOUT: 720 2025-09-07T07:46:45.2573837Z ##[endgroup] 2025-09-07T07:46:45.2743689Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:45.2744009Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:45.2744277Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:45.2747717Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:45.2747945Z env: 2025-09-07T07:46:45.2748101Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.2748277Z ##[endgroup] 2025-09-07T07:46:45.2905080Z ##[group]Run set -x 2025-09-07T07:46:45.2905414Z set -x 2025-09-07T07:46:45.2905566Z  2025-09-07T07:46:45.2905740Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:46:45.2905997Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:46:45.2906246Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:46:45.2906467Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:46:45.2906662Z else 2025-09-07T07:46:45.2906843Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:45.2907039Z fi 2025-09-07T07:46:45.2907177Z  2025-09-07T07:46:45.2907359Z # Leaving 1GB for the runner and other things 2025-09-07T07:46:45.2907706Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:46:45.2908232Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:46:45.2908639Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:46:45.2908967Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:46:45.2909218Z  2025-09-07T07:46:45.2909403Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:45.2909615Z  SHM_OPTS= 2025-09-07T07:46:45.2909789Z  JENKINS_USER= 2025-09-07T07:46:45.2910018Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:46:45.2910307Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:46:45.2910554Z  # when job is cancelled 2025-09-07T07:46:45.2910750Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:46:45.2910941Z else 2025-09-07T07:46:45.2911132Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:46:45.2911349Z  JENKINS_USER="--user jenkins" 2025-09-07T07:46:45.2911547Z  DOCKER_SHELL_CMD= 2025-09-07T07:46:45.2911728Z fi 2025-09-07T07:46:45.2911869Z  2025-09-07T07:46:45.2912083Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:46:45.2912391Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:46:45.2912744Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:46:45.2913055Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:46:45.2913270Z container_name=$(docker run \ 2025-09-07T07:46:45.2913471Z  ${GPU_FLAG:-} \ 2025-09-07T07:46:45.2913665Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:46:45.2913890Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:46:45.2914086Z  -e PR_NUMBER \ 2025-09-07T07:46:45.2914266Z  -e GITHUB_ACTIONS \ 2025-09-07T07:46:45.2914449Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:46:45.2914643Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:46:45.2914837Z  -e GITHUB_JOB \ 2025-09-07T07:46:45.2915009Z  -e GITHUB_RUN_ID \ 2025-09-07T07:46:45.2915183Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:46:45.2915374Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:46:45.2915565Z  -e JOB_ID \ 2025-09-07T07:46:45.2915734Z  -e JOB_NAME \ 2025-09-07T07:46:45.2915900Z  -e BASE_SHA \ 2025-09-07T07:46:45.2916067Z  -e BRANCH \ 2025-09-07T07:46:45.2916229Z  -e SHA1 \ 2025-09-07T07:46:45.2916397Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:46:45.2916579Z  -e IN_WHEEL_TEST \ 2025-09-07T07:46:45.2916755Z  -e SHARD_NUMBER \ 2025-09-07T07:46:45.2916934Z  -e TEST_CONFIG \ 2025-09-07T07:46:45.2917114Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:46:45.2917302Z  -e REENABLED_ISSUES \ 2025-09-07T07:46:45.2917492Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:46:45.2917761Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:46:45.2917985Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:46:45.2918167Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:46:45.2918337Z  -e NO_TD \ 2025-09-07T07:46:45.2918511Z  -e TD_DISTRIBUTED \ 2025-09-07T07:46:45.2918696Z  -e PR_LABELS \ 2025-09-07T07:46:45.2918898Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:46:45.2919103Z  -e SCCACHE_BUCKET \ 2025-09-07T07:46:45.2919290Z  -e SCCACHE_REGION \ 2025-09-07T07:46:45.2919473Z  -e XLA_CUDA \ 2025-09-07T07:46:45.2919666Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:46:45.2919888Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:46:45.2920121Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:46:45.2920349Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:46:45.2920567Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:46:45.2920771Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:46:45.2920992Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:46:45.2921192Z  -e DASHBOARD_TAG \ 2025-09-07T07:46:45.2921378Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:46:45.2921606Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:46:45.2921855Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:46:45.2922110Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:46:45.2922352Z  --security-opt seccomp=unconfined \ 2025-09-07T07:46:45.2922562Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:46:45.2922747Z  --ipc=host \ 2025-09-07T07:46:45.2922923Z  ${SHM_OPTS} \ 2025-09-07T07:46:45.2923089Z  --tty \ 2025-09-07T07:46:45.2923249Z  --detach \ 2025-09-07T07:46:45.2923417Z  --name="${container_name}" \ 2025-09-07T07:46:45.2923615Z  ${JENKINS_USER} \ 2025-09-07T07:46:45.2923839Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:46:45.2924086Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:46:45.2924279Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:46:45.2924457Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:46:45.2924630Z ) 2025-09-07T07:46:45.2924825Z # Propagate download.pytorch.org IP to container 2025-09-07T07:46:45.2925211Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:46:45.2925615Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:46:45.2925867Z  2025-09-07T07:46:45.2926043Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:45.2926385Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:46:45.2926689Z fi 2025-09-07T07:46:45.2926830Z  2025-09-07T07:46:45.2927126Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:46:45.2930895Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:45.2931084Z env: 2025-09-07T07:46:45.2931233Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:45.2931461Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:45.2931716Z PR_NUMBER: 2025-09-07T07:46:45.2931889Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:46:45.2932112Z GITHUB_WORKFLOW: inductor-perf-nightly-x86 2025-09-07T07:46:45.2932327Z GITHUB_JOB: test 2025-09-07T07:46:45.2932498Z GITHUB_RUN_ID: 17525285611 2025-09-07T07:46:45.2932680Z GITHUB_RUN_NUMBER: 525 2025-09-07T07:46:45.2932848Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:46:45.2933025Z JOB_ID: 49775585814 2025-09-07T07:46:45.2933349Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:46:45.2933682Z BRANCH: main 2025-09-07T07:46:45.2933947Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:45.2934250Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:45.2934483Z TEST_CONFIG: inductor_timm_perf_cpu_x86 2025-09-07T07:46:45.2934687Z SHARD_NUMBER: 5 2025-09-07T07:46:45.2934844Z NUM_TEST_SHARDS: 5 2025-09-07T07:46:45.2935015Z REENABLED_ISSUES: 2025-09-07T07:46:45.2935187Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:46:45.2935373Z VERBOSE_TEST_LOGS: False 2025-09-07T07:46:45.2935543Z TEST_SHOWLOCALS: False 2025-09-07T07:46:45.2935719Z NO_TEST_TIMEOUT: False 2025-09-07T07:46:45.2935888Z NO_TD: False 2025-09-07T07:46:45.2936054Z TD_DISTRIBUTED: False 2025-09-07T07:46:45.2936245Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:46:45.2936466Z SCCACHE_REGION: us-east-1 2025-09-07T07:46:45.2936636Z SHM_SIZE: 1g 2025-09-07T07:46:45.2937114Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:45.2937606Z XLA_CUDA: 2025-09-07T07:46:45.2937827Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:45.2938100Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:46:45.2938308Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:46:45.2938738Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:45.2939295Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:46:45.2939549Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:46:45.2939792Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:46:45.2940090Z ARTIFACTS_FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T07:46:45.2940384Z ##[endgroup] 2025-09-07T07:46:45.2956892Z + [[ inductor_timm_perf_cpu_x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:46:45.2957184Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T07:46:45.2957439Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:45.2959470Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:46:45.2974411Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:46:45.2974875Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:46:45.2975162Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:46:45.2975405Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:46:45.2975587Z + JENKINS_USER='--user jenkins' 2025-09-07T07:46:45.2975773Z + DOCKER_SHELL_CMD= 2025-09-07T07:46:45.2981973Z +++ nproc --ignore=2 2025-09-07T07:46:45.3341484Z ++ 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=94 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=187g --memory-swap=190g --env-file=/tmp/github_env_17525285611 --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-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:49:22.5657535Z + container_name=b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T07:49:22.5660588Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:49:22.5663306Z + docker exec -i b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:49:22.6560855Z + echo DOCKER_CONTAINER_ID=b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T07:49:22.6561599Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:49:22.6564659Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:22.6566357Z + docker exec -t b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:49:22.9529746Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:49:23.1507744Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.19.1) 2025-09-07T07:49:23.1508647Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (4.15.0) 2025-09-07T07:49:23.1509461Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (1.13.3) 2025-09-07T07:49:23.1510270Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2.8.8) 2025-09-07T07:49:23.1511845Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.1.6) 2025-09-07T07:49:23.1514867Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (2025.3.0) 2025-09-07T07:49:23.1524710Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.3.0) 2025-09-07T07:49:23.1788656Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.22.4) 2025-09-07T07:49:23.1799593Z 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+git93fb23d->torch==2.9.0a0+git93fb23d) (1.3.0) 2025-09-07T07:49:23.1827103Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git93fb23d->torch==2.9.0a0+git93fb23d) (3.0.2) 2025-09-07T07:49:23.8741067Z Installing collected packages: torch 2025-09-07T07:49:30.3180598Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-09-07T07:49:30.3181218Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:49:30.3181519Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:49:30.3181848Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:49:30.3182289Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:49:30.3182741Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:49:30.3183060Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:49:30.4039346Z + export TERM=vt100 2025-09-07T07:49:30.4039556Z + TERM=vt100 2025-09-07T07:49:30.4039797Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:30.4042025Z + source .ci/pytorch/common.sh 2025-09-07T07:49:30.4044125Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:49:30.4049067Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:49:30.4049835Z +++ declare -f -t trap_add 2025-09-07T07:49:30.4052928Z ++ set -ex -o pipefail 2025-09-07T07:49:30.4054284Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:30.4054628Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:49:30.4056000Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:30.4061276Z + source .ci/pytorch/common-build.sh 2025-09-07T07:49:30.4062213Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T07:49:30.4069407Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:49:30.4075071Z +++ cd .ci/pytorch 2025-09-07T07:49:30.4075383Z +++ pwd -P 2025-09-07T07:49:30.4076889Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:49:30.4077205Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T07:49:30.4077437Z ++ which sccache 2025-09-07T07:49:30.4104654Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:49:30.4104878Z ++ sccache --stop-server 2025-09-07T07:49:30.4126517Z ++ true 2025-09-07T07:49:30.4126682Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:49:30.4135056Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:49:30.4135295Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:49:30.4135495Z ++ shift 2025-09-07T07:49:30.4135661Z ++ for trap_add_name in "$@" 2025-09-07T07:49:30.4139665Z ++++ trap -p EXIT 2025-09-07T07:49:30.4141112Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:49:30.4141293Z ++++ extract_trap_cmd 2025-09-07T07:49:30.4141457Z ++++ printf '%s\n' '' 2025-09-07T07:49:30.4141642Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:49:30.4142829Z ++ trap -- ' 2025-09-07T07:49:30.4142987Z sccache_epilogue' EXIT 2025-09-07T07:49:30.4143157Z ++ [[ -n 1 ]] 2025-09-07T07:49:30.4143425Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:49:30.4143791Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:49:30.4144067Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:30.4144260Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:30.4144495Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:30.4144780Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:30.4145069Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:49:30.4145290Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:49:30.4145473Z ++ sccache --zero-stats 2025-09-07T07:49:30.5696065Z Statistics zeroed. 2025-09-07T07:49:30.5701747Z ++ which ccache 2025-09-07T07:49:30.5720286Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T07:49:30.5720570Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T07:49:30.5720843Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:49:30.5723072Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:49:30.5732191Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:49:30.5732446Z + trap_add cleanup_workspace EXIT 2025-09-07T07:49:30.5732680Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:49:30.5732884Z + shift 2025-09-07T07:49:30.5733070Z + for trap_add_name in "$@" 2025-09-07T07:49:30.5738199Z +++ trap -p EXIT 2025-09-07T07:49:30.5739807Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:49:30.5740056Z sccache_epilogue'\'' EXIT' 2025-09-07T07:49:30.5740273Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:49:30.5740494Z sccache_epilogue' EXIT 2025-09-07T07:49:30.5740687Z +++ printf '%s\n' ' 2025-09-07T07:49:30.5740866Z sccache_epilogue' 2025-09-07T07:49:30.5741069Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:49:30.5741386Z + trap -- ' 2025-09-07T07:49:30.5741559Z sccache_epilogue 2025-09-07T07:49:30.5741747Z cleanup_workspace' EXIT 2025-09-07T07:49:30.5741974Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:49:30.9812351Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:49:30.9820158Z + echo 'Environment variables:' 2025-09-07T07:49:30.9820360Z Environment variables: 2025-09-07T07:49:30.9820537Z + env 2025-09-07T07:49:30.9826660Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:30.9826938Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:30.9827226Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:30.9827938Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:30.9828254Z HOSTNAME=b80a39b43085 2025-09-07T07:49:30.9828603Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:30.9828976Z GITHUB_ACTION=__run_2 2025-09-07T07:49:30.9829162Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:30.9829361Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:30.9829531Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:49:30.9829742Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:30.9829952Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:30.9830156Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:30.9830435Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:30.9830635Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:30.9830892Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:30.9831091Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:30.9831299Z XLA_CUDA= 2025-09-07T07:49:30.9831462Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:30.9831726Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:30.9834464Z *** 2025-09-07T07:49:30.9834625Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:30.9834804Z GITHUB_ACTIONS=true 2025-09-07T07:49:30.9835006Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:30.9835250Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:30.9835483Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:30.9835857Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:30.9836204Z UCC_HOME=/usr 2025-09-07T07:49:30.9836364Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:30.9836561Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:30.9836737Z SHARD_NUMBER=5 2025-09-07T07:49:30.9836903Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:30.9837072Z HOME=/var/lib/jenkins 2025-09-07T07:49:30.9837263Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:30.9837475Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:30.9837657Z UCX_COMMIT= 2025-09-07T07:49:30.9837807Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:30.9837968Z NUM_TEST_SHARDS=5 2025-09-07T07:49:30.9838119Z UCX_HOME=/usr 2025-09-07T07:49:30.9838449Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:30.9838969Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:49:30.9839469Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:30.9839924Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:30.9840216Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:30.9840640Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:30.9841080Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:30.9841254Z INSTALLED_OPENBLAS= 2025-09-07T07:49:30.9841616Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:30.9842007Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:30.9842178Z PR_NUMBER= 2025-09-07T07:49:30.9842323Z DESIRED_CUDA= 2025-09-07T07:49:30.9842474Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:30.9842641Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:30.9842853Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:30.9843071Z TERM=vt100 2025-09-07T07:49:30.9843215Z INSTALLED_VISION=yes 2025-09-07T07:49:30.9843368Z BRANCH=main 2025-09-07T07:49:30.9843522Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:30.9843722Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:30.9843906Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:30.9844214Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:30.9844543Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:30.9844739Z UCC_COMMIT= 2025-09-07T07:49:30.9844974Z REENABLED_ISSUES= 2025-09-07T07:49:30.9845207Z DOCS=yes 2025-09-07T07:49:30.9845345Z SHLVL=1 2025-09-07T07:49:30.9845489Z MAX_JOBS=94 2025-09-07T07:49:30.9845644Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:30.9845870Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:30.9846101Z GITHUB_REF_NAME=main 2025-09-07T07:49:30.9846347Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:30.9846607Z GITHUB_JOB=test 2025-09-07T07:49:30.9846765Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:30.9846924Z TD_DISTRIBUTED=False 2025-09-07T07:49:30.9847103Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:30.9847303Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:30.9847481Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:30.9847647Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:30.9848102Z 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 2025-09-07T07:49:30.9848547Z GITHUB_BASE_REF= 2025-09-07T07:49:30.9848710Z INSTALLED_ACL= 2025-09-07T07:49:30.9848977Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T07:49:30.9849279Z CI=true 2025-09-07T07:49:30.9849431Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:30.9849658Z RUST_LOG=sccache::server=error 2025-09-07T07:49:30.9849831Z JOB_ID=49775585814 2025-09-07T07:49:30.9849983Z GITHUB_HEAD_REF= 2025-09-07T07:49:30.9850138Z GITHUB_ACTION_REF= 2025-09-07T07:49:30.9850328Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:30.9850542Z TEST_SHOWLOCALS=False 2025-09-07T07:49:30.9850731Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:30.9850947Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:30.9851310Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:30.9851664Z NO_TD=False 2025-09-07T07:49:30.9851824Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:30.9852024Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:30.9852224Z _=/usr/bin/env 2025-09-07T07:49:30.9852426Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:49:31.0077286Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:49:31.0081388Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:49:31.0082740Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:49:31.0083181Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:49:31.0083439Z + BUILD_DIR=build 2025-09-07T07:49:31.0083618Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:49:31.0083828Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:49:31.0084002Z + SHARD_NUMBER=5 2025-09-07T07:49:31.0084153Z + NUM_TEST_SHARDS=5 2025-09-07T07:49:31.0084331Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:31.0084534Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:31.0084737Z + export VALGRIND=ON 2025-09-07T07:49:31.0084899Z + VALGRIND=ON 2025-09-07T07:49:31.0085088Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T07:49:31.0085335Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:31.0085544Z + detect_cuda_arch 2025-09-07T07:49:31.0085723Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:31.0085957Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T07:49:31.0086159Z + [[ 0 == \1 ]] 2025-09-07T07:49:31.0086309Z + [[ True == \1 ]] 2025-09-07T07:49:31.0086480Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T07:49:31.0086703Z ++ realpath build/custom_test_artifacts 2025-09-07T07:49:31.0087038Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:49:31.0087328Z + [[ -n '' ]] 2025-09-07T07:49:31.0087532Z + echo 'Environment variables' 2025-09-07T07:49:31.0087741Z Environment variables 2025-09-07T07:49:31.0087932Z + env 2025-09-07T07:49:31.0104888Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:31.0105216Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:31.0105474Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:31.0105820Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:31.0105998Z HOSTNAME=b80a39b43085 2025-09-07T07:49:31.0106348Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:31.0106713Z GITHUB_ACTION=__run_2 2025-09-07T07:49:31.0106892Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:31.0107075Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:31.0107257Z TEST_CONFIG=inductor_timm_perf_cpu_x86 2025-09-07T07:49:31.0107466Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:31.0107675Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:31.0107864Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:31.0108108Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:31.0108308Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:31.0108509Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:31.0108694Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:31.0108904Z XLA_CUDA= 2025-09-07T07:49:31.0109062Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:31.0109350Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:31.0109561Z *** 2025-09-07T07:49:31.0109699Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:31.0109876Z GITHUB_ACTIONS=true 2025-09-07T07:49:31.0110073Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:31.0110318Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:31.0110540Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:31.0110912Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:31.0111247Z UCC_HOME=/usr 2025-09-07T07:49:31.0111403Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:31.0111572Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:31.0111743Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:31.0111911Z SHARD_NUMBER=5 2025-09-07T07:49:31.0112076Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:31.0112242Z HOME=/var/lib/jenkins 2025-09-07T07:49:31.0112432Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:31.0112646Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:31.0112838Z UCX_COMMIT= 2025-09-07T07:49:31.0112979Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:31.0113139Z NUM_TEST_SHARDS=5 2025-09-07T07:49:31.0113289Z UCX_HOME=/usr 2025-09-07T07:49:31.0113626Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:31.0114137Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T07:49:31.0114635Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:31.0115094Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:31.0115388Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:31.0115819Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:31.0116246Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:31.0116422Z INSTALLED_OPENBLAS= 2025-09-07T07:49:31.0116781Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:31.0117173Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:31.0117345Z PR_NUMBER= 2025-09-07T07:49:31.0117497Z DESIRED_CUDA= 2025-09-07T07:49:31.0117651Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:31.0117812Z VALGRIND=ON 2025-09-07T07:49:31.0117960Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:31.0118171Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:31.0118387Z TERM=vt100 2025-09-07T07:49:31.0118535Z INSTALLED_VISION=yes 2025-09-07T07:49:31.0118687Z BRANCH=main 2025-09-07T07:49:31.0118843Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:31.0119023Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:31.0119250Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:31.0119593Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:31.0119931Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:31.0120127Z UCC_COMMIT= 2025-09-07T07:49:31.0120276Z REENABLED_ISSUES= 2025-09-07T07:49:31.0120424Z DOCS=yes 2025-09-07T07:49:31.0120573Z SHLVL=1 2025-09-07T07:49:31.0120718Z MAX_JOBS=94 2025-09-07T07:49:31.0120870Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:31.0121086Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:31.0121322Z GITHUB_REF_NAME=main 2025-09-07T07:49:31.0121568Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:31.0121829Z GITHUB_JOB=test 2025-09-07T07:49:31.0121980Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:31.0122146Z TD_DISTRIBUTED=False 2025-09-07T07:49:31.0122323Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:31.0122517Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:31.0122690Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:31.0122870Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:31.0123335Z 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 2025-09-07T07:49:31.0123787Z GITHUB_BASE_REF= 2025-09-07T07:49:31.0123948Z INSTALLED_ACL= 2025-09-07T07:49:31.0124214Z ARTIFACTS_FILE_SUFFIX=test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T07:49:31.0124515Z CI=true 2025-09-07T07:49:31.0124672Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:31.0124889Z RUST_LOG=sccache::server=error 2025-09-07T07:49:31.0125079Z JOB_ID=49775585814 2025-09-07T07:49:31.0125239Z GITHUB_HEAD_REF= 2025-09-07T07:49:31.0125400Z GITHUB_ACTION_REF= 2025-09-07T07:49:31.0125587Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:31.0125810Z TEST_SHOWLOCALS=False 2025-09-07T07:49:31.0125999Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:31.0126218Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:31.0126586Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_681c6f49-eeb3-449d-88d1-bff9987d18e5 2025-09-07T07:49:31.0126944Z NO_TD=False 2025-09-07T07:49:31.0127100Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:31.0127300Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:31.0127496Z _=/usr/bin/env 2025-09-07T07:49:31.0127649Z + echo 'Testing pytorch' 2025-09-07T07:49:31.0127821Z Testing pytorch 2025-09-07T07:49:31.0127991Z + export LANG=C.UTF-8 2025-09-07T07:49:31.0128147Z + LANG=C.UTF-8 2025-09-07T07:49:31.0128300Z + PR_NUMBER= 2025-09-07T07:49:31.0128482Z + [[ inductor_timm_perf_cpu_x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:49:31.0128738Z + [[ inductor_timm_perf_cpu_x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:49:31.0128976Z + [[ inductor_timm_perf_cpu_x86 == \s\l\o\w ]] 2025-09-07T07:49:31.0129220Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T07:49:31.0129480Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:31.0129716Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:31.0129946Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:31.0130165Z + [[ inductor_timm_perf_cpu_x86 == *crossref* ]] 2025-09-07T07:49:31.0130389Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:31.0130616Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:31.0130909Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:31.0131130Z + pip_install ninja==1.10.2 2025-09-07T07:49:31.0131374Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:31.0131673Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:49:31.3644017Z Collecting ninja==1.10.2 2025-09-07T07:49:31.3724263Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:49:31.3816464Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:49:32.0585607Z Installing collected packages: ninja 2025-09-07T07:49:32.0586809Z Attempting uninstall: ninja 2025-09-07T07:49:32.0587061Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:49:32.0602567Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:49:32.0643244Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:49:32.1063365Z Successfully installed ninja-1.10.2 2025-09-07T07:49:32.1859362Z + 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 2025-09-07T07:49:32.1860386Z + 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 2025-09-07T07:49:32.1860997Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:32.1861265Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T07:49:32.1861519Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T07:49:32.1861778Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:32.1862113Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T07:49:32.1862495Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T07:49:32.1862757Z + cd test 2025-09-07T07:49:32.1862988Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:49:32.4559157Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:32.4560703Z import pynvml # type: ignore[import] 2025-09-07T07:49:33.1912071Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:49:33.1912513Z + [[ inductor_timm_perf_cpu_x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:49:33.1912885Z + [[ inductor_timm_perf_cpu_x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:49:33.1914226Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:49:33.1914528Z + [[ inductor_timm_perf_cpu_x86 == *pr_time_benchmarks* ]] 2025-09-07T07:49:33.1914827Z + [[ inductor_timm_perf_cpu_x86 == *dynamo_eager* ]] 2025-09-07T07:49:33.1915102Z + [[ inductor_timm_perf_cpu_x86 == *aot_eager* ]] 2025-09-07T07:49:33.1915371Z + [[ inductor_timm_perf_cpu_x86 == *aot_inductor* ]] 2025-09-07T07:49:33.1915672Z + [[ inductor_timm_perf_cpu_x86 == *max_autotune_inductor* ]] 2025-09-07T07:49:33.1915976Z + [[ inductor_timm_perf_cpu_x86 == *inductor* ]] 2025-09-07T07:49:33.1916231Z + [[ inductor_timm_perf_cpu_x86 != *perf* ]] 2025-09-07T07:49:33.1916483Z + [[ inductor_timm_perf_cpu_x86 == *dynamic* ]] 2025-09-07T07:49:33.1916726Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:33.1916997Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:49:33.1937876Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:33.1938165Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T07:49:33.1940760Z + cd test 2025-09-07T07:49:33.1941463Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:49:33.4739868Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:33.4741293Z import pynvml # type: ignore[import] 2025-09-07T07:49:34.0486752Z PyTorch built with: 2025-09-07T07:49:34.0487008Z - GCC 11.4 2025-09-07T07:49:34.0487215Z - C++ Version: 201703 2025-09-07T07:49:34.0487623Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:34.0488414Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:34.0488866Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:34.0489118Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:49:34.0489376Z - NNPACK is enabled 2025-09-07T07:49:34.0489568Z - CPU capability usage: AVX512 2025-09-07T07:49:34.0492109Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=93fb23d6fae7c4e82c4239a1033e522088742634, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_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, 2025-09-07T07:49:34.0494679Z 2025-09-07T07:49:34.2115050Z + cd test 2025-09-07T07:49:34.2115402Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:49:34.4854800Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:34.4856247Z import pynvml # type: ignore[import] 2025-09-07T07:49:35.0586469Z ATen/Parallel: 2025-09-07T07:49:35.0586788Z at::get_num_threads() : 48 2025-09-07T07:49:35.0587022Z at::get_num_interop_threads() : 48 2025-09-07T07:49:35.0587252Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:35.0587462Z omp_get_max_threads() : 48 2025-09-07T07:49:35.0587840Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:35.0588174Z mkl_get_max_threads() : 48 2025-09-07T07:49:35.0588420Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:35.0588692Z std::thread::hardware_concurrency() : 96 2025-09-07T07:49:35.0588894Z Environment variables: 2025-09-07T07:49:35.0589067Z OMP_NUM_THREADS : [not set] 2025-09-07T07:49:35.0589239Z MKL_NUM_THREADS : [not set] 2025-09-07T07:49:35.0589422Z ATen parallel backend: OpenMP 2025-09-07T07:49:35.0589543Z 2025-09-07T07:49:35.2195125Z + [[ inductor_timm_perf_cpu_x86 == *numpy_2* ]] 2025-09-07T07:49:35.2195526Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:35.2195835Z + [[ inductor_timm_perf_cpu_x86 == *backward* ]] 2025-09-07T07:49:35.2196098Z + [[ inductor_timm_perf_cpu_x86 == *xla* ]] 2025-09-07T07:49:35.2196343Z + [[ inductor_timm_perf_cpu_x86 == *vllm* ]] 2025-09-07T07:49:35.2196608Z + [[ inductor_timm_perf_cpu_x86 == *executorch* ]] 2025-09-07T07:49:35.2196894Z + [[ inductor_timm_perf_cpu_x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:49:35.2197198Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:35.2197479Z + [[ inductor_timm_perf_cpu_x86 == distributed ]] 2025-09-07T07:49:35.2197760Z + [[ inductor_timm_perf_cpu_x86 == *operator_benchmark* ]] 2025-09-07T07:49:35.2198072Z + [[ inductor_timm_perf_cpu_x86 == *inductor_distributed* ]] 2025-09-07T07:49:35.2198385Z + [[ inductor_timm_perf_cpu_x86 == *inductor-halide* ]] 2025-09-07T07:49:35.2198692Z + [[ inductor_timm_perf_cpu_x86 == *inductor-triton-cpu* ]] 2025-09-07T07:49:35.2201119Z + [[ inductor_timm_perf_cpu_x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:49:35.2201625Z + [[ inductor_timm_perf_cpu_x86 == *huggingface* ]] 2025-09-07T07:49:35.2201883Z + [[ inductor_timm_perf_cpu_x86 == *timm* ]] 2025-09-07T07:49:35.2202119Z + install_torchvision 2025-09-07T07:49:35.2202310Z + local orig_preload 2025-09-07T07:49:35.2202498Z + local commit 2025-09-07T07:49:35.2202701Z ++ get_pinned_commit vision 2025-09-07T07:49:35.2202923Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:49:35.2648330Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:35.2648627Z + orig_preload= 2025-09-07T07:49:35.2648797Z + '[' -n '' ']' 2025-09-07T07:49:35.2648978Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:35.2649415Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:49:35.2649908Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:35.2650247Z + local wheel_dir=dist/vision 2025-09-07T07:49:35.2650434Z + local found_whl=0 2025-09-07T07:49:35.2650604Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:35.2650883Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:35.2651151Z + found_whl=1 2025-09-07T07:49:35.2651291Z + break 2025-09-07T07:49:35.2651426Z + '[' 1 == 0 ']' 2025-09-07T07:49:35.2651578Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:35.2651868Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:35.2652251Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:35.2652513Z + local args 2025-09-07T07:49:35.2652749Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:35.2653042Z + for path in "${args[@]}" 2025-09-07T07:49:35.2653323Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:35.2653705Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:35.2654144Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:35.5216192Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:35.5276049Z Installing collected packages: torchvision 2025-09-07T07:49:36.3331053Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:49:36.3634819Z + '[' -n '' ']' 2025-09-07T07:49:36.3636704Z + id=4 2025-09-07T07:49:36.3636932Z + test_dynamo_benchmark timm_models 4 2025-09-07T07:49:36.3639333Z ++ pwd 2025-09-07T07:49:36.3639667Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:36.3639972Z + local suite=timm_models 2025-09-07T07:49:36.3640164Z + shift 2025-09-07T07:49:36.3640334Z + local shard_id=4 2025-09-07T07:49:36.3640513Z + shift 2025-09-07T07:49:36.3640758Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:36.3641014Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:36.3641245Z + [[ inductor_timm_perf_cpu_x86 == *b200* ]] 2025-09-07T07:49:36.3641503Z + test_single_dynamo_benchmark dashboard timm_models 4 2025-09-07T07:49:36.3641756Z ++ pwd 2025-09-07T07:49:36.3641975Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:36.3642292Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:36.3655998Z + local name=dashboard 2025-09-07T07:49:36.3656163Z + shift 2025-09-07T07:49:36.3656311Z + local suite=timm_models 2025-09-07T07:49:36.3656478Z + shift 2025-09-07T07:49:36.3656654Z + local shard_id=4 2025-09-07T07:49:36.3656814Z + shift 2025-09-07T07:49:36.3656956Z + partition_flags=() 2025-09-07T07:49:36.3657127Z + local partition_flags 2025-09-07T07:49:36.3657294Z + [[ -n 5 ]] 2025-09-07T07:49:36.3657434Z + [[ -n 4 ]] 2025-09-07T07:49:36.3657693Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:49:36.3658222Z + [[ inductor_timm_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:36.3658558Z + [[ inductor_timm_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:36.3658867Z + test_perf_for_dashboard timm_models --device cpu --total-partitions 5 --partition-id 4 2025-09-07T07:49:36.3659160Z ++ pwd 2025-09-07T07:49:36.3659367Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:36.3659644Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:36.3670548Z + local suite=timm_models 2025-09-07T07:49:36.3670714Z + shift 2025-09-07T07:49:36.3670865Z + local backend=inductor 2025-09-07T07:49:36.3671036Z + modes=() 2025-09-07T07:49:36.3671187Z + local modes 2025-09-07T07:49:36.3671653Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *training-true* ]] 2025-09-07T07:49:36.3672417Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *inference-true* ]] 2025-09-07T07:49:36.3672893Z + modes+=(inference) 2025-09-07T07:49:36.3673078Z + targets=('accuracy' 'performance') 2025-09-07T07:49:36.3673273Z + local targets 2025-09-07T07:49:36.3673422Z + local device=cuda 2025-09-07T07:49:36.3673597Z + [[ inductor_timm_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:36.3673819Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86_zen* ]] 2025-09-07T07:49:36.3674050Z + [[ inductor_timm_perf_cpu_x86 == *cpu_x86* ]] 2025-09-07T07:49:36.3674245Z + device=cpu_x86 2025-09-07T07:49:36.3674415Z + test_inductor_set_cpu_affinity 2025-09-07T07:49:36.3674867Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:49:36.3858618Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:49:36.3859005Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:36.3859333Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:36.3859773Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:36.3860271Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:36.3860633Z + [[ inductor_timm_perf_cpu_x86 != *aarch64* ]] 2025-09-07T07:49:36.3863268Z +++ which python 2025-09-07T07:49:36.3879393Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:49:36.4187439Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:49:36.4187877Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:36.4188335Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:36.4188678Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:36.4188912Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:36.4189133Z + export KMP_BLOCKTIME=1 2025-09-07T07:49:36.4189308Z + KMP_BLOCKTIME=1 2025-09-07T07:49:36.4189471Z ++ nproc 2025-09-07T07:49:36.4206657Z + cpus=96 2025-09-07T07:49:36.4213064Z ++ lscpu 2025-09-07T07:49:36.4213730Z ++ grep 'Thread(s) per core:' 2025-09-07T07:49:36.4214980Z ++ awk '{print $4}' 2025-09-07T07:49:36.4467104Z + thread_per_core=2 2025-09-07T07:49:36.4467322Z + cores=48 2025-09-07T07:49:36.4467513Z + [[ inductor_timm_perf_cpu_x86 == *aarch64* ]] 2025-09-07T07:49:36.4467749Z + export OMP_NUM_THREADS=48 2025-09-07T07:49:36.4467935Z + OMP_NUM_THREADS=48 2025-09-07T07:49:36.4468166Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:49:36.4689712Z + start_cpu=0 2025-09-07T07:49:36.4690200Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:49:36.4902226Z + end_cpu=93 2025-09-07T07:49:36.4902542Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:49:36.4902847Z + TASKSET='taskset -c 0-93' 2025-09-07T07:49:36.4903110Z + for mode in "${modes[@]}" 2025-09-07T07:49:36.4903335Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:49:36.4903587Z + [[ cpu_x86 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:49:36.4904021Z + dtype=amp 2025-09-07T07:49:36.4904283Z + for target in "${targets[@]}" 2025-09-07T07:49:36.4904470Z + target_flag=('--accuracy') 2025-09-07T07:49:36.4904691Z + local target_flag 2025-09-07T07:49:36.4904896Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:49:36.4905135Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:49:36.4905401Z + target_flag+=(--no-translation-validation) 2025-09-07T07:49:36.4905903Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T07:49:36.4906373Z + target_flag+=(--freezing) 2025-09-07T07:49:36.4906819Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T07:49:36.4907958Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T07:49:37.1895497Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:37.1896421Z import pynvml # type: ignore[import] 2025-09-07T07:49:40.0899031Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T07:49:40.0899875Z import pynvml # type: ignore[import] 2025-09-07T07:49:42.2630196Z 2025-09-07T07:49:42.5839251Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:49:42.5839482Z 2025-09-07T07:49:42.6969895Z model.safetensors: 0% 0.00/130M [00:00 2025-09-07T08:02:19.2667775Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2667957Z 2025-09-07T08:02:19.2668071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2668451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2668812Z return mod(*inputs) 2025-09-07T08:02:19.2669169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2669576Z x = self.forward_features(x) 2025-09-07T08:02:19.2669925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2670384Z x = self.blocks(x) 2025-09-07T08:02:19.2670821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2671219Z x = self.conv_pw(x) 2025-09-07T08:02:19.2671561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2671960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2672393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2672892Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2673063Z 2025-09-07T08:02:19.2673184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2673550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2673943Z return mod(*inputs) 2025-09-07T08:02:19.2674279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2674661Z x = self.forward_features(x) 2025-09-07T08:02:19.2675039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2675427Z x = self.blocks(x) 2025-09-07T08:02:19.2675780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2676126Z x = self.conv_pw(x) 2025-09-07T08:02:19.2676471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2676878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2677287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2677696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2677866Z 2025-09-07T08:02:19.2677972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2678351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2678735Z return mod(*inputs) 2025-09-07T08:02:19.2679125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2679531Z x = self.forward_features(x) 2025-09-07T08:02:19.2679934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2680290Z x = self.blocks(x) 2025-09-07T08:02:19.2680724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2681075Z x = self.conv_pw(x) 2025-09-07T08:02:19.2681425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2681901Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2682400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2682838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2683037Z 2025-09-07T08:02:19.2683142Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2683416Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2683721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2684186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2684623Z return mod(*inputs) 2025-09-07T08:02:19.2685030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2685458Z x = self.forward_features(x) 2025-09-07T08:02:19.2685923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2686375Z x = self.blocks(x) 2025-09-07T08:02:19.2686812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2687377Z x = self.conv_pw(x) 2025-09-07T08:02:19.2687771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2688210Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2688368Z 2025-09-07T08:02:19.2688497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2688946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2689375Z return mod(*inputs) 2025-09-07T08:02:19.2689779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2690216Z x = self.forward_features(x) 2025-09-07T08:02:19.2690691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2691151Z x = self.blocks(x) 2025-09-07T08:02:19.2691575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2691977Z x = self.conv_dw(x) 2025-09-07T08:02:19.2692318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2692709Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2693105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2693534Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2693931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2694313Z return conv2d_same( 2025-09-07T08:02:19.2694653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2695055Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2695418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2695884Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2696270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2696645Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2696836Z 2025-09-07T08:02:19.2696940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2697331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2697671Z return mod(*inputs) 2025-09-07T08:02:19.2698051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2698483Z x = self.forward_features(x) 2025-09-07T08:02:19.2698861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2699236Z x = self.blocks(x) 2025-09-07T08:02:19.2699576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2724792Z x = self.conv_dw(x) 2025-09-07T08:02:19.2725126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2725609Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2726101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2726566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2727023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2727437Z return conv2d_same( 2025-09-07T08:02:19.2727822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2728288Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2728512Z 2025-09-07T08:02:19.2728618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2729020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2729423Z return mod(*inputs) 2025-09-07T08:02:19.2729808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2730228Z x = self.forward_features(x) 2025-09-07T08:02:19.2730706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2731256Z x = self.blocks(x) 2025-09-07T08:02:19.2731601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2731990Z x = self.conv_dw(x) 2025-09-07T08:02:19.2732322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2732714Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2733109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2733495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2733862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2734198Z return conv2d_same( 2025-09-07T08:02:19.2734526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2734946Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2735127Z 2025-09-07T08:02:19.2735245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2735603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2735938Z return mod(*inputs) 2025-09-07T08:02:19.2736261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2736617Z x = self.forward_features(x) 2025-09-07T08:02:19.2736975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2737333Z x = self.blocks(x) 2025-09-07T08:02:19.2737758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2738114Z x = self.conv_dw(x) 2025-09-07T08:02:19.2738493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2738856Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2739238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2739617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2739986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2740322Z return conv2d_same( 2025-09-07T08:02:19.2740633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2741006Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2741374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2741792Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2742181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2742543Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2742702Z 2025-09-07T08:02:19.2742811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2743174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2743503Z return mod(*inputs) 2025-09-07T08:02:19.2743816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2744167Z x = self.forward_features(x) 2025-09-07T08:02:19.2744528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2744888Z x = self.blocks(x) 2025-09-07T08:02:19.2745217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2745580Z x = self.conv_dw(x) 2025-09-07T08:02:19.2745891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2746267Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2746642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2747010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2747375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2747705Z return conv2d_same( 2025-09-07T08:02:19.2748024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2748432Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2748622Z 2025-09-07T08:02:19.2748728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2749086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2749409Z return mod(*inputs) 2025-09-07T08:02:19.2749730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2750071Z x = self.forward_features(x) 2025-09-07T08:02:19.2750426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2750782Z x = self.blocks(x) 2025-09-07T08:02:19.2751114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2751497Z x = self.conv_dw(x) 2025-09-07T08:02:19.2751800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2752205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2752584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2752957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2753307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2753636Z return conv2d_same( 2025-09-07T08:02:19.2753955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2754350Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2754530Z 2025-09-07T08:02:19.2754644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2754995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2755322Z return mod(*inputs) 2025-09-07T08:02:19.2755638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2755980Z x = self.forward_features(x) 2025-09-07T08:02:19.2756339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2756689Z x = self.blocks(x) 2025-09-07T08:02:19.2757023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2757358Z x = self.conv_dw(x) 2025-09-07T08:02:19.2757663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2758015Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2758381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2758747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2759100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2759420Z return conv2d_same( 2025-09-07T08:02:19.2759723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2760085Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2760433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2760822Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2761190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2761530Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2761690Z 2025-09-07T08:02:19.2761792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2762133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2762450Z return mod(*inputs) 2025-09-07T08:02:19.2762760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2763092Z x = self.forward_features(x) 2025-09-07T08:02:19.2763434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2763774Z x = self.blocks(x) 2025-09-07T08:02:19.2764094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2764431Z x = self.conv_dw(x) 2025-09-07T08:02:19.2764761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2765147Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2765514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2765881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2766242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2766565Z return conv2d_same( 2025-09-07T08:02:19.2766868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2767258Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2767441Z 2025-09-07T08:02:19.2767544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2767897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2768211Z return mod(*inputs) 2025-09-07T08:02:19.2768516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2768852Z x = self.forward_features(x) 2025-09-07T08:02:19.2769199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2769549Z x = self.blocks(x) 2025-09-07T08:02:19.2769868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2770213Z x = self.conv_dw(x) 2025-09-07T08:02:19.2770516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2770875Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2771240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2771597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2771956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2772275Z return conv2d_same( 2025-09-07T08:02:19.2772583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2772968Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2773151Z 2025-09-07T08:02:19.2773231Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2773444Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2773656Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2773889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2774235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2774546Z return mod(*inputs) 2025-09-07T08:02:19.2774860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2775201Z x = self.forward_features(x) 2025-09-07T08:02:19.2775539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2775894Z x = self.blocks(x) 2025-09-07T08:02:19.2776220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2776559Z x = self.conv_dw(x) 2025-09-07T08:02:19.2776860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2777178Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2777294Z 2025-09-07T08:02:19.2777393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2777799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2778145Z return mod(*inputs) 2025-09-07T08:02:19.2778450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2778790Z x = self.forward_features(x) 2025-09-07T08:02:19.2779136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2779482Z x = self.blocks(x) 2025-09-07T08:02:19.2779805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.2780137Z x = self.bn2(x) 2025-09-07T08:02:19.2780433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2780752Z x = self.act(x) 2025-09-07T08:02:19.2780843Z 2025-09-07T08:02:19.2780954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2781295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2781613Z return mod(*inputs) 2025-09-07T08:02:19.2781922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2782259Z x = self.forward_features(x) 2025-09-07T08:02:19.2782607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2782947Z x = self.blocks(x) 2025-09-07T08:02:19.2783272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2783619Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2783930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2784282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2784652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2785022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2785174Z 2025-09-07T08:02:19.2785284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2785629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2785934Z return mod(*inputs) 2025-09-07T08:02:19.2786241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2786575Z x = self.forward_features(x) 2025-09-07T08:02:19.2786919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2787256Z x = self.blocks(x) 2025-09-07T08:02:19.2787578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2787923Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2788229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2788586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2788947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2789311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2789469Z 2025-09-07T08:02:19.2789570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2789913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2790228Z return mod(*inputs) 2025-09-07T08:02:19.2790525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2791501Z x = self.forward_features(x) 2025-09-07T08:02:19.2791887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2792235Z x = self.blocks(x) 2025-09-07T08:02:19.2792549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2792901Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2793214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2793577Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2793944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2794304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2794467Z 2025-09-07T08:02:19.2794568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2794918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2795236Z return mod(*inputs) 2025-09-07T08:02:19.2795539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2795880Z x = self.forward_features(x) 2025-09-07T08:02:19.2796235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2796590Z x = self.blocks(x) 2025-09-07T08:02:19.2796916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2797259Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2797573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2797936Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2798309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2798676Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2798837Z 2025-09-07T08:02:19.2798918Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2799134Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2799369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2799714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2800025Z return mod(*inputs) 2025-09-07T08:02:19.2800349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2800690Z x = self.forward_features(x) 2025-09-07T08:02:19.2801041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2801390Z x = self.blocks(x) 2025-09-07T08:02:19.2801719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2802074Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2802391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2802727Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2802837Z 2025-09-07T08:02:19.2802939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2803284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2803599Z return mod(*inputs) 2025-09-07T08:02:19.2803909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2804239Z x = self.forward_features(x) 2025-09-07T08:02:19.2804620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2805011Z x = self.blocks(x) 2025-09-07T08:02:19.2805339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T08:02:19.2805680Z x = self.bn3(x) 2025-09-07T08:02:19.2805970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.2806289Z x = F.batch_norm( 2025-09-07T08:02:19.2806393Z 2025-09-07T08:02:19.2806494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2806848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2807163Z return mod(*inputs) 2025-09-07T08:02:19.2807478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2807819Z x = self.forward_features(x) 2025-09-07T08:02:19.2808173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2808526Z x = self.blocks(x) 2025-09-07T08:02:19.2808845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2809191Z x = self.conv_pw(x) 2025-09-07T08:02:19.2809500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2809861Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2810221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2810589Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2810751Z 2025-09-07T08:02:19.2810851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2811202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2811520Z return mod(*inputs) 2025-09-07T08:02:19.2811829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2812168Z x = self.forward_features(x) 2025-09-07T08:02:19.2812516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2812865Z x = self.blocks(x) 2025-09-07T08:02:19.2813181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2813526Z x = self.conv_pw(x) 2025-09-07T08:02:19.2813825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2814194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2814571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2814937Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2815104Z 2025-09-07T08:02:19.2815208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2815560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2815884Z return mod(*inputs) 2025-09-07T08:02:19.2816200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2816532Z x = self.forward_features(x) 2025-09-07T08:02:19.2816889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2817251Z x = self.blocks(x) 2025-09-07T08:02:19.2817577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2817916Z x = self.conv_pw(x) 2025-09-07T08:02:19.2818257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2818655Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2819039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2819410Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2819576Z 2025-09-07T08:02:19.2819681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2820043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2820371Z return mod(*inputs) 2025-09-07T08:02:19.2820694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2821037Z x = self.forward_features(x) 2025-09-07T08:02:19.2821403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2821768Z x = self.blocks(x) 2025-09-07T08:02:19.2822100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2822453Z x = self.conv_pw(x) 2025-09-07T08:02:19.2822764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2823131Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2823507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2823884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2824049Z 2025-09-07T08:02:19.2824132Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2824350Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2824588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2824938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2825258Z return mod(*inputs) 2025-09-07T08:02:19.2825565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2825906Z x = self.forward_features(x) 2025-09-07T08:02:19.2826259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2826611Z x = self.blocks(x) 2025-09-07T08:02:19.2826931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2827278Z x = self.conv_pw(x) 2025-09-07T08:02:19.2827589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2827921Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2828032Z 2025-09-07T08:02:19.2828146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2828495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2828816Z return mod(*inputs) 2025-09-07T08:02:19.2829130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2829468Z x = self.forward_features(x) 2025-09-07T08:02:19.2829812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2830167Z x = self.blocks(x) 2025-09-07T08:02:19.2830495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.2830924Z x = self.bn1(x) 2025-09-07T08:02:19.2831221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2831632Z x = self.act(x) 2025-09-07T08:02:19.2831738Z 2025-09-07T08:02:19.2831898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2832273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2832591Z return mod(*inputs) 2025-09-07T08:02:19.2832897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2833237Z x = self.forward_features(x) 2025-09-07T08:02:19.2833582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2833929Z x = self.blocks(x) 2025-09-07T08:02:19.2834240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.2834585Z x = self.bn2(x) 2025-09-07T08:02:19.2834877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2835192Z x = self.act(x) 2025-09-07T08:02:19.2835283Z 2025-09-07T08:02:19.2835393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2835730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2836040Z return mod(*inputs) 2025-09-07T08:02:19.2836345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2836674Z x = self.forward_features(x) 2025-09-07T08:02:19.2837012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2837358Z x = self.blocks(x) 2025-09-07T08:02:19.2837681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.2838015Z x = self.bn2(x) 2025-09-07T08:02:19.2838302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2838604Z x = self.act(x) 2025-09-07T08:02:19.2838700Z 2025-09-07T08:02:19.2838801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2839144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2839453Z return mod(*inputs) 2025-09-07T08:02:19.2839748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2840078Z x = self.forward_features(x) 2025-09-07T08:02:19.2840420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2840766Z x = self.blocks(x) 2025-09-07T08:02:19.2841078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2841418Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2841729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2842089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2842456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2842817Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2842967Z 2025-09-07T08:02:19.2843065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2843410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2843717Z return mod(*inputs) 2025-09-07T08:02:19.2844022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2844345Z x = self.forward_features(x) 2025-09-07T08:02:19.2844712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2845086Z x = self.blocks(x) 2025-09-07T08:02:19.2845405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2845746Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2846044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2846398Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2846757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2847120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2847266Z 2025-09-07T08:02:19.2847368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2847712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2848027Z return mod(*inputs) 2025-09-07T08:02:19.2848333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2848669Z x = self.forward_features(x) 2025-09-07T08:02:19.2849002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2849350Z x = self.blocks(x) 2025-09-07T08:02:19.2849671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2850009Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2850308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2850663Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2851031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2851394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2851544Z 2025-09-07T08:02:19.2851661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2851998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2852310Z return mod(*inputs) 2025-09-07T08:02:19.2852611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2852939Z x = self.forward_features(x) 2025-09-07T08:02:19.2853281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2853621Z x = self.blocks(x) 2025-09-07T08:02:19.2853938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2854277Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2854578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2854925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2855292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2855651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2855802Z 2025-09-07T08:02:19.2855895Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2856105Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2856326Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2856673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2856985Z return mod(*inputs) 2025-09-07T08:02:19.2857292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2857655Z x = self.forward_features(x) 2025-09-07T08:02:19.2858039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2858394Z x = self.blocks(x) 2025-09-07T08:02:19.2858715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2859065Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2859372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2859705Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2859813Z 2025-09-07T08:02:19.2859930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2860287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2860601Z return mod(*inputs) 2025-09-07T08:02:19.2860916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2861261Z x = self.forward_features(x) 2025-09-07T08:02:19.2861608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2861963Z x = self.blocks(x) 2025-09-07T08:02:19.2862280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.2862641Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.2862776Z 2025-09-07T08:02:19.2862876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2863235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2863545Z return mod(*inputs) 2025-09-07T08:02:19.2863857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2864192Z x = self.forward_features(x) 2025-09-07T08:02:19.2864550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2864903Z x = self.blocks(x) 2025-09-07T08:02:19.2865222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.2865566Z x = self.bn1(x) 2025-09-07T08:02:19.2865864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2866177Z x = self.act(x) 2025-09-07T08:02:19.2866267Z 2025-09-07T08:02:19.2866365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2866717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2867032Z return mod(*inputs) 2025-09-07T08:02:19.2867353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2867692Z x = self.forward_features(x) 2025-09-07T08:02:19.2868040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2868395Z x = self.blocks(x) 2025-09-07T08:02:19.2868716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.2869059Z x = self.bn1(x) 2025-09-07T08:02:19.2869342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2869657Z x = self.act(x) 2025-09-07T08:02:19.2869753Z 2025-09-07T08:02:19.2869852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2870207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2870520Z return mod(*inputs) 2025-09-07T08:02:19.2870858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2871185Z x = self.forward_features(x) 2025-09-07T08:02:19.2871567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2871913Z x = self.blocks(x) 2025-09-07T08:02:19.2872226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2872561Z x = self.conv_dw(x) 2025-09-07T08:02:19.2872857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2873216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2873601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2873960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2874323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2874639Z return conv2d_same( 2025-09-07T08:02:19.2874942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2875296Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2875644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2876039Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2876412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2876749Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2876897Z 2025-09-07T08:02:19.2877007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2877353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2877666Z return mod(*inputs) 2025-09-07T08:02:19.2877973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2878305Z x = self.forward_features(x) 2025-09-07T08:02:19.2878641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2878985Z x = self.blocks(x) 2025-09-07T08:02:19.2879301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2879637Z x = self.conv_dw(x) 2025-09-07T08:02:19.2879928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2880285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2880645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2881010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2881360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2881666Z return conv2d_same( 2025-09-07T08:02:19.2881972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2882357Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2882528Z 2025-09-07T08:02:19.2882635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2882968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2883276Z return mod(*inputs) 2025-09-07T08:02:19.2883577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2883943Z x = self.forward_features(x) 2025-09-07T08:02:19.2884604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2884957Z x = self.blocks(x) 2025-09-07T08:02:19.2885292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2885642Z x = self.conv_dw(x) 2025-09-07T08:02:19.2885954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2886315Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2886696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2887073Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2887445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2887777Z return conv2d_same( 2025-09-07T08:02:19.2888090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2888490Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2888678Z 2025-09-07T08:02:19.2888783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2889135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2889461Z return mod(*inputs) 2025-09-07T08:02:19.2889773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2890120Z x = self.forward_features(x) 2025-09-07T08:02:19.2890479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2890838Z x = self.blocks(x) 2025-09-07T08:02:19.2891164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2891522Z x = self.conv_dw(x) 2025-09-07T08:02:19.2891831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2892199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2892574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2892943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2893308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2893638Z return conv2d_same( 2025-09-07T08:02:19.2893957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2894326Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2894690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2895093Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2895480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2895832Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2895988Z 2025-09-07T08:02:19.2896095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2896458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2896782Z return mod(*inputs) 2025-09-07T08:02:19.2897100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2897445Z x = self.forward_features(x) 2025-09-07T08:02:19.2897830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2898209Z x = self.blocks(x) 2025-09-07T08:02:19.2898528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2898869Z x = self.conv_dw(x) 2025-09-07T08:02:19.2899163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2899522Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2899887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2900250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2900603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2900915Z return conv2d_same( 2025-09-07T08:02:19.2901228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2901619Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2901791Z 2025-09-07T08:02:19.2901901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2902252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2902558Z return mod(*inputs) 2025-09-07T08:02:19.2902871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2903212Z x = self.forward_features(x) 2025-09-07T08:02:19.2903564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2903912Z x = self.blocks(x) 2025-09-07T08:02:19.2904239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2904589Z x = self.conv_dw(x) 2025-09-07T08:02:19.2904934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2905307Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2905672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2906050Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2906414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2906742Z return conv2d_same( 2025-09-07T08:02:19.2907052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2907452Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2907641Z 2025-09-07T08:02:19.2907746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2908105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2908430Z return mod(*inputs) 2025-09-07T08:02:19.2908738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2909081Z x = self.forward_features(x) 2025-09-07T08:02:19.2909435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2909785Z x = self.blocks(x) 2025-09-07T08:02:19.2910109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2910455Z x = self.conv_dw(x) 2025-09-07T08:02:19.2910760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2911161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2911570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2911935Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2912296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2912626Z return conv2d_same( 2025-09-07T08:02:19.2912944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2913318Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2913669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2914062Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2914452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2914803Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2914951Z 2025-09-07T08:02:19.2915056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2915409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2915729Z return mod(*inputs) 2025-09-07T08:02:19.2916044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2916383Z x = self.forward_features(x) 2025-09-07T08:02:19.2916730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2917086Z x = self.blocks(x) 2025-09-07T08:02:19.2917412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2917762Z x = self.conv_dw(x) 2025-09-07T08:02:19.2918064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2918430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2918801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2919174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2919533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2919850Z return conv2d_same( 2025-09-07T08:02:19.2920171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2920569Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2920747Z 2025-09-07T08:02:19.2920863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2921220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2921537Z return mod(*inputs) 2025-09-07T08:02:19.2921856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2922191Z x = self.forward_features(x) 2025-09-07T08:02:19.2922537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2922877Z x = self.blocks(x) 2025-09-07T08:02:19.2923199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2923538Z x = self.conv_dw(x) 2025-09-07T08:02:19.2923840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2924230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2924629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2924997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2925357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2925679Z return conv2d_same( 2025-09-07T08:02:19.2925985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2926381Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2926566Z 2025-09-07T08:02:19.2926671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2927022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2927340Z return mod(*inputs) 2025-09-07T08:02:19.2927644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2927989Z x = self.forward_features(x) 2025-09-07T08:02:19.2928341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2928693Z x = self.blocks(x) 2025-09-07T08:02:19.2929010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2929356Z x = self.conv_dw(x) 2025-09-07T08:02:19.2929663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2930029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2930404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2930768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2931205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2931536Z return conv2d_same( 2025-09-07T08:02:19.2931850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.2932221Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.2932576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.2932964Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.2933342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.2933685Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.2933831Z 2025-09-07T08:02:19.2933940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2934287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2934602Z return mod(*inputs) 2025-09-07T08:02:19.2934915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2935252Z x = self.forward_features(x) 2025-09-07T08:02:19.2935592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2935940Z x = self.blocks(x) 2025-09-07T08:02:19.2936265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2936611Z x = self.conv_dw(x) 2025-09-07T08:02:19.2936905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2937265Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2937693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2938105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2938454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2938766Z return conv2d_same( 2025-09-07T08:02:19.2939072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2939464Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2939639Z 2025-09-07T08:02:19.2939753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2940108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2940414Z return mod(*inputs) 2025-09-07T08:02:19.2940732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2941066Z x = self.forward_features(x) 2025-09-07T08:02:19.2941408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2941751Z x = self.blocks(x) 2025-09-07T08:02:19.2942070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2942410Z x = self.conv_dw(x) 2025-09-07T08:02:19.2942708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2943063Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2943419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2943780Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2944134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.2944455Z return conv2d_same( 2025-09-07T08:02:19.2944754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.2945142Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.2945323Z 2025-09-07T08:02:19.2945405Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2945613Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2945815Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2946010Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2946238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2946582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2946894Z return mod(*inputs) 2025-09-07T08:02:19.2947196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2947531Z x = self.forward_features(x) 2025-09-07T08:02:19.2947878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2948223Z x = self.blocks(x) 2025-09-07T08:02:19.2948543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.2948873Z x = self.conv_dw(x) 2025-09-07T08:02:19.2949174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.2949500Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.2949608Z 2025-09-07T08:02:19.2949717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2950053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2950369Z return mod(*inputs) 2025-09-07T08:02:19.2950708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2951080Z x = self.forward_features(x) 2025-09-07T08:02:19.2951430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2951772Z x = self.blocks(x) 2025-09-07T08:02:19.2952094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.2952436Z x = self.bn2(x) 2025-09-07T08:02:19.2952725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.2953036Z x = F.batch_norm( 2025-09-07T08:02:19.2953138Z 2025-09-07T08:02:19.2953239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2953589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2953906Z return mod(*inputs) 2025-09-07T08:02:19.2954220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2954546Z x = self.forward_features(x) 2025-09-07T08:02:19.2954895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2955239Z x = self.blocks(x) 2025-09-07T08:02:19.2955558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.2955890Z x = self.bn2(x) 2025-09-07T08:02:19.2956187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.2956501Z x = self.act(x) 2025-09-07T08:02:19.2956592Z 2025-09-07T08:02:19.2956699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2957053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2957364Z return mod(*inputs) 2025-09-07T08:02:19.2957674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2958010Z x = self.forward_features(x) 2025-09-07T08:02:19.2958355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2958692Z x = self.blocks(x) 2025-09-07T08:02:19.2959011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.2959352Z x = self.se(x) 2025-09-07T08:02:19.2959668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.2960012Z x_se = self.act1(x_se) 2025-09-07T08:02:19.2960118Z 2025-09-07T08:02:19.2960217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2960566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2960876Z return mod(*inputs) 2025-09-07T08:02:19.2961186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2961513Z x = self.forward_features(x) 2025-09-07T08:02:19.2961859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2962215Z x = self.blocks(x) 2025-09-07T08:02:19.2962533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.2962871Z x = self.se(x) 2025-09-07T08:02:19.2963176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.2963519Z x_se = self.act1(x_se) 2025-09-07T08:02:19.2963627Z 2025-09-07T08:02:19.2963763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2964146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2964453Z return mod(*inputs) 2025-09-07T08:02:19.2964765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2965102Z x = self.forward_features(x) 2025-09-07T08:02:19.2965447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2965796Z x = self.blocks(x) 2025-09-07T08:02:19.2966110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.2966449Z x = self.se(x) 2025-09-07T08:02:19.2966763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.2967114Z return x * self.gate(x_se) 2025-09-07T08:02:19.2967235Z 2025-09-07T08:02:19.2967338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2967690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2968005Z return mod(*inputs) 2025-09-07T08:02:19.2968316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2968652Z x = self.forward_features(x) 2025-09-07T08:02:19.2968988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2969337Z x = self.blocks(x) 2025-09-07T08:02:19.2969661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.2970000Z x = self.se(x) 2025-09-07T08:02:19.2970305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.2970652Z return x * self.gate(x_se) 2025-09-07T08:02:19.2970775Z 2025-09-07T08:02:19.2970877Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2971226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2971539Z return mod(*inputs) 2025-09-07T08:02:19.2971842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2972179Z x = self.forward_features(x) 2025-09-07T08:02:19.2972526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2972875Z x = self.blocks(x) 2025-09-07T08:02:19.2973182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.2973518Z x = self.se(x) 2025-09-07T08:02:19.2973831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.2974175Z return x * self.gate(x_se) 2025-09-07T08:02:19.2974288Z 2025-09-07T08:02:19.2974393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2974731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2975044Z return mod(*inputs) 2025-09-07T08:02:19.2975355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2975685Z x = self.forward_features(x) 2025-09-07T08:02:19.2976026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2976377Z x = self.blocks(x) 2025-09-07T08:02:19.2976694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2977084Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2977189Z 2025-09-07T08:02:19.2977328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2977665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2977973Z return mod(*inputs) 2025-09-07T08:02:19.2978277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2978610Z x = self.forward_features(x) 2025-09-07T08:02:19.2978947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2979295Z x = self.blocks(x) 2025-09-07T08:02:19.2979618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.2979960Z x = self.conv_pwl(x) 2025-09-07T08:02:19.2980065Z 2025-09-07T08:02:19.2980173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2980511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2980824Z return mod(*inputs) 2025-09-07T08:02:19.2981131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2981456Z x = self.forward_features(x) 2025-09-07T08:02:19.2981794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2982140Z x = self.blocks(x) 2025-09-07T08:02:19.2982462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2982798Z x = self.conv_pw(x) 2025-09-07T08:02:19.2983096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2983450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2983819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2984188Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2984341Z 2025-09-07T08:02:19.2984448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2984792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2985090Z return mod(*inputs) 2025-09-07T08:02:19.2985395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2985730Z x = self.forward_features(x) 2025-09-07T08:02:19.2986073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2986411Z x = self.blocks(x) 2025-09-07T08:02:19.2986732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2987075Z x = self.conv_pw(x) 2025-09-07T08:02:19.2987378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2987734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2988089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2988454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2988612Z 2025-09-07T08:02:19.2988713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2989056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2989357Z return mod(*inputs) 2025-09-07T08:02:19.2989663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2990306Z x = self.forward_features(x) 2025-09-07T08:02:19.2990651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2991041Z x = self.blocks(x) 2025-09-07T08:02:19.2991353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2991700Z x = self.conv_pw(x) 2025-09-07T08:02:19.2992004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2992362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2992722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2993086Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2993244Z 2025-09-07T08:02:19.2993345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2993700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2994014Z return mod(*inputs) 2025-09-07T08:02:19.2994316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2994648Z x = self.forward_features(x) 2025-09-07T08:02:19.2994997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.2995344Z x = self.blocks(x) 2025-09-07T08:02:19.2995662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.2996004Z x = self.conv_pw(x) 2025-09-07T08:02:19.2996309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.2996672Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2997042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.2997400Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.2997559Z 2025-09-07T08:02:19.2997641Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2997853Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.2998086Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.2998432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.2998737Z return mod(*inputs) 2025-09-07T08:02:19.2999048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.2999385Z x = self.forward_features(x) 2025-09-07T08:02:19.2999730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3000069Z x = self.blocks(x) 2025-09-07T08:02:19.3000392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3000733Z x = self.conv_pw(x) 2025-09-07T08:02:19.3001033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3001356Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3001465Z 2025-09-07T08:02:19.3001564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3001912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3002223Z return mod(*inputs) 2025-09-07T08:02:19.3002532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3002857Z x = self.forward_features(x) 2025-09-07T08:02:19.3003234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3003582Z x = self.blocks(x) 2025-09-07T08:02:19.3003927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3004266Z x = self.conv_dw(x) 2025-09-07T08:02:19.3004555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3004912Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3005272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3005631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3005780Z 2025-09-07T08:02:19.3005878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3006222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3006529Z return mod(*inputs) 2025-09-07T08:02:19.3006836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3007164Z x = self.forward_features(x) 2025-09-07T08:02:19.3007495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3007836Z x = self.blocks(x) 2025-09-07T08:02:19.3008149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3008486Z x = self.conv_dw(x) 2025-09-07T08:02:19.3008775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3009130Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3009496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3009860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3010015Z 2025-09-07T08:02:19.3010123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3010453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3010767Z return mod(*inputs) 2025-09-07T08:02:19.3011071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3011403Z x = self.forward_features(x) 2025-09-07T08:02:19.3011735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3012082Z x = self.blocks(x) 2025-09-07T08:02:19.3012400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3012741Z x = self.conv_dw(x) 2025-09-07T08:02:19.3013042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3013390Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3013753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3014113Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3014262Z 2025-09-07T08:02:19.3014372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3014713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3015017Z return mod(*inputs) 2025-09-07T08:02:19.3015324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3015649Z x = self.forward_features(x) 2025-09-07T08:02:19.3015987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3016361Z x = self.blocks(x) 2025-09-07T08:02:19.3016715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3017061Z x = self.conv_dw(x) 2025-09-07T08:02:19.3017368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3017730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3018092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3018458Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3018616Z 2025-09-07T08:02:19.3018697Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3018775Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3018884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3019074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3019147Z return mod(*inputs) 2025-09-07T08:02:19.3019352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3019423Z x = self.forward_features(x) 2025-09-07T08:02:19.3019652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3019714Z x = self.blocks(x) 2025-09-07T08:02:19.3019939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3020002Z x = self.conv_dw(x) 2025-09-07T08:02:19.3020198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3020271Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3020275Z 2025-09-07T08:02:19.3020379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3020573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3020639Z return mod(*inputs) 2025-09-07T08:02:19.3020843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3020919Z x = self.forward_features(x) 2025-09-07T08:02:19.3021145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3021214Z x = self.blocks(x) 2025-09-07T08:02:19.3021432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3021493Z x = self.bn2(x) 2025-09-07T08:02:19.3021691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3021753Z x = F.batch_norm( 2025-09-07T08:02:19.3021756Z 2025-09-07T08:02:19.3021863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3022052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3022123Z return mod(*inputs) 2025-09-07T08:02:19.3022326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3022396Z x = self.forward_features(x) 2025-09-07T08:02:19.3022627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3022690Z x = self.blocks(x) 2025-09-07T08:02:19.3022915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3022975Z x = self.bn2(x) 2025-09-07T08:02:19.3023167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3023234Z x = self.act(x) 2025-09-07T08:02:19.3023281Z 2025-09-07T08:02:19.3023410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3023611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3023675Z return mod(*inputs) 2025-09-07T08:02:19.3023878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3023955Z x = self.forward_features(x) 2025-09-07T08:02:19.3024177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3024247Z x = self.blocks(x) 2025-09-07T08:02:19.3024464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3024525Z x = self.se(x) 2025-09-07T08:02:19.3024748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3024820Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3024825Z 2025-09-07T08:02:19.3024930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3025119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3025190Z return mod(*inputs) 2025-09-07T08:02:19.3025390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3025459Z x = self.forward_features(x) 2025-09-07T08:02:19.3025694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3025758Z x = self.blocks(x) 2025-09-07T08:02:19.3025981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3026043Z x = self.se(x) 2025-09-07T08:02:19.3026260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3026340Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3026343Z 2025-09-07T08:02:19.3026441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3026637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3026702Z return mod(*inputs) 2025-09-07T08:02:19.3026902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3026978Z x = self.forward_features(x) 2025-09-07T08:02:19.3027197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3027269Z x = self.blocks(x) 2025-09-07T08:02:19.3027486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3027551Z x = self.se(x) 2025-09-07T08:02:19.3027766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3027838Z return x * self.gate(x_se) 2025-09-07T08:02:19.3027841Z 2025-09-07T08:02:19.3027947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3028136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3028206Z return mod(*inputs) 2025-09-07T08:02:19.3028406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3028473Z x = self.forward_features(x) 2025-09-07T08:02:19.3028706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3028767Z x = self.blocks(x) 2025-09-07T08:02:19.3029017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3029080Z x = self.se(x) 2025-09-07T08:02:19.3029317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3029394Z return x * self.gate(x_se) 2025-09-07T08:02:19.3029397Z 2025-09-07T08:02:19.3029496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3029691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3029754Z return mod(*inputs) 2025-09-07T08:02:19.3029951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3030027Z x = self.forward_features(x) 2025-09-07T08:02:19.3030247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3030318Z x = self.blocks(x) 2025-09-07T08:02:19.3030534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3030607Z x = self.se(x) 2025-09-07T08:02:19.3030875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3030949Z return x * self.gate(x_se) 2025-09-07T08:02:19.3030952Z 2025-09-07T08:02:19.3031046Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3031149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3031349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3031415Z return mod(*inputs) 2025-09-07T08:02:19.3031620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3031699Z x = self.forward_features(x) 2025-09-07T08:02:19.3031985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3032072Z x = self.blocks(x) 2025-09-07T08:02:19.3032288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3032355Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3032564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3032669Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3032892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3032997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3033000Z 2025-09-07T08:02:19.3033109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3033301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3033370Z return mod(*inputs) 2025-09-07T08:02:19.3033588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3033661Z x = self.forward_features(x) 2025-09-07T08:02:19.3033894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3033959Z x = self.blocks(x) 2025-09-07T08:02:19.3034181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3034259Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3034462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3034573Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3034785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3034940Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3034980Z 2025-09-07T08:02:19.3035070Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3035170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3035371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3035435Z return mod(*inputs) 2025-09-07T08:02:19.3035645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3035724Z x = self.forward_features(x) 2025-09-07T08:02:19.3035953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3036025Z x = self.blocks(x) 2025-09-07T08:02:19.3036250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3036326Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3036534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3036637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3036862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3036963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3036966Z 2025-09-07T08:02:19.3037077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3037272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3037339Z return mod(*inputs) 2025-09-07T08:02:19.3037555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3037626Z x = self.forward_features(x) 2025-09-07T08:02:19.3037869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3037937Z x = self.blocks(x) 2025-09-07T08:02:19.3038159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3038233Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3038433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3038542Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3038755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3038862Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3038865Z 2025-09-07T08:02:19.3038947Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3039028Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3039141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3039339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3039413Z return mod(*inputs) 2025-09-07T08:02:19.3039620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3039690Z x = self.forward_features(x) 2025-09-07T08:02:19.3039928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3039992Z x = self.blocks(x) 2025-09-07T08:02:19.3040227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3040293Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3040494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3040569Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3040573Z 2025-09-07T08:02:19.3040701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3040935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3040998Z return mod(*inputs) 2025-09-07T08:02:19.3041192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3041270Z x = self.forward_features(x) 2025-09-07T08:02:19.3041484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3041553Z x = self.blocks(x) 2025-09-07T08:02:19.3041762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3041840Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3041843Z 2025-09-07T08:02:19.3041938Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3042123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3042200Z return mod(*inputs) 2025-09-07T08:02:19.3042395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3042470Z x = self.forward_features(x) 2025-09-07T08:02:19.3042683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3042745Z x = self.blocks(x) 2025-09-07T08:02:19.3042960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3043025Z x = self.conv_pw(x) 2025-09-07T08:02:19.3043221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3043319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3043520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3043626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3043629Z 2025-09-07T08:02:19.3043724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3043913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3043975Z return mod(*inputs) 2025-09-07T08:02:19.3044176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3044242Z x = self.forward_features(x) 2025-09-07T08:02:19.3044456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3044524Z x = self.blocks(x) 2025-09-07T08:02:19.3044732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3044799Z x = self.conv_pw(x) 2025-09-07T08:02:19.3044991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3045085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3045289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3045384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3045387Z 2025-09-07T08:02:19.3045489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3045671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3045732Z return mod(*inputs) 2025-09-07T08:02:19.3045932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3045997Z x = self.forward_features(x) 2025-09-07T08:02:19.3046245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3046498Z x = self.blocks(x) 2025-09-07T08:02:19.3046719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3046782Z x = self.conv_pw(x) 2025-09-07T08:02:19.3046971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3047076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3047274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3047376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3047379Z 2025-09-07T08:02:19.3047477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3047662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3047737Z return mod(*inputs) 2025-09-07T08:02:19.3047935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3048012Z x = self.forward_features(x) 2025-09-07T08:02:19.3048230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3048293Z x = self.blocks(x) 2025-09-07T08:02:19.3048510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3048573Z x = self.conv_pw(x) 2025-09-07T08:02:19.3048777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3048874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3049083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3049182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3049185Z 2025-09-07T08:02:19.3049261Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3049348Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3049444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3049635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3049698Z return mod(*inputs) 2025-09-07T08:02:19.3049895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3049971Z x = self.forward_features(x) 2025-09-07T08:02:19.3050189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3050258Z x = self.blocks(x) 2025-09-07T08:02:19.3050498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3050562Z x = self.conv_pw(x) 2025-09-07T08:02:19.3050766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3050833Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3050836Z 2025-09-07T08:02:19.3050942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3051123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3051187Z return mod(*inputs) 2025-09-07T08:02:19.3051395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3051464Z x = self.forward_features(x) 2025-09-07T08:02:19.3051687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3051829Z x = self.blocks(x) 2025-09-07T08:02:19.3052072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3052134Z x = self.conv_dw(x) 2025-09-07T08:02:19.3052321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3052426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3052624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3052730Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3052733Z 2025-09-07T08:02:19.3052828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3053013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3053086Z return mod(*inputs) 2025-09-07T08:02:19.3053283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3053362Z x = self.forward_features(x) 2025-09-07T08:02:19.3053579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3053640Z x = self.blocks(x) 2025-09-07T08:02:19.3053859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3053922Z x = self.conv_dw(x) 2025-09-07T08:02:19.3054121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3054216Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3054425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3054523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3054528Z 2025-09-07T08:02:19.3054626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3054815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3054875Z return mod(*inputs) 2025-09-07T08:02:19.3055081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3055147Z x = self.forward_features(x) 2025-09-07T08:02:19.3055360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3055429Z x = self.blocks(x) 2025-09-07T08:02:19.3055637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3055709Z x = self.conv_dw(x) 2025-09-07T08:02:19.3055898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3055996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3056199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3056293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3056296Z 2025-09-07T08:02:19.3056399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3056580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3056649Z return mod(*inputs) 2025-09-07T08:02:19.3056842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3056908Z x = self.forward_features(x) 2025-09-07T08:02:19.3057129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3057218Z x = self.blocks(x) 2025-09-07T08:02:19.3057464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3057525Z x = self.conv_dw(x) 2025-09-07T08:02:19.3057713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3057816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3058016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3058118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3058121Z 2025-09-07T08:02:19.3058196Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3058271Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3058374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3058555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3058629Z return mod(*inputs) 2025-09-07T08:02:19.3058821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3058885Z x = self.forward_features(x) 2025-09-07T08:02:19.3059109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3059167Z x = self.blocks(x) 2025-09-07T08:02:19.3059384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3059446Z x = self.conv_dw(x) 2025-09-07T08:02:19.3059639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3059703Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3059706Z 2025-09-07T08:02:19.3059802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3059991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3060056Z return mod(*inputs) 2025-09-07T08:02:19.3060256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3060320Z x = self.forward_features(x) 2025-09-07T08:02:19.3060537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3060607Z x = self.blocks(x) 2025-09-07T08:02:19.3060815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3060880Z x = self.bn2(x) 2025-09-07T08:02:19.3061067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3061127Z x = F.batch_norm( 2025-09-07T08:02:19.3061130Z 2025-09-07T08:02:19.3061236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3061420Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3061491Z return mod(*inputs) 2025-09-07T08:02:19.3061685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3061750Z x = self.forward_features(x) 2025-09-07T08:02:19.3061975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3062034Z x = self.blocks(x) 2025-09-07T08:02:19.3062249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3062308Z x = self.bn2(x) 2025-09-07T08:02:19.3062500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3062561Z x = self.act(x) 2025-09-07T08:02:19.3062564Z 2025-09-07T08:02:19.3062685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3062916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3062979Z return mod(*inputs) 2025-09-07T08:02:19.3063186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3063254Z x = self.forward_features(x) 2025-09-07T08:02:19.3063471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3063539Z x = self.blocks(x) 2025-09-07T08:02:19.3063746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3063811Z x = self.se(x) 2025-09-07T08:02:19.3064024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3064093Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3064099Z 2025-09-07T08:02:19.3064203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3064386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3064454Z return mod(*inputs) 2025-09-07T08:02:19.3064650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3064716Z x = self.forward_features(x) 2025-09-07T08:02:19.3064943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3065003Z x = self.blocks(x) 2025-09-07T08:02:19.3065220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3065279Z x = self.se(x) 2025-09-07T08:02:19.3065496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3065563Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3065566Z 2025-09-07T08:02:19.3065663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3065853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3065915Z return mod(*inputs) 2025-09-07T08:02:19.3066120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3066186Z x = self.forward_features(x) 2025-09-07T08:02:19.3066403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3066471Z x = self.blocks(x) 2025-09-07T08:02:19.3066681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3066749Z x = self.se(x) 2025-09-07T08:02:19.3066960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3067030Z return x * self.gate(x_se) 2025-09-07T08:02:19.3067033Z 2025-09-07T08:02:19.3067138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3067321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3067390Z return mod(*inputs) 2025-09-07T08:02:19.3067586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3067658Z x = self.forward_features(x) 2025-09-07T08:02:19.3067875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3067934Z x = self.blocks(x) 2025-09-07T08:02:19.3068152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3068243Z x = self.se(x) 2025-09-07T08:02:19.3068488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3068555Z return x * self.gate(x_se) 2025-09-07T08:02:19.3068558Z 2025-09-07T08:02:19.3068657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3068846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3068907Z return mod(*inputs) 2025-09-07T08:02:19.3069107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3069173Z x = self.forward_features(x) 2025-09-07T08:02:19.3069386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3069455Z x = self.blocks(x) 2025-09-07T08:02:19.3069664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3069733Z x = self.se(x) 2025-09-07T08:02:19.3069936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3070001Z return x * self.gate(x_se) 2025-09-07T08:02:19.3070012Z 2025-09-07T08:02:19.3070110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3070292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3070363Z return mod(*inputs) 2025-09-07T08:02:19.3070558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3070632Z x = self.forward_features(x) 2025-09-07T08:02:19.3070847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3070908Z x = self.blocks(x) 2025-09-07T08:02:19.3071122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3071188Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3071383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3071480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3071679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3071783Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3071786Z 2025-09-07T08:02:19.3071881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3072065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3072127Z return mod(*inputs) 2025-09-07T08:02:19.3072322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3072401Z x = self.forward_features(x) 2025-09-07T08:02:19.3072617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3072685Z x = self.blocks(x) 2025-09-07T08:02:19.3072892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3072963Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3073154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3073249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3073457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3073554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3073556Z 2025-09-07T08:02:19.3073686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3073896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3073960Z return mod(*inputs) 2025-09-07T08:02:19.3074163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3074228Z x = self.forward_features(x) 2025-09-07T08:02:19.3074450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3074512Z x = self.blocks(x) 2025-09-07T08:02:19.3074721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3074794Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3074982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3075088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3075290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3075397Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3075400Z 2025-09-07T08:02:19.3075496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3075677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3075746Z return mod(*inputs) 2025-09-07T08:02:19.3075938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3076010Z x = self.forward_features(x) 2025-09-07T08:02:19.3076227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3076288Z x = self.blocks(x) 2025-09-07T08:02:19.3076504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3076569Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3076765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3076860Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3077058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3077161Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3077164Z 2025-09-07T08:02:19.3077244Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3077326Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3077422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3077610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3077676Z return mod(*inputs) 2025-09-07T08:02:19.3077876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3077949Z x = self.forward_features(x) 2025-09-07T08:02:19.3078164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3078229Z x = self.blocks(x) 2025-09-07T08:02:19.3078436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3078500Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3078700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3078761Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3078764Z 2025-09-07T08:02:19.3078865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3079072Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3079166Z return mod(*inputs) 2025-09-07T08:02:19.3079371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3079437Z x = self.forward_features(x) 2025-09-07T08:02:19.3079664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3079725Z x = self.blocks(x) 2025-09-07T08:02:19.3079936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3080018Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3080021Z 2025-09-07T08:02:19.3080115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3080306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3080367Z return mod(*inputs) 2025-09-07T08:02:19.3080573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3080639Z x = self.forward_features(x) 2025-09-07T08:02:19.3080858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3080927Z x = self.blocks(x) 2025-09-07T08:02:19.3081136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3081207Z x = self.conv_pw(x) 2025-09-07T08:02:19.3081399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3081496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3081703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3081802Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3081807Z 2025-09-07T08:02:19.3081909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3082095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3082157Z return mod(*inputs) 2025-09-07T08:02:19.3082362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3082427Z x = self.forward_features(x) 2025-09-07T08:02:19.3082655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3082715Z x = self.blocks(x) 2025-09-07T08:02:19.3082931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3082996Z x = self.conv_pw(x) 2025-09-07T08:02:19.3083190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3083294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3083496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3083596Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3083599Z 2025-09-07T08:02:19.3083692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3083878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3083947Z return mod(*inputs) 2025-09-07T08:02:19.3084145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3084217Z x = self.forward_features(x) 2025-09-07T08:02:19.3084435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3084533Z x = self.blocks(x) 2025-09-07T08:02:19.3084781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3084845Z x = self.conv_pw(x) 2025-09-07T08:02:19.3085047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3085142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3085343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3085444Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3085447Z 2025-09-07T08:02:19.3085544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3085735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3085797Z return mod(*inputs) 2025-09-07T08:02:19.3086003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3086072Z x = self.forward_features(x) 2025-09-07T08:02:19.3086291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3086359Z x = self.blocks(x) 2025-09-07T08:02:19.3086568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3086638Z x = self.conv_pw(x) 2025-09-07T08:02:19.3086830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3086924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3087132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3087230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3087233Z 2025-09-07T08:02:19.3087322Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3087398Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3087496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3087689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3087751Z return mod(*inputs) 2025-09-07T08:02:19.3087959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3088025Z x = self.forward_features(x) 2025-09-07T08:02:19.3088248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3088308Z x = self.blocks(x) 2025-09-07T08:02:19.3088517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3088590Z x = self.conv_pw(x) 2025-09-07T08:02:19.3088785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3088861Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3088864Z 2025-09-07T08:02:19.3088959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3089139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3089214Z return mod(*inputs) 2025-09-07T08:02:19.3089411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3089486Z x = self.forward_features(x) 2025-09-07T08:02:19.3089703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3089766Z x = self.blocks(x) 2025-09-07T08:02:19.3090184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3090280Z x = self.conv_dw(x) 2025-09-07T08:02:19.3090483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3090583Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3090785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3090894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3090897Z 2025-09-07T08:02:19.3090997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3091189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3091251Z return mod(*inputs) 2025-09-07T08:02:19.3091458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3091527Z x = self.forward_features(x) 2025-09-07T08:02:19.3091749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3091820Z x = self.blocks(x) 2025-09-07T08:02:19.3092030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3092100Z x = self.conv_dw(x) 2025-09-07T08:02:19.3092291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3092389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3092599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3092696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3092699Z 2025-09-07T08:02:19.3092805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3092992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3093065Z return mod(*inputs) 2025-09-07T08:02:19.3093266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3093334Z x = self.forward_features(x) 2025-09-07T08:02:19.3093561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3093622Z x = self.blocks(x) 2025-09-07T08:02:19.3093839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3093901Z x = self.conv_dw(x) 2025-09-07T08:02:19.3094091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3094193Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3094395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3094502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3094505Z 2025-09-07T08:02:19.3094601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3094787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3094858Z return mod(*inputs) 2025-09-07T08:02:19.3095054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3095127Z x = self.forward_features(x) 2025-09-07T08:02:19.3095343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3095413Z x = self.blocks(x) 2025-09-07T08:02:19.3095654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3095716Z x = self.conv_dw(x) 2025-09-07T08:02:19.3095941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3096034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3096239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3096333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3096336Z 2025-09-07T08:02:19.3096410Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3096495Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3096591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3097425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3097487Z return mod(*inputs) 2025-09-07T08:02:19.3097685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3097763Z x = self.forward_features(x) 2025-09-07T08:02:19.3097978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3098044Z x = self.blocks(x) 2025-09-07T08:02:19.3098250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3098318Z x = self.conv_dw(x) 2025-09-07T08:02:19.3098508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3098572Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3098574Z 2025-09-07T08:02:19.3098677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3098859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3098926Z return mod(*inputs) 2025-09-07T08:02:19.3099125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3099194Z x = self.forward_features(x) 2025-09-07T08:02:19.3099418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3099479Z x = self.blocks(x) 2025-09-07T08:02:19.3099691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3099751Z x = self.bn2(x) 2025-09-07T08:02:19.3099935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3100004Z x = F.batch_norm( 2025-09-07T08:02:19.3100007Z 2025-09-07T08:02:19.3100101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3100291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3100357Z return mod(*inputs) 2025-09-07T08:02:19.3100554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3100630Z x = self.forward_features(x) 2025-09-07T08:02:19.3100846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3100916Z x = self.blocks(x) 2025-09-07T08:02:19.3101131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3101192Z x = self.bn2(x) 2025-09-07T08:02:19.3101382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3101442Z x = self.act(x) 2025-09-07T08:02:19.3101445Z 2025-09-07T08:02:19.3101548Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3101760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3101866Z return mod(*inputs) 2025-09-07T08:02:19.3102059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3102125Z x = self.forward_features(x) 2025-09-07T08:02:19.3102347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3102406Z x = self.blocks(x) 2025-09-07T08:02:19.3102623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3102680Z x = self.se(x) 2025-09-07T08:02:19.3102890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3102965Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3102968Z 2025-09-07T08:02:19.3103064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3103256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3103320Z return mod(*inputs) 2025-09-07T08:02:19.3103515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3103587Z x = self.forward_features(x) 2025-09-07T08:02:19.3103806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3103876Z x = self.blocks(x) 2025-09-07T08:02:19.3104084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3104143Z x = self.se(x) 2025-09-07T08:02:19.3104357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3104421Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3104424Z 2025-09-07T08:02:19.3104530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3104714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3104783Z return mod(*inputs) 2025-09-07T08:02:19.3104976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3105041Z x = self.forward_features(x) 2025-09-07T08:02:19.3105263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3105324Z x = self.blocks(x) 2025-09-07T08:02:19.3105540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3105598Z x = self.se(x) 2025-09-07T08:02:19.3105805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3105882Z return x * self.gate(x_se) 2025-09-07T08:02:19.3105885Z 2025-09-07T08:02:19.3105981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3106172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3106234Z return mod(*inputs) 2025-09-07T08:02:19.3106430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3106504Z x = self.forward_features(x) 2025-09-07T08:02:19.3106723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3106788Z x = self.blocks(x) 2025-09-07T08:02:19.3106993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3107051Z x = self.se(x) 2025-09-07T08:02:19.3107306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3107401Z return x * self.gate(x_se) 2025-09-07T08:02:19.3107405Z 2025-09-07T08:02:19.3107507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3107687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3107758Z return mod(*inputs) 2025-09-07T08:02:19.3107951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3108019Z x = self.forward_features(x) 2025-09-07T08:02:19.3108242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3108304Z x = self.blocks(x) 2025-09-07T08:02:19.3108517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3108576Z x = self.se(x) 2025-09-07T08:02:19.3108784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3108859Z return x * self.gate(x_se) 2025-09-07T08:02:19.3108862Z 2025-09-07T08:02:19.3108959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3109149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3109210Z return mod(*inputs) 2025-09-07T08:02:19.3109402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3109477Z x = self.forward_features(x) 2025-09-07T08:02:19.3109690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3109758Z x = self.blocks(x) 2025-09-07T08:02:19.3109966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3110042Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3110237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3110336Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3110543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3110641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3110644Z 2025-09-07T08:02:19.3110748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3110931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3110992Z return mod(*inputs) 2025-09-07T08:02:19.3111200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3111266Z x = self.forward_features(x) 2025-09-07T08:02:19.3111492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3111554Z x = self.blocks(x) 2025-09-07T08:02:19.3111760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3111831Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3112022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3112127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3112328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3112434Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3112437Z 2025-09-07T08:02:19.3112534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3112748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3112849Z return mod(*inputs) 2025-09-07T08:02:19.3113043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3113114Z x = self.forward_features(x) 2025-09-07T08:02:19.3113331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3113392Z x = self.blocks(x) 2025-09-07T08:02:19.3113610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3113675Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3113874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3113971Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3114172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3114277Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3114280Z 2025-09-07T08:02:19.3114376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3114562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3114626Z return mod(*inputs) 2025-09-07T08:02:19.3114829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3114896Z x = self.forward_features(x) 2025-09-07T08:02:19.3115114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3115182Z x = self.blocks(x) 2025-09-07T08:02:19.3115392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3115465Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3115656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3115755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3115962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3116059Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3116061Z 2025-09-07T08:02:19.3116149Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3116225Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3116322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3116513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3116578Z return mod(*inputs) 2025-09-07T08:02:19.3116786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3116855Z x = self.forward_features(x) 2025-09-07T08:02:19.3117070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3117138Z x = self.blocks(x) 2025-09-07T08:02:19.3117347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3117420Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3117612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3117682Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3117685Z 2025-09-07T08:02:19.3117780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3117962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3118032Z return mod(*inputs) 2025-09-07T08:02:19.3118257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3118361Z x = self.forward_features(x) 2025-09-07T08:02:19.3118575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3118636Z x = self.blocks(x) 2025-09-07T08:02:19.3118849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3118920Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3118923Z 2025-09-07T08:02:19.3119025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3119208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3119268Z return mod(*inputs) 2025-09-07T08:02:19.3119467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3119534Z x = self.forward_features(x) 2025-09-07T08:02:19.3119754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3119815Z x = self.blocks(x) 2025-09-07T08:02:19.3120031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3120089Z x = self.bn1(x) 2025-09-07T08:02:19.3120273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3120339Z x = self.act(x) 2025-09-07T08:02:19.3120342Z 2025-09-07T08:02:19.3120437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3120625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3120687Z return mod(*inputs) 2025-09-07T08:02:19.3120883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3120959Z x = self.forward_features(x) 2025-09-07T08:02:19.3121176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3121243Z x = self.blocks(x) 2025-09-07T08:02:19.3121453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3121510Z x = self.bn1(x) 2025-09-07T08:02:19.3121703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3121762Z x = self.act(x) 2025-09-07T08:02:19.3121765Z 2025-09-07T08:02:19.3121871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3122053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3122114Z return mod(*inputs) 2025-09-07T08:02:19.3122319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3122389Z x = self.forward_features(x) 2025-09-07T08:02:19.3122614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3122674Z x = self.blocks(x) 2025-09-07T08:02:19.3122891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3122955Z x = self.conv_dw(x) 2025-09-07T08:02:19.3123144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3123248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3123452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3123558Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3123780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3123876Z return conv2d_same( 2025-09-07T08:02:19.3124094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3124196Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3124393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3124535Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3124716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3124824Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3124827Z 2025-09-07T08:02:19.3124923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3125118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3125184Z return mod(*inputs) 2025-09-07T08:02:19.3125391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3125458Z x = self.forward_features(x) 2025-09-07T08:02:19.3125680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3125749Z x = self.blocks(x) 2025-09-07T08:02:19.3125963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3126032Z x = self.conv_dw(x) 2025-09-07T08:02:19.3126226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3126324Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3126537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3126637Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3126839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3126902Z return conv2d_same( 2025-09-07T08:02:19.3127104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3127239Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3127242Z 2025-09-07T08:02:19.3127339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3127534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3127595Z return mod(*inputs) 2025-09-07T08:02:19.3127806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3127874Z x = self.forward_features(x) 2025-09-07T08:02:19.3128099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3128167Z x = self.blocks(x) 2025-09-07T08:02:19.3128379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3128449Z x = self.conv_dw(x) 2025-09-07T08:02:19.3128643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3128740Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3128947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3129043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3129272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3129494Z return conv2d_same( 2025-09-07T08:02:19.3129691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3129824Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3129827Z 2025-09-07T08:02:19.3129925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3130121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3130182Z return mod(*inputs) 2025-09-07T08:02:19.3130388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3130455Z x = self.forward_features(x) 2025-09-07T08:02:19.3130679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3130752Z x = self.blocks(x) 2025-09-07T08:02:19.3131034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3131111Z x = self.conv_dw(x) 2025-09-07T08:02:19.3131306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3131404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3131618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3131718Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3131926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3131990Z return conv2d_same( 2025-09-07T08:02:19.3132250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3132362Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3132550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3132693Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3132877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3132981Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3132984Z 2025-09-07T08:02:19.3133085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3133273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3133346Z return mod(*inputs) 2025-09-07T08:02:19.3133547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3133626Z x = self.forward_features(x) 2025-09-07T08:02:19.3133851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3133918Z x = self.blocks(x) 2025-09-07T08:02:19.3134145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3134207Z x = self.conv_dw(x) 2025-09-07T08:02:19.3134418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3134517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3134722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3134825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3135019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3135142Z return conv2d_same( 2025-09-07T08:02:19.3135384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3135517Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3135520Z 2025-09-07T08:02:19.3135619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3135809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3135882Z return mod(*inputs) 2025-09-07T08:02:19.3136084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3136161Z x = self.forward_features(x) 2025-09-07T08:02:19.3136384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3136447Z x = self.blocks(x) 2025-09-07T08:02:19.3136675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3136741Z x = self.conv_dw(x) 2025-09-07T08:02:19.3136945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3137044Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3137248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3137355Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3137549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3137621Z return conv2d_same( 2025-09-07T08:02:19.3137826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3137961Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3137966Z 2025-09-07T08:02:19.3138066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3138259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3138333Z return mod(*inputs) 2025-09-07T08:02:19.3138533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3138610Z x = self.forward_features(x) 2025-09-07T08:02:19.3138834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3138895Z x = self.blocks(x) 2025-09-07T08:02:19.3139117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3139179Z x = self.conv_dw(x) 2025-09-07T08:02:19.3139386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3139487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3139689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3139793Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3139986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3140055Z return conv2d_same( 2025-09-07T08:02:19.3140257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3140365Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3140559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3140725Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3140943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3141041Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3141044Z 2025-09-07T08:02:19.3141152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3141346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3141409Z return mod(*inputs) 2025-09-07T08:02:19.3141622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3141692Z x = self.forward_features(x) 2025-09-07T08:02:19.3141924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3141986Z x = self.blocks(x) 2025-09-07T08:02:19.3142205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3142278Z x = self.conv_dw(x) 2025-09-07T08:02:19.3142473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3142581Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3142787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3142894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3143088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3143151Z return conv2d_same( 2025-09-07T08:02:19.3143366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3143488Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3143493Z 2025-09-07T08:02:19.3143602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3143791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3143855Z return mod(*inputs) 2025-09-07T08:02:19.3144064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3144131Z x = self.forward_features(x) 2025-09-07T08:02:19.3144362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3144423Z x = self.blocks(x) 2025-09-07T08:02:19.3144637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3144705Z x = self.conv_dw(x) 2025-09-07T08:02:19.3144909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3145012Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3145213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3145313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3145502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3145560Z return conv2d_same( 2025-09-07T08:02:19.3145768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3145887Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3145890Z 2025-09-07T08:02:19.3145978Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3146054Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3146128Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3146265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3146489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3146559Z return mod(*inputs) 2025-09-07T08:02:19.3146753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3146820Z x = self.forward_features(x) 2025-09-07T08:02:19.3147042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3147102Z x = self.blocks(x) 2025-09-07T08:02:19.3147318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3147380Z x = self.conv_dw(x) 2025-09-07T08:02:19.3147567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3147640Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3147645Z 2025-09-07T08:02:19.3147744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3147935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3147997Z return mod(*inputs) 2025-09-07T08:02:19.3148195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3148262Z x = self.forward_features(x) 2025-09-07T08:02:19.3148477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3148545Z x = self.blocks(x) 2025-09-07T08:02:19.3148755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3148821Z x = self.bn2(x) 2025-09-07T08:02:19.3149004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3149066Z x = F.batch_norm( 2025-09-07T08:02:19.3149071Z 2025-09-07T08:02:19.3149177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3149362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3149431Z return mod(*inputs) 2025-09-07T08:02:19.3149625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3149689Z x = self.forward_features(x) 2025-09-07T08:02:19.3149913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3149974Z x = self.blocks(x) 2025-09-07T08:02:19.3150187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3150246Z x = self.bn2(x) 2025-09-07T08:02:19.3150430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3150501Z x = self.act(x) 2025-09-07T08:02:19.3150504Z 2025-09-07T08:02:19.3150599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3150787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3150850Z return mod(*inputs) 2025-09-07T08:02:19.3151058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3151124Z x = self.forward_features(x) 2025-09-07T08:02:19.3151340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3151413Z x = self.blocks(x) 2025-09-07T08:02:19.3151618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3151689Z x = self.se(x) 2025-09-07T08:02:19.3151926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3152021Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3152024Z 2025-09-07T08:02:19.3152129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3152310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3152381Z return mod(*inputs) 2025-09-07T08:02:19.3152578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3152643Z x = self.forward_features(x) 2025-09-07T08:02:19.3152873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3152931Z x = self.blocks(x) 2025-09-07T08:02:19.3153148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3153211Z x = self.se(x) 2025-09-07T08:02:19.3153418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3153497Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3153501Z 2025-09-07T08:02:19.3153596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3153786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3153848Z return mod(*inputs) 2025-09-07T08:02:19.3154050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3154117Z x = self.forward_features(x) 2025-09-07T08:02:19.3154336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3154408Z x = self.blocks(x) 2025-09-07T08:02:19.3154622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3154690Z x = self.se(x) 2025-09-07T08:02:19.3154900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3154967Z return x * self.gate(x_se) 2025-09-07T08:02:19.3154970Z 2025-09-07T08:02:19.3155077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3155260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3155329Z return mod(*inputs) 2025-09-07T08:02:19.3155521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3155588Z x = self.forward_features(x) 2025-09-07T08:02:19.3155813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3155872Z x = self.blocks(x) 2025-09-07T08:02:19.3156089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3156148Z x = self.se(x) 2025-09-07T08:02:19.3156353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3156429Z return x * self.gate(x_se) 2025-09-07T08:02:19.3156432Z 2025-09-07T08:02:19.3156528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3156715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3156776Z return mod(*inputs) 2025-09-07T08:02:19.3156977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3157044Z x = self.forward_features(x) 2025-09-07T08:02:19.3157260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3157354Z x = self.blocks(x) 2025-09-07T08:02:19.3157590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3157653Z x = self.se(x) 2025-09-07T08:02:19.3157862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3157928Z return x * self.gate(x_se) 2025-09-07T08:02:19.3157931Z 2025-09-07T08:02:19.3158035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3158217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3158288Z return mod(*inputs) 2025-09-07T08:02:19.3158483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3158549Z x = self.forward_features(x) 2025-09-07T08:02:19.3158778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3158842Z x = self.blocks(x) 2025-09-07T08:02:19.3159057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3159122Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3159125Z 2025-09-07T08:02:19.3159228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3159407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3159468Z return mod(*inputs) 2025-09-07T08:02:19.3159668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3159736Z x = self.forward_features(x) 2025-09-07T08:02:19.3159957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3160017Z x = self.blocks(x) 2025-09-07T08:02:19.3160226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3160300Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3160303Z 2025-09-07T08:02:19.3160398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3160587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3160648Z return mod(*inputs) 2025-09-07T08:02:19.3160844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3160919Z x = self.forward_features(x) 2025-09-07T08:02:19.3161138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3161204Z x = self.blocks(x) 2025-09-07T08:02:19.3161412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3161477Z x = self.conv_pw(x) 2025-09-07T08:02:19.3161679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3161781Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3161990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3162089Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3162092Z 2025-09-07T08:02:19.3162198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3162378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3162441Z return mod(*inputs) 2025-09-07T08:02:19.3162643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3162708Z x = self.forward_features(x) 2025-09-07T08:02:19.3162961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3163048Z x = self.blocks(x) 2025-09-07T08:02:19.3163263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3163332Z x = self.conv_pw(x) 2025-09-07T08:02:19.3163529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3163635Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3163842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3163939Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3163952Z 2025-09-07T08:02:19.3164049Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3164235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3164306Z return mod(*inputs) 2025-09-07T08:02:19.3164508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3164585Z x = self.forward_features(x) 2025-09-07T08:02:19.3164808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3164868Z x = self.blocks(x) 2025-09-07T08:02:19.3165090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3165152Z x = self.conv_pw(x) 2025-09-07T08:02:19.3165355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3165453Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3165657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3165764Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3165767Z 2025-09-07T08:02:19.3165862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3166054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3166116Z return mod(*inputs) 2025-09-07T08:02:19.3166316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3166393Z x = self.forward_features(x) 2025-09-07T08:02:19.3166614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3166684Z x = self.blocks(x) 2025-09-07T08:02:19.3166899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3166971Z x = self.conv_pw(x) 2025-09-07T08:02:19.3167166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3167263Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3167476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3167571Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3167574Z 2025-09-07T08:02:19.3167657Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3167734Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3167833Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3168023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3168085Z return mod(*inputs) 2025-09-07T08:02:19.3168333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3168429Z x = self.forward_features(x) 2025-09-07T08:02:19.3168647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3168717Z x = self.blocks(x) 2025-09-07T08:02:19.3168928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3168998Z x = self.conv_pw(x) 2025-09-07T08:02:19.3169190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3169255Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3169265Z 2025-09-07T08:02:19.3169363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3169544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3169614Z return mod(*inputs) 2025-09-07T08:02:19.3169810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3169884Z x = self.forward_features(x) 2025-09-07T08:02:19.3170102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3170162Z x = self.blocks(x) 2025-09-07T08:02:19.3170379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3170439Z x = self.conv_dw(x) 2025-09-07T08:02:19.3170638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3170734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3170936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3171040Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3171046Z 2025-09-07T08:02:19.3171144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3171334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3171395Z return mod(*inputs) 2025-09-07T08:02:19.3171592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3171666Z x = self.forward_features(x) 2025-09-07T08:02:19.3171883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3171951Z x = self.blocks(x) 2025-09-07T08:02:19.3172160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3172228Z x = self.conv_dw(x) 2025-09-07T08:02:19.3172420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3172517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3172729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3172825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3172828Z 2025-09-07T08:02:19.3172933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3173118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3173181Z return mod(*inputs) 2025-09-07T08:02:19.3173384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3173452Z x = self.forward_features(x) 2025-09-07T08:02:19.3173677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3173769Z x = self.blocks(x) 2025-09-07T08:02:19.3173981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3174081Z x = self.conv_dw(x) 2025-09-07T08:02:19.3174274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3174376Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3174575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3174678Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3174681Z 2025-09-07T08:02:19.3174778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3174962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3175033Z return mod(*inputs) 2025-09-07T08:02:19.3175231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3175307Z x = self.forward_features(x) 2025-09-07T08:02:19.3175523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3175583Z x = self.blocks(x) 2025-09-07T08:02:19.3175801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3175863Z x = self.conv_dw(x) 2025-09-07T08:02:19.3176058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3176154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3176351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3176454Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3176460Z 2025-09-07T08:02:19.3176557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3176752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3176813Z return mod(*inputs) 2025-09-07T08:02:19.3177014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3177080Z x = self.forward_features(x) 2025-09-07T08:02:19.3177298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3177366Z x = self.blocks(x) 2025-09-07T08:02:19.3177574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3177643Z x = self.conv_dw(x) 2025-09-07T08:02:19.3177834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3177933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3178142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3178239Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3178241Z 2025-09-07T08:02:19.3178347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3178530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3178591Z return mod(*inputs) 2025-09-07T08:02:19.3178799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3178865Z x = self.forward_features(x) 2025-09-07T08:02:19.3179085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3179145Z x = self.blocks(x) 2025-09-07T08:02:19.3179394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3179486Z x = self.conv_dw(x) 2025-09-07T08:02:19.3179680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3179789Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3179987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3180090Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3180093Z 2025-09-07T08:02:19.3180190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3180372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3180442Z return mod(*inputs) 2025-09-07T08:02:19.3180643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3180719Z x = self.forward_features(x) 2025-09-07T08:02:19.3180935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3180995Z x = self.blocks(x) 2025-09-07T08:02:19.3181214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3181274Z x = self.conv_dw(x) 2025-09-07T08:02:19.3181472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3181568Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3181777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3181872Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3181875Z 2025-09-07T08:02:19.3181975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3182169Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3182230Z return mod(*inputs) 2025-09-07T08:02:19.3182432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3182498Z x = self.forward_features(x) 2025-09-07T08:02:19.3182717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3182786Z x = self.blocks(x) 2025-09-07T08:02:19.3182998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3183068Z x = self.conv_dw(x) 2025-09-07T08:02:19.3183259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3183359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3183567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3183662Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3183665Z 2025-09-07T08:02:19.3183753Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3183829Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3183910Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3183981Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3184079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3184269Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3184332Z return mod(*inputs) 2025-09-07T08:02:19.3184536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3184634Z x = self.forward_features(x) 2025-09-07T08:02:19.3184881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3184951Z x = self.blocks(x) 2025-09-07T08:02:19.3185159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3185226Z x = self.conv_dw(x) 2025-09-07T08:02:19.3185416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3185481Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3185485Z 2025-09-07T08:02:19.3185591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3185772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3185844Z return mod(*inputs) 2025-09-07T08:02:19.3186042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3186111Z x = self.forward_features(x) 2025-09-07T08:02:19.3186336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3186396Z x = self.blocks(x) 2025-09-07T08:02:19.3186616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3186675Z x = self.bn2(x) 2025-09-07T08:02:19.3186863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3186935Z x = F.batch_norm( 2025-09-07T08:02:19.3186938Z 2025-09-07T08:02:19.3187034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3187225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3187289Z return mod(*inputs) 2025-09-07T08:02:19.3187497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3187565Z x = self.forward_features(x) 2025-09-07T08:02:19.3187780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3187851Z x = self.blocks(x) 2025-09-07T08:02:19.3188059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3188125Z x = self.bn2(x) 2025-09-07T08:02:19.3188311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3188371Z x = self.act(x) 2025-09-07T08:02:19.3188373Z 2025-09-07T08:02:19.3188479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3188658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3188730Z return mod(*inputs) 2025-09-07T08:02:19.3188925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3188995Z x = self.forward_features(x) 2025-09-07T08:02:19.3189219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3189278Z x = self.blocks(x) 2025-09-07T08:02:19.3189492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3189550Z x = self.se(x) 2025-09-07T08:02:19.3189759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3189831Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3189834Z 2025-09-07T08:02:19.3189932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3190161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3190254Z return mod(*inputs) 2025-09-07T08:02:19.3190459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3190523Z x = self.forward_features(x) 2025-09-07T08:02:19.3190742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3190813Z x = self.blocks(x) 2025-09-07T08:02:19.3191024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3191090Z x = self.se(x) 2025-09-07T08:02:19.3191297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3191362Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3191365Z 2025-09-07T08:02:19.3191470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3191660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3191731Z return mod(*inputs) 2025-09-07T08:02:19.3191925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3191992Z x = self.forward_features(x) 2025-09-07T08:02:19.3192217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3192277Z x = self.blocks(x) 2025-09-07T08:02:19.3192494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3192552Z x = self.se(x) 2025-09-07T08:02:19.3192758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3192833Z return x * self.gate(x_se) 2025-09-07T08:02:19.3192836Z 2025-09-07T08:02:19.3192934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3193126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3193189Z return mod(*inputs) 2025-09-07T08:02:19.3193391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3193458Z x = self.forward_features(x) 2025-09-07T08:02:19.3193671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3193739Z x = self.blocks(x) 2025-09-07T08:02:19.3193946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3194009Z x = self.se(x) 2025-09-07T08:02:19.3194214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3194282Z return x * self.gate(x_se) 2025-09-07T08:02:19.3194287Z 2025-09-07T08:02:19.3194394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3194576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3194645Z return mod(*inputs) 2025-09-07T08:02:19.3194841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3194904Z x = self.forward_features(x) 2025-09-07T08:02:19.3195126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3195188Z x = self.blocks(x) 2025-09-07T08:02:19.3195402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3195462Z x = self.se(x) 2025-09-07T08:02:19.3195672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3195766Z return x * self.gate(x_se) 2025-09-07T08:02:19.3195797Z 2025-09-07T08:02:19.3195873Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3195977Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3196160Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3196230Z return mod(*inputs) 2025-09-07T08:02:19.3196425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3196490Z x = self.forward_features(x) 2025-09-07T08:02:19.3196714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3196774Z x = self.blocks(x) 2025-09-07T08:02:19.3196992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3197057Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3197252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3197362Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3197561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3197665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3197668Z 2025-09-07T08:02:19.3197763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3197954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3198018Z return mod(*inputs) 2025-09-07T08:02:19.3198214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3198288Z x = self.forward_features(x) 2025-09-07T08:02:19.3198507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3198579Z x = self.blocks(x) 2025-09-07T08:02:19.3198786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3198851Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3199051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3199150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3199360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3199456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3199459Z 2025-09-07T08:02:19.3199534Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3199637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3199822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3199891Z return mod(*inputs) 2025-09-07T08:02:19.3200083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3200150Z x = self.forward_features(x) 2025-09-07T08:02:19.3200382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3200444Z x = self.blocks(x) 2025-09-07T08:02:19.3200659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3200724Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3200925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3201022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3201250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3201385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3201388Z 2025-09-07T08:02:19.3201485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3201680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3201742Z return mod(*inputs) 2025-09-07T08:02:19.3201940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3202013Z x = self.forward_features(x) 2025-09-07T08:02:19.3202230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3202297Z x = self.blocks(x) 2025-09-07T08:02:19.3202504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3202571Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3202774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3202870Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3203077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3203173Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3203176Z 2025-09-07T08:02:19.3203260Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3203335Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3203434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3203626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3203688Z return mod(*inputs) 2025-09-07T08:02:19.3203893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3203959Z x = self.forward_features(x) 2025-09-07T08:02:19.3204179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3204245Z x = self.blocks(x) 2025-09-07T08:02:19.3204455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3204527Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3204718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3204783Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3204786Z 2025-09-07T08:02:19.3204887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3205068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3205140Z return mod(*inputs) 2025-09-07T08:02:19.3205335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3205402Z x = self.forward_features(x) 2025-09-07T08:02:19.3205629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3205688Z x = self.blocks(x) 2025-09-07T08:02:19.3205905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3205974Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3205977Z 2025-09-07T08:02:19.3206078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3206257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3206319Z return mod(*inputs) 2025-09-07T08:02:19.3206549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3206614Z x = self.forward_features(x) 2025-09-07T08:02:19.3206878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3206938Z x = self.blocks(x) 2025-09-07T08:02:19.3207147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3207218Z x = self.conv_pw(x) 2025-09-07T08:02:19.3207408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3207509Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3207707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3207801Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3207812Z 2025-09-07T08:02:19.3207909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3208093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3208161Z return mod(*inputs) 2025-09-07T08:02:19.3208357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3208431Z x = self.forward_features(x) 2025-09-07T08:02:19.3208654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3208713Z x = self.blocks(x) 2025-09-07T08:02:19.3208928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3208991Z x = self.conv_pw(x) 2025-09-07T08:02:19.3209189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3209288Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3209488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3209594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3209597Z 2025-09-07T08:02:19.3209693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3209882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3209943Z return mod(*inputs) 2025-09-07T08:02:19.3210136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3210209Z x = self.forward_features(x) 2025-09-07T08:02:19.3210424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3210491Z x = self.blocks(x) 2025-09-07T08:02:19.3210701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3210774Z x = self.conv_pw(x) 2025-09-07T08:02:19.3210963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3211058Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3211264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3211360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3211363Z 2025-09-07T08:02:19.3211466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3211649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3211711Z return mod(*inputs) 2025-09-07T08:02:19.3211917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3212012Z x = self.forward_features(x) 2025-09-07T08:02:19.3212269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3212331Z x = self.blocks(x) 2025-09-07T08:02:19.3212541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3212611Z x = self.conv_pw(x) 2025-09-07T08:02:19.3212800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3212902Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3213101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3213205Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3213208Z 2025-09-07T08:02:19.3213286Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3213367Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3213471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3213656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3213729Z return mod(*inputs) 2025-09-07T08:02:19.3213921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3213987Z x = self.forward_features(x) 2025-09-07T08:02:19.3214212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3214274Z x = self.blocks(x) 2025-09-07T08:02:19.3214497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3214558Z x = self.conv_pw(x) 2025-09-07T08:02:19.3214751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3214829Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3214831Z 2025-09-07T08:02:19.3214927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3215121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3215183Z return mod(*inputs) 2025-09-07T08:02:19.3215379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3215456Z x = self.forward_features(x) 2025-09-07T08:02:19.3215673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3215741Z x = self.blocks(x) 2025-09-07T08:02:19.3215949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3216015Z x = self.conv_dw(x) 2025-09-07T08:02:19.3216207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3216305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3216512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3216606Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3216608Z 2025-09-07T08:02:19.3216713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3216895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3216956Z return mod(*inputs) 2025-09-07T08:02:19.3217157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3217221Z x = self.forward_features(x) 2025-09-07T08:02:19.3217475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3217565Z x = self.blocks(x) 2025-09-07T08:02:19.3217777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3217846Z x = self.conv_dw(x) 2025-09-07T08:02:19.3218036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3218139Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3218336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3218439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3218441Z 2025-09-07T08:02:19.3218539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3218721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3218795Z return mod(*inputs) 2025-09-07T08:02:19.3218994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3219065Z x = self.forward_features(x) 2025-09-07T08:02:19.3219283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3219342Z x = self.blocks(x) 2025-09-07T08:02:19.3219561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3219622Z x = self.conv_dw(x) 2025-09-07T08:02:19.3219819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3219917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3220119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3220225Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3220230Z 2025-09-07T08:02:19.3220328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3220519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3220579Z return mod(*inputs) 2025-09-07T08:02:19.3220783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3220848Z x = self.forward_features(x) 2025-09-07T08:02:19.3221065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3221134Z x = self.blocks(x) 2025-09-07T08:02:19.3221342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3221411Z x = self.conv_dw(x) 2025-09-07T08:02:19.3221601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3221699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3221904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3222002Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3222005Z 2025-09-07T08:02:19.3222110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3222296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3222360Z return mod(*inputs) 2025-09-07T08:02:19.3222564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3222630Z x = self.forward_features(x) 2025-09-07T08:02:19.3222889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3222995Z x = self.blocks(x) 2025-09-07T08:02:19.3223214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3223278Z x = self.conv_dw(x) 2025-09-07T08:02:19.3223471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3223576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3223777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3223881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3223884Z 2025-09-07T08:02:19.3223981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3224166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3224241Z return mod(*inputs) 2025-09-07T08:02:19.3224440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3224513Z x = self.forward_features(x) 2025-09-07T08:02:19.3224731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3224792Z x = self.blocks(x) 2025-09-07T08:02:19.3225016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3225078Z x = self.conv_dw(x) 2025-09-07T08:02:19.3225279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3225373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3225582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3225682Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3225687Z 2025-09-07T08:02:19.3225784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3225976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3226037Z return mod(*inputs) 2025-09-07T08:02:19.3226241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3226305Z x = self.forward_features(x) 2025-09-07T08:02:19.3226523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3226596Z x = self.blocks(x) 2025-09-07T08:02:19.3226805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3226873Z x = self.conv_dw(x) 2025-09-07T08:02:19.3227070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3227168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3227378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3227472Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3227475Z 2025-09-07T08:02:19.3227577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3227759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3227829Z return mod(*inputs) 2025-09-07T08:02:19.3228027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3228096Z x = self.forward_features(x) 2025-09-07T08:02:19.3228353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3228415Z x = self.blocks(x) 2025-09-07T08:02:19.3228675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3228735Z x = self.conv_dw(x) 2025-09-07T08:02:19.3228923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3229024Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3229221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3229321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3229324Z 2025-09-07T08:02:19.3229400Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3229478Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3229562Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3229637Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3229740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3229923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3229983Z return mod(*inputs) 2025-09-07T08:02:19.3230184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3230249Z x = self.forward_features(x) 2025-09-07T08:02:19.3230471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3230531Z x = self.blocks(x) 2025-09-07T08:02:19.3230738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3230856Z x = self.conv_dw(x) 2025-09-07T08:02:19.3231050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3231125Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3231130Z 2025-09-07T08:02:19.3231227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3231415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3231477Z return mod(*inputs) 2025-09-07T08:02:19.3231670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3231747Z x = self.forward_features(x) 2025-09-07T08:02:19.3231962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3232031Z x = self.blocks(x) 2025-09-07T08:02:19.3232238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3232299Z x = self.bn2(x) 2025-09-07T08:02:19.3232494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3232558Z x = F.batch_norm( 2025-09-07T08:02:19.3232561Z 2025-09-07T08:02:19.3232665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3232845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3232910Z return mod(*inputs) 2025-09-07T08:02:19.3233114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3233181Z x = self.forward_features(x) 2025-09-07T08:02:19.3233404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3233465Z x = self.blocks(x) 2025-09-07T08:02:19.3233671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3233746Z x = self.bn2(x) 2025-09-07T08:02:19.3233980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3234083Z x = self.act(x) 2025-09-07T08:02:19.3234086Z 2025-09-07T08:02:19.3234183Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3234375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3234437Z return mod(*inputs) 2025-09-07T08:02:19.3234638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3234714Z x = self.forward_features(x) 2025-09-07T08:02:19.3234937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3235006Z x = self.blocks(x) 2025-09-07T08:02:19.3235224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3235287Z x = self.se(x) 2025-09-07T08:02:19.3235512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3235582Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3235585Z 2025-09-07T08:02:19.3235692Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3235880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3235943Z return mod(*inputs) 2025-09-07T08:02:19.3236151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3236220Z x = self.forward_features(x) 2025-09-07T08:02:19.3236451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3236513Z x = self.blocks(x) 2025-09-07T08:02:19.3236728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3236799Z x = self.se(x) 2025-09-07T08:02:19.3237010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3237083Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3237086Z 2025-09-07T08:02:19.3237184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3237376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3237436Z return mod(*inputs) 2025-09-07T08:02:19.3237638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3237711Z x = self.forward_features(x) 2025-09-07T08:02:19.3237930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3237997Z x = self.blocks(x) 2025-09-07T08:02:19.3238212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3238273Z x = self.se(x) 2025-09-07T08:02:19.3238489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3238556Z return x * self.gate(x_se) 2025-09-07T08:02:19.3238559Z 2025-09-07T08:02:19.3238663Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3238849Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3238911Z return mod(*inputs) 2025-09-07T08:02:19.3239116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3239182Z x = self.forward_features(x) 2025-09-07T08:02:19.3239411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3239499Z x = self.blocks(x) 2025-09-07T08:02:19.3239742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3239801Z x = self.se(x) 2025-09-07T08:02:19.3240006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3240079Z return x * self.gate(x_se) 2025-09-07T08:02:19.3240082Z 2025-09-07T08:02:19.3240180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3240372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3240435Z return mod(*inputs) 2025-09-07T08:02:19.3240633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3240706Z x = self.forward_features(x) 2025-09-07T08:02:19.3240924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3240993Z x = self.blocks(x) 2025-09-07T08:02:19.3241203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3241261Z x = self.se(x) 2025-09-07T08:02:19.3241475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3241539Z return x * self.gate(x_se) 2025-09-07T08:02:19.3241542Z 2025-09-07T08:02:19.3241646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3241828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3241891Z return mod(*inputs) 2025-09-07T08:02:19.3242095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3242159Z x = self.forward_features(x) 2025-09-07T08:02:19.3242387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3242450Z x = self.blocks(x) 2025-09-07T08:02:19.3242664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3242729Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3242922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3243028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3243230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3243337Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3243340Z 2025-09-07T08:02:19.3243436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3243617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3243691Z return mod(*inputs) 2025-09-07T08:02:19.3243886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3243958Z x = self.forward_features(x) 2025-09-07T08:02:19.3244174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3244234Z x = self.blocks(x) 2025-09-07T08:02:19.3244454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3244520Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3244718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3244816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3245055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3245178Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3245181Z 2025-09-07T08:02:19.3245277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3245466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3245529Z return mod(*inputs) 2025-09-07T08:02:19.3245732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3245799Z x = self.forward_features(x) 2025-09-07T08:02:19.3246018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3246089Z x = self.blocks(x) 2025-09-07T08:02:19.3246296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3246371Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3246561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3249953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3250182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3250285Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3250289Z 2025-09-07T08:02:19.3250401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3250596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3250667Z return mod(*inputs) 2025-09-07T08:02:19.3250883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3250956Z x = self.forward_features(x) 2025-09-07T08:02:19.3251195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3251263Z x = self.blocks(x) 2025-09-07T08:02:19.3251480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3251583Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3251787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3251887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3252088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3252194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3252197Z 2025-09-07T08:02:19.3252278Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3252362Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3252464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3252660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3252732Z return mod(*inputs) 2025-09-07T08:02:19.3252939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3253007Z x = self.forward_features(x) 2025-09-07T08:02:19.3253232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3253292Z x = self.blocks(x) 2025-09-07T08:02:19.3253501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3253572Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3253764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3253836Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3253900Z 2025-09-07T08:02:19.3254016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3254212Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3254276Z return mod(*inputs) 2025-09-07T08:02:19.3254475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3254551Z x = self.forward_features(x) 2025-09-07T08:02:19.3254774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3254842Z x = self.blocks(x) 2025-09-07T08:02:19.3255054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3255127Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3255130Z 2025-09-07T08:02:19.3255238Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3255426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3255496Z return mod(*inputs) 2025-09-07T08:02:19.3255740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3255805Z x = self.forward_features(x) 2025-09-07T08:02:19.3256033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3256093Z x = self.blocks(x) 2025-09-07T08:02:19.3256309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3256373Z x = self.conv_pw(x) 2025-09-07T08:02:19.3256565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3256671Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3256876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3256982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3256987Z 2025-09-07T08:02:19.3257084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3257275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3257337Z return mod(*inputs) 2025-09-07T08:02:19.3257534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3257609Z x = self.forward_features(x) 2025-09-07T08:02:19.3257824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3257895Z x = self.blocks(x) 2025-09-07T08:02:19.3258111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3258176Z x = self.conv_pw(x) 2025-09-07T08:02:19.3258375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3258477Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3258683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3258782Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3258785Z 2025-09-07T08:02:19.3258880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3259069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3259130Z return mod(*inputs) 2025-09-07T08:02:19.3259333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3259431Z x = self.forward_features(x) 2025-09-07T08:02:19.3259658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3259736Z x = self.blocks(x) 2025-09-07T08:02:19.3259947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3260017Z x = self.conv_pw(x) 2025-09-07T08:02:19.3260209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3260314Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3260515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3260610Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3260613Z 2025-09-07T08:02:19.3260717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3260905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3260973Z return mod(*inputs) 2025-09-07T08:02:19.3261194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3261261Z x = self.forward_features(x) 2025-09-07T08:02:19.3261486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3261545Z x = self.blocks(x) 2025-09-07T08:02:19.3261763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3261826Z x = self.conv_pw(x) 2025-09-07T08:02:19.3262021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3262116Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3262317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3262421Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3262425Z 2025-09-07T08:02:19.3262504Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3262588Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3262682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3262864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3262936Z return mod(*inputs) 2025-09-07T08:02:19.3263132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3263206Z x = self.forward_features(x) 2025-09-07T08:02:19.3263421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3263482Z x = self.blocks(x) 2025-09-07T08:02:19.3263705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3263768Z x = self.conv_pw(x) 2025-09-07T08:02:19.3263968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3264033Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3264037Z 2025-09-07T08:02:19.3264132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3264323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3264386Z return mod(*inputs) 2025-09-07T08:02:19.3264588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3264651Z x = self.forward_features(x) 2025-09-07T08:02:19.3264907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3264969Z x = self.blocks(x) 2025-09-07T08:02:19.3265198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3265268Z x = self.conv_dw(x) 2025-09-07T08:02:19.3265457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3265560Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3265758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3265851Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3265854Z 2025-09-07T08:02:19.3265958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3266142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3266212Z return mod(*inputs) 2025-09-07T08:02:19.3266409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3266479Z x = self.forward_features(x) 2025-09-07T08:02:19.3266724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3266786Z x = self.blocks(x) 2025-09-07T08:02:19.3267002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3267065Z x = self.conv_dw(x) 2025-09-07T08:02:19.3267265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3267360Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3267560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3267668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3267673Z 2025-09-07T08:02:19.3267769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3267962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3268022Z return mod(*inputs) 2025-09-07T08:02:19.3268219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3268292Z x = self.forward_features(x) 2025-09-07T08:02:19.3268512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3268579Z x = self.blocks(x) 2025-09-07T08:02:19.3268793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3268852Z x = self.conv_dw(x) 2025-09-07T08:02:19.3269052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3269150Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3269356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3269450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3269452Z 2025-09-07T08:02:19.3269553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3269737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3269800Z return mod(*inputs) 2025-09-07T08:02:19.3270000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3270064Z x = self.forward_features(x) 2025-09-07T08:02:19.3270287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3270378Z x = self.blocks(x) 2025-09-07T08:02:19.3270600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3270669Z x = self.conv_dw(x) 2025-09-07T08:02:19.3270855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3270958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3271153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3271245Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3271257Z 2025-09-07T08:02:19.3271352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3271531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3271603Z return mod(*inputs) 2025-09-07T08:02:19.3271799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3271873Z x = self.forward_features(x) 2025-09-07T08:02:19.3272118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3272178Z x = self.blocks(x) 2025-09-07T08:02:19.3272397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3272457Z x = self.conv_dw(x) 2025-09-07T08:02:19.3272653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3272747Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3272947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3273051Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3273056Z 2025-09-07T08:02:19.3273151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3273340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3273405Z return mod(*inputs) 2025-09-07T08:02:19.3273600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3273675Z x = self.forward_features(x) 2025-09-07T08:02:19.3273892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3273959Z x = self.blocks(x) 2025-09-07T08:02:19.3274171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3274241Z x = self.conv_dw(x) 2025-09-07T08:02:19.3274433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3274530Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3274736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3274835Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3274837Z 2025-09-07T08:02:19.3274942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3275124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3275187Z return mod(*inputs) 2025-09-07T08:02:19.3275390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3275457Z x = self.forward_features(x) 2025-09-07T08:02:19.3275681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3275795Z x = self.blocks(x) 2025-09-07T08:02:19.3276018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3276089Z x = self.conv_dw(x) 2025-09-07T08:02:19.3276279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3276385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3276586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3276690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3276693Z 2025-09-07T08:02:19.3276789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3276975Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3277043Z return mod(*inputs) 2025-09-07T08:02:19.3277240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3277315Z x = self.forward_features(x) 2025-09-07T08:02:19.3277549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3277609Z x = self.blocks(x) 2025-09-07T08:02:19.3277826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3277888Z x = self.conv_dw(x) 2025-09-07T08:02:19.3278086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3278185Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3278385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3278496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3278498Z 2025-09-07T08:02:19.3278578Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3278665Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3278742Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3278815Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3278919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3279102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3279170Z return mod(*inputs) 2025-09-07T08:02:19.3279367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3279440Z x = self.forward_features(x) 2025-09-07T08:02:19.3279656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3279716Z x = self.blocks(x) 2025-09-07T08:02:19.3279934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3280000Z x = self.conv_dw(x) 2025-09-07T08:02:19.3280202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3280268Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3280272Z 2025-09-07T08:02:19.3280370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3280562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3280625Z return mod(*inputs) 2025-09-07T08:02:19.3280834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3280900Z x = self.forward_features(x) 2025-09-07T08:02:19.3281118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3281215Z x = self.blocks(x) 2025-09-07T08:02:19.3281429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3281515Z x = self.bn2(x) 2025-09-07T08:02:19.3281705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3281766Z x = F.batch_norm( 2025-09-07T08:02:19.3281778Z 2025-09-07T08:02:19.3281874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3282057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3282125Z return mod(*inputs) 2025-09-07T08:02:19.3282322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3282396Z x = self.forward_features(x) 2025-09-07T08:02:19.3282615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3282675Z x = self.blocks(x) 2025-09-07T08:02:19.3282894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3282971Z x = self.bn2(x) 2025-09-07T08:02:19.3283170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3283229Z x = self.act(x) 2025-09-07T08:02:19.3283232Z 2025-09-07T08:02:19.3283328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3283517Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3283579Z return mod(*inputs) 2025-09-07T08:02:19.3283783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3283848Z x = self.forward_features(x) 2025-09-07T08:02:19.3284070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3284141Z x = self.blocks(x) 2025-09-07T08:02:19.3284351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3284420Z x = self.se(x) 2025-09-07T08:02:19.3284630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3284695Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3284707Z 2025-09-07T08:02:19.3284803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3284985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3285056Z return mod(*inputs) 2025-09-07T08:02:19.3285252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3285329Z x = self.forward_features(x) 2025-09-07T08:02:19.3285550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3285612Z x = self.blocks(x) 2025-09-07T08:02:19.3285834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3285892Z x = self.se(x) 2025-09-07T08:02:19.3286111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3286178Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3286181Z 2025-09-07T08:02:19.3286277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3286467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3286531Z return mod(*inputs) 2025-09-07T08:02:19.3286735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3286829Z x = self.forward_features(x) 2025-09-07T08:02:19.3287058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3287128Z x = self.blocks(x) 2025-09-07T08:02:19.3287336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3287404Z x = self.se(x) 2025-09-07T08:02:19.3287612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3287682Z return x * self.gate(x_se) 2025-09-07T08:02:19.3287692Z 2025-09-07T08:02:19.3287787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3287967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3288039Z return mod(*inputs) 2025-09-07T08:02:19.3288236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3288312Z x = self.forward_features(x) 2025-09-07T08:02:19.3288526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3288606Z x = self.blocks(x) 2025-09-07T08:02:19.3288826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3288884Z x = self.se(x) 2025-09-07T08:02:19.3289100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3289168Z return x * self.gate(x_se) 2025-09-07T08:02:19.3289171Z 2025-09-07T08:02:19.3289266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3289462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3289526Z return mod(*inputs) 2025-09-07T08:02:19.3289733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3289799Z x = self.forward_features(x) 2025-09-07T08:02:19.3290018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3290089Z x = self.blocks(x) 2025-09-07T08:02:19.3290300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3290366Z x = self.se(x) 2025-09-07T08:02:19.3290574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3290639Z return x * self.gate(x_se) 2025-09-07T08:02:19.3290651Z 2025-09-07T08:02:19.3290747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3290932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3291005Z return mod(*inputs) 2025-09-07T08:02:19.3291203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3291279Z x = self.forward_features(x) 2025-09-07T08:02:19.3291495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3291555Z x = self.blocks(x) 2025-09-07T08:02:19.3291774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3291841Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3292043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3292142Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3292372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3292480Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3292507Z 2025-09-07T08:02:19.3292602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3292791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3292853Z return mod(*inputs) 2025-09-07T08:02:19.3293046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3293121Z x = self.forward_features(x) 2025-09-07T08:02:19.3293338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3293407Z x = self.blocks(x) 2025-09-07T08:02:19.3293615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3293687Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3293879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3293977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3294199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3294294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3294297Z 2025-09-07T08:02:19.3294401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3294582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3294643Z return mod(*inputs) 2025-09-07T08:02:19.3294849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3294915Z x = self.forward_features(x) 2025-09-07T08:02:19.3295142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3295204Z x = self.blocks(x) 2025-09-07T08:02:19.3295410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3295482Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3295670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3295775Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3295974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3296077Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3296079Z 2025-09-07T08:02:19.3296173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3296355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3296428Z return mod(*inputs) 2025-09-07T08:02:19.3296625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3296699Z x = self.forward_features(x) 2025-09-07T08:02:19.3296914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3296972Z x = self.blocks(x) 2025-09-07T08:02:19.3297191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3297255Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3297452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3297546Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3297742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3297880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3297897Z 2025-09-07T08:02:19.3297977Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3298064Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3298160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3298353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3298417Z return mod(*inputs) 2025-09-07T08:02:19.3298614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3298691Z x = self.forward_features(x) 2025-09-07T08:02:19.3298911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3298983Z x = self.blocks(x) 2025-09-07T08:02:19.3299198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3299262Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3299464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3299546Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3299549Z 2025-09-07T08:02:19.3299652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3299837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3299900Z return mod(*inputs) 2025-09-07T08:02:19.3300106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3300175Z x = self.forward_features(x) 2025-09-07T08:02:19.3300400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3300459Z x = self.blocks(x) 2025-09-07T08:02:19.3300671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3300750Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3300755Z 2025-09-07T08:02:19.3300851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3301040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3301102Z return mod(*inputs) 2025-09-07T08:02:19.3301306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3301372Z x = self.forward_features(x) 2025-09-07T08:02:19.3301588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3301655Z x = self.blocks(x) 2025-09-07T08:02:19.3301868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3301945Z x = self.bn1(x) 2025-09-07T08:02:19.3302131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3302191Z x = self.act(x) 2025-09-07T08:02:19.3302194Z 2025-09-07T08:02:19.3302300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3302483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3302555Z return mod(*inputs) 2025-09-07T08:02:19.3302749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3302816Z x = self.forward_features(x) 2025-09-07T08:02:19.3303044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3303103Z x = self.blocks(x) 2025-09-07T08:02:19.3303349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3303421Z x = self.bn1(x) 2025-09-07T08:02:19.3303607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3303679Z x = self.act(x) 2025-09-07T08:02:19.3303683Z 2025-09-07T08:02:19.3303778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3303971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3304035Z return mod(*inputs) 2025-09-07T08:02:19.3304239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3304305Z x = self.forward_features(x) 2025-09-07T08:02:19.3304517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3304589Z x = self.blocks(x) 2025-09-07T08:02:19.3304799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3304867Z x = self.bn2(x) 2025-09-07T08:02:19.3305050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3305126Z x = self.act(x) 2025-09-07T08:02:19.3305129Z 2025-09-07T08:02:19.3305234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3305416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3305484Z return mod(*inputs) 2025-09-07T08:02:19.3305678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3305745Z x = self.forward_features(x) 2025-09-07T08:02:19.3305972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3306031Z x = self.blocks(x) 2025-09-07T08:02:19.3306252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3306311Z x = self.bn2(x) 2025-09-07T08:02:19.3306497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3306563Z x = self.act(x) 2025-09-07T08:02:19.3306566Z 2025-09-07T08:02:19.3306643Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3306745Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3306924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3306992Z return mod(*inputs) 2025-09-07T08:02:19.3307186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3307255Z x = self.forward_features(x) 2025-09-07T08:02:19.3307481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3307544Z x = self.blocks(x) 2025-09-07T08:02:19.3307760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3307821Z x = self.se(x) 2025-09-07T08:02:19.3308029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:02:19.3308111Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:19.3308114Z 2025-09-07T08:02:19.3308209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3308397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3308461Z return mod(*inputs) 2025-09-07T08:02:19.3308654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3308729Z x = self.forward_features(x) 2025-09-07T08:02:19.3308971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3309052Z x = self.blocks(x) 2025-09-07T08:02:19.3309265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3309322Z x = self.se(x) 2025-09-07T08:02:19.3309539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3309603Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3309606Z 2025-09-07T08:02:19.3309708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3309892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3309962Z return mod(*inputs) 2025-09-07T08:02:19.3310158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3310228Z x = self.forward_features(x) 2025-09-07T08:02:19.3310454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3310532Z x = self.blocks(x) 2025-09-07T08:02:19.3310748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3310805Z x = self.se(x) 2025-09-07T08:02:19.3311011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3311085Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3311089Z 2025-09-07T08:02:19.3311186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3311376Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3311440Z return mod(*inputs) 2025-09-07T08:02:19.3311639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3311714Z x = self.forward_features(x) 2025-09-07T08:02:19.3311932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3312003Z x = self.blocks(x) 2025-09-07T08:02:19.3312210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3312268Z x = self.se(x) 2025-09-07T08:02:19.3312485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3312552Z return x * self.gate(x_se) 2025-09-07T08:02:19.3312555Z 2025-09-07T08:02:19.3312660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3312840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3312912Z return mod(*inputs) 2025-09-07T08:02:19.3313109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3313177Z x = self.forward_features(x) 2025-09-07T08:02:19.3313403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3313465Z x = self.blocks(x) 2025-09-07T08:02:19.3313677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3313733Z x = self.se(x) 2025-09-07T08:02:19.3313938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3314012Z return x * self.gate(x_se) 2025-09-07T08:02:19.3314015Z 2025-09-07T08:02:19.3314110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3314302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3314406Z return mod(*inputs) 2025-09-07T08:02:19.3314621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3314698Z x = self.forward_features(x) 2025-09-07T08:02:19.3314919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3314987Z x = self.blocks(x) 2025-09-07T08:02:19.3315193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3315256Z x = self.se(x) 2025-09-07T08:02:19.3315462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3315530Z return x * self.gate(x_se) 2025-09-07T08:02:19.3315533Z 2025-09-07T08:02:19.3315634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3315819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3315893Z return mod(*inputs) 2025-09-07T08:02:19.3316089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3316174Z x = self.forward_features(x) 2025-09-07T08:02:19.3316398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3316460Z x = self.blocks(x) 2025-09-07T08:02:19.3316678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3316743Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3316746Z 2025-09-07T08:02:19.3316842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3317032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3317093Z return mod(*inputs) 2025-09-07T08:02:19.3317298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3317368Z x = self.forward_features(x) 2025-09-07T08:02:19.3317586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3317656Z x = self.blocks(x) 2025-09-07T08:02:19.3317862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3317932Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3317935Z 2025-09-07T08:02:19.3318030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3318218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3318281Z return mod(*inputs) 2025-09-07T08:02:19.3318473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3318548Z x = self.forward_features(x) 2025-09-07T08:02:19.3318767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3318835Z x = self.blocks(x) 2025-09-07T08:02:19.3319042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3319103Z x = self.conv_pw(x) 2025-09-07T08:02:19.3319304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3319403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3319608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3319705Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3319708Z 2025-09-07T08:02:19.3319841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3320033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3320095Z return mod(*inputs) 2025-09-07T08:02:19.3320296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3320362Z x = self.forward_features(x) 2025-09-07T08:02:19.3320583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3320642Z x = self.blocks(x) 2025-09-07T08:02:19.3320848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3320918Z x = self.conv_pw(x) 2025-09-07T08:02:19.3321109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3321212Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3321411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3321526Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3321529Z 2025-09-07T08:02:19.3321633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3321814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3321887Z return mod(*inputs) 2025-09-07T08:02:19.3322082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3322149Z x = self.forward_features(x) 2025-09-07T08:02:19.3322374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3322435Z x = self.blocks(x) 2025-09-07T08:02:19.3322650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3322715Z x = self.conv_pw(x) 2025-09-07T08:02:19.3322917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3323018Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3323217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3323322Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3323325Z 2025-09-07T08:02:19.3323421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3323610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3323672Z return mod(*inputs) 2025-09-07T08:02:19.3323869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3323947Z x = self.forward_features(x) 2025-09-07T08:02:19.3324165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3324237Z x = self.blocks(x) 2025-09-07T08:02:19.3324445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3324508Z x = self.conv_pw(x) 2025-09-07T08:02:19.3324705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3324800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3325007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3325102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3325105Z 2025-09-07T08:02:19.3325191Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3325296Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3325409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3325599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3325662Z return mod(*inputs) 2025-09-07T08:02:19.3325869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3325936Z x = self.forward_features(x) 2025-09-07T08:02:19.3326154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3326227Z x = self.blocks(x) 2025-09-07T08:02:19.3326437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3326507Z x = self.conv_pw(x) 2025-09-07T08:02:19.3326701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3326767Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3326770Z 2025-09-07T08:02:19.3326875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3327075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3327143Z return mod(*inputs) 2025-09-07T08:02:19.3327335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3327401Z x = self.forward_features(x) 2025-09-07T08:02:19.3327626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3327686Z x = self.blocks(x) 2025-09-07T08:02:19.3327908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3327969Z x = self.conv_dw(x) 2025-09-07T08:02:19.3328170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3328268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3328468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3328570Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3328573Z 2025-09-07T08:02:19.3328668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3328860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3328920Z return mod(*inputs) 2025-09-07T08:02:19.3329115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3329187Z x = self.forward_features(x) 2025-09-07T08:02:19.3329408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3329476Z x = self.blocks(x) 2025-09-07T08:02:19.3329689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3329751Z x = self.conv_dw(x) 2025-09-07T08:02:19.3329946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3330042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3330249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3330344Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3330347Z 2025-09-07T08:02:19.3330450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3330641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3330734Z return mod(*inputs) 2025-09-07T08:02:19.3331046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3331120Z x = self.forward_features(x) 2025-09-07T08:02:19.3331386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3331449Z x = self.blocks(x) 2025-09-07T08:02:19.3331668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3331740Z x = self.conv_dw(x) 2025-09-07T08:02:19.3331978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3332085Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3332293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3332393Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3332406Z 2025-09-07T08:02:19.3332506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3332738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3332810Z return mod(*inputs) 2025-09-07T08:02:19.3333013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3333086Z x = self.forward_features(x) 2025-09-07T08:02:19.3333308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3333370Z x = self.blocks(x) 2025-09-07T08:02:19.3333591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3333652Z x = self.conv_dw(x) 2025-09-07T08:02:19.3333855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3333954Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3334162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3334269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3334272Z 2025-09-07T08:02:19.3334369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3334565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3334629Z return mod(*inputs) 2025-09-07T08:02:19.3334831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3334909Z x = self.forward_features(x) 2025-09-07T08:02:19.3335136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3335206Z x = self.blocks(x) 2025-09-07T08:02:19.3335425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3335497Z x = self.conv_dw(x) 2025-09-07T08:02:19.3335694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3335792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3336002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3336097Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3336100Z 2025-09-07T08:02:19.3336207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3336396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3336517Z return mod(*inputs) 2025-09-07T08:02:19.3336731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3336823Z x = self.forward_features(x) 2025-09-07T08:02:19.3337058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3337121Z x = self.blocks(x) 2025-09-07T08:02:19.3337343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3337415Z x = self.conv_dw(x) 2025-09-07T08:02:19.3337610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3337716Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3337920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3338028Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3338033Z 2025-09-07T08:02:19.3338134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3338341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3338413Z return mod(*inputs) 2025-09-07T08:02:19.3338616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3338691Z x = self.forward_features(x) 2025-09-07T08:02:19.3338918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3338981Z x = self.blocks(x) 2025-09-07T08:02:19.3339208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3339270Z x = self.conv_dw(x) 2025-09-07T08:02:19.3339477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3339575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3339787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3339895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3339897Z 2025-09-07T08:02:19.3339996Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3340191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3340250Z return mod(*inputs) 2025-09-07T08:02:19.3340458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3340526Z x = self.forward_features(x) 2025-09-07T08:02:19.3340750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3340820Z x = self.blocks(x) 2025-09-07T08:02:19.3341037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3341109Z x = self.conv_dw(x) 2025-09-07T08:02:19.3341304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3341399Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3341614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3341711Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3341714Z 2025-09-07T08:02:19.3341802Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3341882Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3341960Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3342069Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3342169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3342382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3342447Z return mod(*inputs) 2025-09-07T08:02:19.3342654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3342729Z x = self.forward_features(x) 2025-09-07T08:02:19.3342952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3343020Z x = self.blocks(x) 2025-09-07T08:02:19.3343232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3343301Z x = self.conv_dw(x) 2025-09-07T08:02:19.3343498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3343566Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3343571Z 2025-09-07T08:02:19.3343673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3343900Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3343968Z return mod(*inputs) 2025-09-07T08:02:19.3344160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3344226Z x = self.forward_features(x) 2025-09-07T08:02:19.3344449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3344507Z x = self.blocks(x) 2025-09-07T08:02:19.3344721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3344781Z x = self.bn2(x) 2025-09-07T08:02:19.3344965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3345034Z x = F.batch_norm( 2025-09-07T08:02:19.3345037Z 2025-09-07T08:02:19.3345131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3345321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3345384Z return mod(*inputs) 2025-09-07T08:02:19.3345579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3345653Z x = self.forward_features(x) 2025-09-07T08:02:19.3345869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3345936Z x = self.blocks(x) 2025-09-07T08:02:19.3346143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3346208Z x = self.bn2(x) 2025-09-07T08:02:19.3346392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3346453Z x = self.act(x) 2025-09-07T08:02:19.3346456Z 2025-09-07T08:02:19.3346560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3346743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3346813Z return mod(*inputs) 2025-09-07T08:02:19.3347005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3347071Z x = self.forward_features(x) 2025-09-07T08:02:19.3347297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3347357Z x = self.blocks(x) 2025-09-07T08:02:19.3347573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3347661Z x = self.se(x) 2025-09-07T08:02:19.3347869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3347959Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3347962Z 2025-09-07T08:02:19.3348056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3348244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3348306Z return mod(*inputs) 2025-09-07T08:02:19.3348500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3348576Z x = self.forward_features(x) 2025-09-07T08:02:19.3348789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3348856Z x = self.blocks(x) 2025-09-07T08:02:19.3349067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3349135Z x = self.se(x) 2025-09-07T08:02:19.3349339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3349421Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3349424Z 2025-09-07T08:02:19.3349530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3349712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3349783Z return mod(*inputs) 2025-09-07T08:02:19.3349979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3350045Z x = self.forward_features(x) 2025-09-07T08:02:19.3350270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3350330Z x = self.blocks(x) 2025-09-07T08:02:19.3350551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3350612Z x = self.se(x) 2025-09-07T08:02:19.3350820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3350897Z return x * self.gate(x_se) 2025-09-07T08:02:19.3350901Z 2025-09-07T08:02:19.3350999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3351190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3351260Z return mod(*inputs) 2025-09-07T08:02:19.3351459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3351534Z x = self.forward_features(x) 2025-09-07T08:02:19.3351752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3351820Z x = self.blocks(x) 2025-09-07T08:02:19.3352030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3352103Z x = self.se(x) 2025-09-07T08:02:19.3352309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3352374Z return x * self.gate(x_se) 2025-09-07T08:02:19.3352376Z 2025-09-07T08:02:19.3352480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3352663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3352733Z return mod(*inputs) 2025-09-07T08:02:19.3352928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3352993Z x = self.forward_features(x) 2025-09-07T08:02:19.3353247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3353321Z x = self.blocks(x) 2025-09-07T08:02:19.3353538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3353600Z x = self.se(x) 2025-09-07T08:02:19.3353808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3353883Z return x * self.gate(x_se) 2025-09-07T08:02:19.3353886Z 2025-09-07T08:02:19.3353961Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3354065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3354246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3354308Z return mod(*inputs) 2025-09-07T08:02:19.3354513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3354581Z x = self.forward_features(x) 2025-09-07T08:02:19.3354806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3354892Z x = self.blocks(x) 2025-09-07T08:02:19.3355108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3355173Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3355365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3355473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3355674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3355779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3355782Z 2025-09-07T08:02:19.3355876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3356061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3356135Z return mod(*inputs) 2025-09-07T08:02:19.3356330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3356402Z x = self.forward_features(x) 2025-09-07T08:02:19.3356617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3356676Z x = self.blocks(x) 2025-09-07T08:02:19.3356893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3356954Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3357151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3357246Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3357455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3357551Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3357555Z 2025-09-07T08:02:19.3357633Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3357737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3357921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3357990Z return mod(*inputs) 2025-09-07T08:02:19.3358183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3358247Z x = self.forward_features(x) 2025-09-07T08:02:19.3358470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3358531Z x = self.blocks(x) 2025-09-07T08:02:19.3358776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3358855Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3359049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3359156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3359359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3359461Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3359463Z 2025-09-07T08:02:19.3359560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3359754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3359817Z return mod(*inputs) 2025-09-07T08:02:19.3360021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3360096Z x = self.forward_features(x) 2025-09-07T08:02:19.3360319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3360401Z x = self.blocks(x) 2025-09-07T08:02:19.3360611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3360674Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3360870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3360968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3361177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3361273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3361276Z 2025-09-07T08:02:19.3361353Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3361440Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3361536Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3361726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3361787Z return mod(*inputs) 2025-09-07T08:02:19.3361981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3362055Z x = self.forward_features(x) 2025-09-07T08:02:19.3362271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3362342Z x = self.blocks(x) 2025-09-07T08:02:19.3362550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3362624Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3362816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3362881Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3362884Z 2025-09-07T08:02:19.3362988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3363168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3363239Z return mod(*inputs) 2025-09-07T08:02:19.3363432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3363497Z x = self.forward_features(x) 2025-09-07T08:02:19.3363723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3363783Z x = self.blocks(x) 2025-09-07T08:02:19.3363997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3364113Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3364116Z 2025-09-07T08:02:19.3364226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3364418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3364481Z return mod(*inputs) 2025-09-07T08:02:19.3364684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3364750Z x = self.forward_features(x) 2025-09-07T08:02:19.3364975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3365034Z x = self.blocks(x) 2025-09-07T08:02:19.3365243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3365313Z x = self.conv_pw(x) 2025-09-07T08:02:19.3365505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3365611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3365815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3365926Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3365929Z 2025-09-07T08:02:19.3366030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3366209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3366276Z return mod(*inputs) 2025-09-07T08:02:19.3366469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3366537Z x = self.forward_features(x) 2025-09-07T08:02:19.3366759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3366820Z x = self.blocks(x) 2025-09-07T08:02:19.3367036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3367101Z x = self.conv_pw(x) 2025-09-07T08:02:19.3367289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3367395Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3367593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3367696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3367699Z 2025-09-07T08:02:19.3367794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3367983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3368045Z return mod(*inputs) 2025-09-07T08:02:19.3368241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3368319Z x = self.forward_features(x) 2025-09-07T08:02:19.3368535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3368604Z x = self.blocks(x) 2025-09-07T08:02:19.3368811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3368871Z x = self.conv_pw(x) 2025-09-07T08:02:19.3369067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3369160Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3369366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3369460Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3369491Z 2025-09-07T08:02:19.3369609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3369793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3369859Z return mod(*inputs) 2025-09-07T08:02:19.3370073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3370141Z x = self.forward_features(x) 2025-09-07T08:02:19.3370374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3370438Z x = self.blocks(x) 2025-09-07T08:02:19.3370653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3370725Z x = self.conv_pw(x) 2025-09-07T08:02:19.3370923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3371032Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3371241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3371351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3371360Z 2025-09-07T08:02:19.3371438Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3371513Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3371618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3371798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3371860Z return mod(*inputs) 2025-09-07T08:02:19.3372064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3372131Z x = self.forward_features(x) 2025-09-07T08:02:19.3372356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3372417Z x = self.blocks(x) 2025-09-07T08:02:19.3372630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3372696Z x = self.conv_pw(x) 2025-09-07T08:02:19.3372885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3372960Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3372963Z 2025-09-07T08:02:19.3373059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3373249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3373311Z return mod(*inputs) 2025-09-07T08:02:19.3373505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3373579Z x = self.forward_features(x) 2025-09-07T08:02:19.3373796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3373865Z x = self.blocks(x) 2025-09-07T08:02:19.3374075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3374136Z x = self.conv_dw(x) 2025-09-07T08:02:19.3374329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3374425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3374628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3374723Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3374726Z 2025-09-07T08:02:19.3374830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3375036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3375122Z return mod(*inputs) 2025-09-07T08:02:19.3375328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3375396Z x = self.forward_features(x) 2025-09-07T08:02:19.3375621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3375682Z x = self.blocks(x) 2025-09-07T08:02:19.3375893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3375963Z x = self.conv_dw(x) 2025-09-07T08:02:19.3376151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3376252Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3376452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3376548Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3376565Z 2025-09-07T08:02:19.3376670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3376852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3376922Z return mod(*inputs) 2025-09-07T08:02:19.3377116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3377189Z x = self.forward_features(x) 2025-09-07T08:02:19.3377404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3377463Z x = self.blocks(x) 2025-09-07T08:02:19.3377680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3377744Z x = self.conv_dw(x) 2025-09-07T08:02:19.3377943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3378042Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3378240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3378343Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3378346Z 2025-09-07T08:02:19.3378441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3378632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3378694Z return mod(*inputs) 2025-09-07T08:02:19.3378890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3378966Z x = self.forward_features(x) 2025-09-07T08:02:19.3379185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3379255Z x = self.blocks(x) 2025-09-07T08:02:19.3379466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3379526Z x = self.conv_dw(x) 2025-09-07T08:02:19.3379726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3379820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3380028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3380120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3380123Z 2025-09-07T08:02:19.3380223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3380436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3380512Z return mod(*inputs) 2025-09-07T08:02:19.3380718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3380785Z x = self.forward_features(x) 2025-09-07T08:02:19.3381014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3381073Z x = self.blocks(x) 2025-09-07T08:02:19.3381286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3381357Z x = self.conv_dw(x) 2025-09-07T08:02:19.3381551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3381651Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3381855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3381953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3381975Z 2025-09-07T08:02:19.3382072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3382253Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3382322Z return mod(*inputs) 2025-09-07T08:02:19.3382518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3382589Z x = self.forward_features(x) 2025-09-07T08:02:19.3382805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3382867Z x = self.blocks(x) 2025-09-07T08:02:19.3383084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3383146Z x = self.conv_dw(x) 2025-09-07T08:02:19.3383347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3383442Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3383642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3383745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3383748Z 2025-09-07T08:02:19.3383846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3384037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3384098Z return mod(*inputs) 2025-09-07T08:02:19.3384304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3384372Z x = self.forward_features(x) 2025-09-07T08:02:19.3384594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3384667Z x = self.blocks(x) 2025-09-07T08:02:19.3384880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3384949Z x = self.conv_dw(x) 2025-09-07T08:02:19.3385142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3385235Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3385446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3385540Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3385542Z 2025-09-07T08:02:19.3385649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3385858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3385938Z return mod(*inputs) 2025-09-07T08:02:19.3386144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3386212Z x = self.forward_features(x) 2025-09-07T08:02:19.3386441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3386500Z x = self.blocks(x) 2025-09-07T08:02:19.3386720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3386782Z x = self.conv_dw(x) 2025-09-07T08:02:19.3386974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3387075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3387277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3387382Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3387385Z 2025-09-07T08:02:19.3387477Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3387552Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3387637Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3387711Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3387815Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3387998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3388059Z return mod(*inputs) 2025-09-07T08:02:19.3388269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3388335Z x = self.forward_features(x) 2025-09-07T08:02:19.3388561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3388622Z x = self.blocks(x) 2025-09-07T08:02:19.3388832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3388904Z x = self.conv_dw(x) 2025-09-07T08:02:19.3389094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3389165Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3389168Z 2025-09-07T08:02:19.3389265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3389449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3389520Z return mod(*inputs) 2025-09-07T08:02:19.3389714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3389788Z x = self.forward_features(x) 2025-09-07T08:02:19.3390009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3390078Z x = self.blocks(x) 2025-09-07T08:02:19.3390287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3390348Z x = self.bn2(x) 2025-09-07T08:02:19.3390540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3390600Z x = F.batch_norm( 2025-09-07T08:02:19.3390603Z 2025-09-07T08:02:19.3390708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3390890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3390952Z return mod(*inputs) 2025-09-07T08:02:19.3391158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3391224Z x = self.forward_features(x) 2025-09-07T08:02:19.3391478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3391555Z x = self.blocks(x) 2025-09-07T08:02:19.3391768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3391837Z x = self.bn2(x) 2025-09-07T08:02:19.3392023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3392089Z x = self.act(x) 2025-09-07T08:02:19.3392093Z 2025-09-07T08:02:19.3392190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3392371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3392442Z return mod(*inputs) 2025-09-07T08:02:19.3392638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3392713Z x = self.forward_features(x) 2025-09-07T08:02:19.3392935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3393017Z x = self.blocks(x) 2025-09-07T08:02:19.3393226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3393286Z x = self.se(x) 2025-09-07T08:02:19.3393500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3393565Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3393568Z 2025-09-07T08:02:19.3393671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3393852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3393914Z return mod(*inputs) 2025-09-07T08:02:19.3394118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3394185Z x = self.forward_features(x) 2025-09-07T08:02:19.3394410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3394473Z x = self.blocks(x) 2025-09-07T08:02:19.3394680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3394746Z x = self.se(x) 2025-09-07T08:02:19.3394954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3395026Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3395030Z 2025-09-07T08:02:19.3395124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3395303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3395370Z return mod(*inputs) 2025-09-07T08:02:19.3395567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3395645Z x = self.forward_features(x) 2025-09-07T08:02:19.3395863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3395935Z x = self.blocks(x) 2025-09-07T08:02:19.3396145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3396202Z x = self.se(x) 2025-09-07T08:02:19.3396417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3396484Z return x * self.gate(x_se) 2025-09-07T08:02:19.3396487Z 2025-09-07T08:02:19.3396590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3396770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3396875Z return mod(*inputs) 2025-09-07T08:02:19.3397095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3397164Z x = self.forward_features(x) 2025-09-07T08:02:19.3397388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3397451Z x = self.blocks(x) 2025-09-07T08:02:19.3397657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3397724Z x = self.se(x) 2025-09-07T08:02:19.3397930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3398006Z return x * self.gate(x_se) 2025-09-07T08:02:19.3398008Z 2025-09-07T08:02:19.3398105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3398301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3398367Z return mod(*inputs) 2025-09-07T08:02:19.3398566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3398658Z x = self.forward_features(x) 2025-09-07T08:02:19.3398876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3398946Z x = self.blocks(x) 2025-09-07T08:02:19.3399156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3399214Z x = self.se(x) 2025-09-07T08:02:19.3399429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3399496Z return x * self.gate(x_se) 2025-09-07T08:02:19.3399499Z 2025-09-07T08:02:19.3399607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3399789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3399854Z return mod(*inputs) 2025-09-07T08:02:19.3400061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3400126Z x = self.forward_features(x) 2025-09-07T08:02:19.3400356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3400417Z x = self.blocks(x) 2025-09-07T08:02:19.3400628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3400697Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3400892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3400999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3401204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3401308Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3401313Z 2025-09-07T08:02:19.3401407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3401588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3401657Z return mod(*inputs) 2025-09-07T08:02:19.3401849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3401921Z x = self.forward_features(x) 2025-09-07T08:02:19.3402140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3402200Z x = self.blocks(x) 2025-09-07T08:02:19.3402447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3402527Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3402720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3402820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3403017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3403117Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3403120Z 2025-09-07T08:02:19.3403214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3403406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3403470Z return mod(*inputs) 2025-09-07T08:02:19.3403668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3403739Z x = self.forward_features(x) 2025-09-07T08:02:19.3403954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3404035Z x = self.blocks(x) 2025-09-07T08:02:19.3404243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3404313Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3404503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3404594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3404800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3404896Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3404899Z 2025-09-07T08:02:19.3405000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3405187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3405249Z return mod(*inputs) 2025-09-07T08:02:19.3405453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3405522Z x = self.forward_features(x) 2025-09-07T08:02:19.3405743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3405804Z x = self.blocks(x) 2025-09-07T08:02:19.3406017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3406076Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3406267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3406369Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3406569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3406666Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3406671Z 2025-09-07T08:02:19.3406748Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3406821Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3406923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3407104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3407172Z return mod(*inputs) 2025-09-07T08:02:19.3407370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3407436Z x = self.forward_features(x) 2025-09-07T08:02:19.3407660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3407761Z x = self.blocks(x) 2025-09-07T08:02:19.3407993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3408057Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3408248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3408317Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3408320Z 2025-09-07T08:02:19.3408415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3408609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3408670Z return mod(*inputs) 2025-09-07T08:02:19.3408868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3408935Z x = self.forward_features(x) 2025-09-07T08:02:19.3409152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3409221Z x = self.blocks(x) 2025-09-07T08:02:19.3409430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3409524Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3409527Z 2025-09-07T08:02:19.3409623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3409804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3409876Z return mod(*inputs) 2025-09-07T08:02:19.3410066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3410141Z x = self.forward_features(x) 2025-09-07T08:02:19.3410354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3410416Z x = self.blocks(x) 2025-09-07T08:02:19.3410631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3410694Z x = self.conv_pw(x) 2025-09-07T08:02:19.3410890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3410982Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3411192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3411287Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3411290Z 2025-09-07T08:02:19.3411382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3411569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3411631Z return mod(*inputs) 2025-09-07T08:02:19.3411833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3411899Z x = self.forward_features(x) 2025-09-07T08:02:19.3412115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3412185Z x = self.blocks(x) 2025-09-07T08:02:19.3412390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3412459Z x = self.conv_pw(x) 2025-09-07T08:02:19.3412647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3412741Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3412943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3413037Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3413041Z 2025-09-07T08:02:19.3413171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3413372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3413439Z return mod(*inputs) 2025-09-07T08:02:19.3413637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3413703Z x = self.forward_features(x) 2025-09-07T08:02:19.3413927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3413984Z x = self.blocks(x) 2025-09-07T08:02:19.3414205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3414267Z x = self.conv_pw(x) 2025-09-07T08:02:19.3414453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3414559Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3414767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3414881Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3414884Z 2025-09-07T08:02:19.3414981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3415165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3415232Z return mod(*inputs) 2025-09-07T08:02:19.3415424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3415495Z x = self.forward_features(x) 2025-09-07T08:02:19.3415707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3415775Z x = self.blocks(x) 2025-09-07T08:02:19.3415988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3416050Z x = self.conv_pw(x) 2025-09-07T08:02:19.3416250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3416342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3416547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3416642Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3416645Z 2025-09-07T08:02:19.3416721Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3416803Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3416894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3417080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3417143Z return mod(*inputs) 2025-09-07T08:02:19.3417337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3417408Z x = self.forward_features(x) 2025-09-07T08:02:19.3417622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3417687Z x = self.blocks(x) 2025-09-07T08:02:19.3417893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T08:02:19.3417955Z x = self.conv_pw(x) 2025-09-07T08:02:19.3418148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3418211Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3418214Z 2025-09-07T08:02:19.3418316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3418532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3418617Z return mod(*inputs) 2025-09-07T08:02:19.3418809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3418875Z x = self.forward_features(x) 2025-09-07T08:02:19.3419097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3419155Z x = self.blocks(x) 2025-09-07T08:02:19.3419370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3419426Z x = self.conv_dw(x) 2025-09-07T08:02:19.3419614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3419714Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3419915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3420016Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3420019Z 2025-09-07T08:02:19.3420133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3420313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3420384Z return mod(*inputs) 2025-09-07T08:02:19.3420579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3420651Z x = self.forward_features(x) 2025-09-07T08:02:19.3420866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3420933Z x = self.blocks(x) 2025-09-07T08:02:19.3421143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3421204Z x = self.conv_dw(x) 2025-09-07T08:02:19.3421408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3421507Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3421716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3421811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3421814Z 2025-09-07T08:02:19.3421911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3422102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3422164Z return mod(*inputs) 2025-09-07T08:02:19.3422368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3422435Z x = self.forward_features(x) 2025-09-07T08:02:19.3422654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3422722Z x = self.blocks(x) 2025-09-07T08:02:19.3422935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3423008Z x = self.conv_dw(x) 2025-09-07T08:02:19.3423197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3423291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3423502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3423597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3423600Z 2025-09-07T08:02:19.3423704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3423911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3423997Z return mod(*inputs) 2025-09-07T08:02:19.3424195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3424265Z x = self.forward_features(x) 2025-09-07T08:02:19.3424493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3424554Z x = self.blocks(x) 2025-09-07T08:02:19.3424845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3446862Z x = self.conv_dw(x) 2025-09-07T08:02:19.3447196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3447319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3447553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3447661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3447667Z 2025-09-07T08:02:19.3447781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3448069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3448142Z return mod(*inputs) 2025-09-07T08:02:19.3448352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3448420Z x = self.forward_features(x) 2025-09-07T08:02:19.3448659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3448723Z x = self.blocks(x) 2025-09-07T08:02:19.3448944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3449003Z x = self.conv_dw(x) 2025-09-07T08:02:19.3449201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3449311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3449512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3449607Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3449612Z 2025-09-07T08:02:19.3449709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3449897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3449957Z return mod(*inputs) 2025-09-07T08:02:19.3450154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3450227Z x = self.forward_features(x) 2025-09-07T08:02:19.3450450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3450515Z x = self.blocks(x) 2025-09-07T08:02:19.3450729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3450788Z x = self.conv_dw(x) 2025-09-07T08:02:19.3450985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3451076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3451278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3451372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3451376Z 2025-09-07T08:02:19.3451478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3451733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3451797Z return mod(*inputs) 2025-09-07T08:02:19.3452026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3452093Z x = self.forward_features(x) 2025-09-07T08:02:19.3452321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3452384Z x = self.blocks(x) 2025-09-07T08:02:19.3452596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3452667Z x = self.conv_dw(x) 2025-09-07T08:02:19.3452859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3452962Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3453168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3453266Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3453270Z 2025-09-07T08:02:19.3453376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3453590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3453663Z return mod(*inputs) 2025-09-07T08:02:19.3453857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3453929Z x = self.forward_features(x) 2025-09-07T08:02:19.3454138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3454196Z x = self.blocks(x) 2025-09-07T08:02:19.3454408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3454466Z x = self.conv_dw(x) 2025-09-07T08:02:19.3454663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3454755Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3454949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3455044Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3455048Z 2025-09-07T08:02:19.3455125Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3455213Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3455286Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3455355Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3455456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3455640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3455706Z return mod(*inputs) 2025-09-07T08:02:19.3455910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3455980Z x = self.forward_features(x) 2025-09-07T08:02:19.3456203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3456264Z x = self.blocks(x) 2025-09-07T08:02:19.3456477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3456538Z x = self.conv_dw(x) 2025-09-07T08:02:19.3456725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3456796Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3456799Z 2025-09-07T08:02:19.3456896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3457082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3457190Z return mod(*inputs) 2025-09-07T08:02:19.3457401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3457471Z x = self.forward_features(x) 2025-09-07T08:02:19.3457681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3457751Z x = self.blocks(x) 2025-09-07T08:02:19.3457957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3458020Z x = self.bn2(x) 2025-09-07T08:02:19.3458208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T08:02:19.3458265Z x = F.batch_norm( 2025-09-07T08:02:19.3458268Z 2025-09-07T08:02:19.3458375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3458555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3458622Z return mod(*inputs) 2025-09-07T08:02:19.3458819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3458902Z x = self.forward_features(x) 2025-09-07T08:02:19.3459125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3459181Z x = self.blocks(x) 2025-09-07T08:02:19.3459396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:02:19.3459457Z x = self.bn2(x) 2025-09-07T08:02:19.3459642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3459706Z x = self.act(x) 2025-09-07T08:02:19.3459710Z 2025-09-07T08:02:19.3459807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3459994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3460061Z return mod(*inputs) 2025-09-07T08:02:19.3460265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3460334Z x = self.forward_features(x) 2025-09-07T08:02:19.3460551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3460619Z x = self.blocks(x) 2025-09-07T08:02:19.3460830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3460896Z x = self.se(x) 2025-09-07T08:02:19.3461100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3461167Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3461170Z 2025-09-07T08:02:19.3461275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3461458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3461524Z return mod(*inputs) 2025-09-07T08:02:19.3461720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3461786Z x = self.forward_features(x) 2025-09-07T08:02:19.3462016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3462076Z x = self.blocks(x) 2025-09-07T08:02:19.3462294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3462353Z x = self.se(x) 2025-09-07T08:02:19.3462568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3462635Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3462664Z 2025-09-07T08:02:19.3462763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3462976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3463040Z return mod(*inputs) 2025-09-07T08:02:19.3463244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3463305Z x = self.forward_features(x) 2025-09-07T08:02:19.3463526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3463599Z x = self.blocks(x) 2025-09-07T08:02:19.3463809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3463873Z x = self.se(x) 2025-09-07T08:02:19.3464083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3464155Z return x * self.gate(x_se) 2025-09-07T08:02:19.3464159Z 2025-09-07T08:02:19.3464260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3464463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3464539Z return mod(*inputs) 2025-09-07T08:02:19.3464736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3464806Z x = self.forward_features(x) 2025-09-07T08:02:19.3465033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3465098Z x = self.blocks(x) 2025-09-07T08:02:19.3465315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3465373Z x = self.se(x) 2025-09-07T08:02:19.3465585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3465663Z return x * self.gate(x_se) 2025-09-07T08:02:19.3465666Z 2025-09-07T08:02:19.3465765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3465957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3466021Z return mod(*inputs) 2025-09-07T08:02:19.3466224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3466294Z x = self.forward_features(x) 2025-09-07T08:02:19.3466513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3466586Z x = self.blocks(x) 2025-09-07T08:02:19.3466797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3466859Z x = self.se(x) 2025-09-07T08:02:19.3467070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3467142Z return x * self.gate(x_se) 2025-09-07T08:02:19.3467146Z 2025-09-07T08:02:19.3467254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3467436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3467510Z return mod(*inputs) 2025-09-07T08:02:19.3467708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3467774Z x = self.forward_features(x) 2025-09-07T08:02:19.3468001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3468065Z x = self.blocks(x) 2025-09-07T08:02:19.3468322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3468389Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3468604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3468706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3468904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3469004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3469007Z 2025-09-07T08:02:19.3469104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3469290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3469351Z return mod(*inputs) 2025-09-07T08:02:19.3469542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3469617Z x = self.forward_features(x) 2025-09-07T08:02:19.3469836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3469902Z x = self.blocks(x) 2025-09-07T08:02:19.3470133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3470198Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3470398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3470496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3470700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3470794Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3470797Z 2025-09-07T08:02:19.3470901Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3471086Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3471150Z return mod(*inputs) 2025-09-07T08:02:19.3471355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3471422Z x = self.forward_features(x) 2025-09-07T08:02:19.3471645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3471703Z x = self.blocks(x) 2025-09-07T08:02:19.3471910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3471982Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3472170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3472275Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3472479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3472576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3472589Z 2025-09-07T08:02:19.3472684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3472867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3472941Z return mod(*inputs) 2025-09-07T08:02:19.3473135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3473208Z x = self.forward_features(x) 2025-09-07T08:02:19.3473422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3473483Z x = self.blocks(x) 2025-09-07T08:02:19.3473700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3473793Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3474007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3474105Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3474304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3474407Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3474410Z 2025-09-07T08:02:19.3474488Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3474572Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3474668Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3474853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3474927Z return mod(*inputs) 2025-09-07T08:02:19.3475125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3475201Z x = self.forward_features(x) 2025-09-07T08:02:19.3475416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3475490Z x = self.blocks(x) 2025-09-07T08:02:19.3475707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3475770Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3475974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3476040Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3476043Z 2025-09-07T08:02:19.3476145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3476326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3476389Z return mod(*inputs) 2025-09-07T08:02:19.3476595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3476660Z x = self.forward_features(x) 2025-09-07T08:02:19.3476885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3476948Z x = self.blocks(x) 2025-09-07T08:02:19.3477154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3477231Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3477234Z 2025-09-07T08:02:19.3477330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3477515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3477575Z return mod(*inputs) 2025-09-07T08:02:19.3477771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3477842Z x = self.forward_features(x) 2025-09-07T08:02:19.3478059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3478131Z x = self.blocks(x) 2025-09-07T08:02:19.3478337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3478402Z x = self.bn1(x) 2025-09-07T08:02:19.3478589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3478649Z x = self.act(x) 2025-09-07T08:02:19.3478652Z 2025-09-07T08:02:19.3478757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3478938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3479008Z return mod(*inputs) 2025-09-07T08:02:19.3479224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3479308Z x = self.forward_features(x) 2025-09-07T08:02:19.3479538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3479603Z x = self.blocks(x) 2025-09-07T08:02:19.3479821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3479879Z x = self.bn1(x) 2025-09-07T08:02:19.3480069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3480136Z x = self.act(x) 2025-09-07T08:02:19.3480139Z 2025-09-07T08:02:19.3480237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3480430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3480492Z return mod(*inputs) 2025-09-07T08:02:19.3480691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3480770Z x = self.forward_features(x) 2025-09-07T08:02:19.3481001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3481072Z x = self.blocks(x) 2025-09-07T08:02:19.3481281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3481343Z x = self.conv_dw(x) 2025-09-07T08:02:19.3481538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3481638Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3481849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3481953Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3482154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3482216Z return conv2d_same( 2025-09-07T08:02:19.3482420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3482522Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3482717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3482860Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3483048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3483144Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3483147Z 2025-09-07T08:02:19.3483242Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3483434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3483497Z return mod(*inputs) 2025-09-07T08:02:19.3483701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3483767Z x = self.forward_features(x) 2025-09-07T08:02:19.3483987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3484047Z x = self.blocks(x) 2025-09-07T08:02:19.3484255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3484321Z x = self.conv_dw(x) 2025-09-07T08:02:19.3484509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3484611Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3485253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3485370Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3485570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3485632Z return conv2d_same( 2025-09-07T08:02:19.3485836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3485966Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3485970Z 2025-09-07T08:02:19.3486067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3486255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3486318Z return mod(*inputs) 2025-09-07T08:02:19.3486521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3486590Z x = self.forward_features(x) 2025-09-07T08:02:19.3486812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3486900Z x = self.blocks(x) 2025-09-07T08:02:19.3487112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3487183Z x = self.conv_dw(x) 2025-09-07T08:02:19.3487373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3487478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3487677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3487772Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3487973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3488037Z return conv2d_same( 2025-09-07T08:02:19.3488246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3488377Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3488380Z 2025-09-07T08:02:19.3488477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3488663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3488726Z return mod(*inputs) 2025-09-07T08:02:19.3488932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3488997Z x = self.forward_features(x) 2025-09-07T08:02:19.3489225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3489289Z x = self.blocks(x) 2025-09-07T08:02:19.3489500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3489569Z x = self.conv_dw(x) 2025-09-07T08:02:19.3489758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3489859Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3490060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3490155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3490352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3490413Z return conv2d_same( 2025-09-07T08:02:19.3490644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3490757Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3490944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3491090Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3491271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3491375Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3491378Z 2025-09-07T08:02:19.3491475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3491667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3491729Z return mod(*inputs) 2025-09-07T08:02:19.3491925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3492005Z x = self.forward_features(x) 2025-09-07T08:02:19.3492224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3492309Z x = self.blocks(x) 2025-09-07T08:02:19.3492521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3492584Z x = self.conv_dw(x) 2025-09-07T08:02:19.3492781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3492880Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3493086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3493183Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3493373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3493444Z return conv2d_same( 2025-09-07T08:02:19.3493644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3493777Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3493780Z 2025-09-07T08:02:19.3493879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3494069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3494130Z return mod(*inputs) 2025-09-07T08:02:19.3494328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3494405Z x = self.forward_features(x) 2025-09-07T08:02:19.3494625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3494691Z x = self.blocks(x) 2025-09-07T08:02:19.3494907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3494969Z x = self.conv_dw(x) 2025-09-07T08:02:19.3495169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3495264Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3495471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3495566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3495756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3495824Z return conv2d_same( 2025-09-07T08:02:19.3496020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3496172Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3496192Z 2025-09-07T08:02:19.3496291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3496479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3496539Z return mod(*inputs) 2025-09-07T08:02:19.3496741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3496812Z x = self.forward_features(x) 2025-09-07T08:02:19.3497031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3497094Z x = self.blocks(x) 2025-09-07T08:02:19.3497305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3497367Z x = self.conv_dw(x) 2025-09-07T08:02:19.3497568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3497665Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3497887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3497981Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3498166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3498233Z return conv2d_same( 2025-09-07T08:02:19.3498430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3498532Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3498714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3498855Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3499035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3499129Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3499132Z 2025-09-07T08:02:19.3499235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3499414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3499482Z return mod(*inputs) 2025-09-07T08:02:19.3499677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3499746Z x = self.forward_features(x) 2025-09-07T08:02:19.3499967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3500029Z x = self.blocks(x) 2025-09-07T08:02:19.3500248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3500310Z x = self.conv_dw(x) 2025-09-07T08:02:19.3500497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3500601Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3500795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3500895Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3501079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3501148Z return conv2d_same( 2025-09-07T08:02:19.3501342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3501488Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3501492Z 2025-09-07T08:02:19.3501609Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3501801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3501873Z return mod(*inputs) 2025-09-07T08:02:19.3502067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3502134Z x = self.forward_features(x) 2025-09-07T08:02:19.3502362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3502421Z x = self.blocks(x) 2025-09-07T08:02:19.3502640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3502702Z x = self.conv_dw(x) 2025-09-07T08:02:19.3502897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3503004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3503203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3503321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3503506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3503574Z return conv2d_same( 2025-09-07T08:02:19.3503771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3503886Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3503890Z 2025-09-07T08:02:19.3503994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3504172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3504243Z return mod(*inputs) 2025-09-07T08:02:19.3504439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3504506Z x = self.forward_features(x) 2025-09-07T08:02:19.3504731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3504791Z x = self.blocks(x) 2025-09-07T08:02:19.3505003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3505063Z x = self.conv_dw(x) 2025-09-07T08:02:19.3505248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3505351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3505549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3505650Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3505839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3505909Z return conv2d_same( 2025-09-07T08:02:19.3506108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T08:02:19.3506204Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T08:02:19.3506394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T08:02:19.3506522Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T08:02:19.3506706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:02:19.3506799Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:02:19.3506802Z 2025-09-07T08:02:19.3506923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3507133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3507197Z return mod(*inputs) 2025-09-07T08:02:19.3507401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3507468Z x = self.forward_features(x) 2025-09-07T08:02:19.3507680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3507748Z x = self.blocks(x) 2025-09-07T08:02:19.3507954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3508020Z x = self.conv_dw(x) 2025-09-07T08:02:19.3508208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3508313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3508510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3508620Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3508817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3508878Z return conv2d_same( 2025-09-07T08:02:19.3509081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3509198Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3509201Z 2025-09-07T08:02:19.3509299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3509484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3509551Z return mod(*inputs) 2025-09-07T08:02:19.3509750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3509826Z x = self.forward_features(x) 2025-09-07T08:02:19.3510043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3510112Z x = self.blocks(x) 2025-09-07T08:02:19.3510322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3510382Z x = self.conv_dw(x) 2025-09-07T08:02:19.3510581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3510679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3510884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3510983Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3511180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T08:02:19.3511242Z return conv2d_same( 2025-09-07T08:02:19.3511437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T08:02:19.3511564Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T08:02:19.3511567Z 2025-09-07T08:02:19.3511644Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3511727Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3511802Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3511875Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3511980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3512159Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3512257Z return mod(*inputs) 2025-09-07T08:02:19.3512455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3512539Z x = self.forward_features(x) 2025-09-07T08:02:19.3512765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3512824Z x = self.blocks(x) 2025-09-07T08:02:19.3513042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3513103Z x = self.conv_dw(x) 2025-09-07T08:02:19.3513293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3513365Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3513368Z 2025-09-07T08:02:19.3513440Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3513542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3513728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3513792Z return mod(*inputs) 2025-09-07T08:02:19.3513992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3514072Z x = self.forward_features(x) 2025-09-07T08:02:19.3514300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3514360Z x = self.blocks(x) 2025-09-07T08:02:19.3514571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3514629Z x = self.se(x) 2025-09-07T08:02:19.3514838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:02:19.3514917Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:19.3514920Z 2025-09-07T08:02:19.3515018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3515205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3515267Z return mod(*inputs) 2025-09-07T08:02:19.3515462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3515535Z x = self.forward_features(x) 2025-09-07T08:02:19.3515753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3515819Z x = self.blocks(x) 2025-09-07T08:02:19.3516028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3516086Z x = self.se(x) 2025-09-07T08:02:19.3516300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3516367Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3516373Z 2025-09-07T08:02:19.3516478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3516661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3516723Z return mod(*inputs) 2025-09-07T08:02:19.3516924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3516988Z x = self.forward_features(x) 2025-09-07T08:02:19.3517211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3517269Z x = self.blocks(x) 2025-09-07T08:02:19.3517487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3517543Z x = self.se(x) 2025-09-07T08:02:19.3517779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3517854Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3517872Z 2025-09-07T08:02:19.3517969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3518161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3518222Z return mod(*inputs) 2025-09-07T08:02:19.3518418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3518488Z x = self.forward_features(x) 2025-09-07T08:02:19.3518701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3518767Z x = self.blocks(x) 2025-09-07T08:02:19.3518972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3519030Z x = self.se(x) 2025-09-07T08:02:19.3519246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3519315Z return x * self.gate(x_se) 2025-09-07T08:02:19.3519318Z 2025-09-07T08:02:19.3519437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3519620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3519687Z return mod(*inputs) 2025-09-07T08:02:19.3519883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3519948Z x = self.forward_features(x) 2025-09-07T08:02:19.3520170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3520228Z x = self.blocks(x) 2025-09-07T08:02:19.3520442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3520500Z x = self.se(x) 2025-09-07T08:02:19.3520708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3520784Z return x * self.gate(x_se) 2025-09-07T08:02:19.3520788Z 2025-09-07T08:02:19.3520885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3521073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3521134Z return mod(*inputs) 2025-09-07T08:02:19.3521329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3521401Z x = self.forward_features(x) 2025-09-07T08:02:19.3521617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3521680Z x = self.blocks(x) 2025-09-07T08:02:19.3521889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3521946Z x = self.se(x) 2025-09-07T08:02:19.3522161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3522229Z return x * self.gate(x_se) 2025-09-07T08:02:19.3522232Z 2025-09-07T08:02:19.3522336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3522518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3522585Z return mod(*inputs) 2025-09-07T08:02:19.3522778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3522849Z x = self.forward_features(x) 2025-09-07T08:02:19.3523074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3523132Z x = self.blocks(x) 2025-09-07T08:02:19.3523370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3523458Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3523460Z 2025-09-07T08:02:19.3523559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3523748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3523808Z return mod(*inputs) 2025-09-07T08:02:19.3524007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3524071Z x = self.forward_features(x) 2025-09-07T08:02:19.3524288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3524356Z x = self.blocks(x) 2025-09-07T08:02:19.3524563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3524640Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3524643Z 2025-09-07T08:02:19.3524741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3524922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3525016Z return mod(*inputs) 2025-09-07T08:02:19.3525210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3525287Z x = self.forward_features(x) 2025-09-07T08:02:19.3525505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3525564Z x = self.blocks(x) 2025-09-07T08:02:19.3525781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3525840Z x = self.bn1(x) 2025-09-07T08:02:19.3526035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3526094Z x = self.act(x) 2025-09-07T08:02:19.3526099Z 2025-09-07T08:02:19.3526200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3526385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3526447Z return mod(*inputs) 2025-09-07T08:02:19.3526650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3526715Z x = self.forward_features(x) 2025-09-07T08:02:19.3526940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3527001Z x = self.blocks(x) 2025-09-07T08:02:19.3527210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3527277Z x = self.bn1(x) 2025-09-07T08:02:19.3527467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3527531Z x = self.act(x) 2025-09-07T08:02:19.3527534Z 2025-09-07T08:02:19.3527631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3527815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3527884Z return mod(*inputs) 2025-09-07T08:02:19.3528078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3528149Z x = self.forward_features(x) 2025-09-07T08:02:19.3528363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3528423Z x = self.blocks(x) 2025-09-07T08:02:19.3528640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3528700Z x = self.conv_dw(x) 2025-09-07T08:02:19.3528931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3529046Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3529256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3529356Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3529359Z 2025-09-07T08:02:19.3529453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3529643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3529705Z return mod(*inputs) 2025-09-07T08:02:19.3529909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3529976Z x = self.forward_features(x) 2025-09-07T08:02:19.3530194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3530262Z x = self.blocks(x) 2025-09-07T08:02:19.3530470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3530550Z x = self.conv_dw(x) 2025-09-07T08:02:19.3530746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3530894Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3531098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3531198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3531201Z 2025-09-07T08:02:19.3531301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3531482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3531552Z return mod(*inputs) 2025-09-07T08:02:19.3531752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3531819Z x = self.forward_features(x) 2025-09-07T08:02:19.3532048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3532109Z x = self.blocks(x) 2025-09-07T08:02:19.3532325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3532388Z x = self.conv_dw(x) 2025-09-07T08:02:19.3532579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3532683Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3532884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3532991Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3532995Z 2025-09-07T08:02:19.3533093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3533284Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3533357Z return mod(*inputs) 2025-09-07T08:02:19.3533553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3533625Z x = self.forward_features(x) 2025-09-07T08:02:19.3533844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3533914Z x = self.blocks(x) 2025-09-07T08:02:19.3534123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3534182Z x = self.conv_dw(x) 2025-09-07T08:02:19.3534428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3534541Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3534752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3534846Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3534849Z 2025-09-07T08:02:19.3534947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3535136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3535197Z return mod(*inputs) 2025-09-07T08:02:19.3535401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3535466Z x = self.forward_features(x) 2025-09-07T08:02:19.3535687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3535758Z x = self.blocks(x) 2025-09-07T08:02:19.3535970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3536062Z x = self.conv_dw(x) 2025-09-07T08:02:19.3536253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3536359Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3536555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3536649Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3536652Z 2025-09-07T08:02:19.3536758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3536940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3537011Z return mod(*inputs) 2025-09-07T08:02:19.3537207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3537276Z x = self.forward_features(x) 2025-09-07T08:02:19.3537499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3537560Z x = self.blocks(x) 2025-09-07T08:02:19.3537772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3537835Z x = self.conv_dw(x) 2025-09-07T08:02:19.3538025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3538127Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3538322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3538424Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3538428Z 2025-09-07T08:02:19.3538524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3538711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3538770Z return mod(*inputs) 2025-09-07T08:02:19.3538963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3539037Z x = self.forward_features(x) 2025-09-07T08:02:19.3539253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3539322Z x = self.blocks(x) 2025-09-07T08:02:19.3539527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3539587Z x = self.conv_dw(x) 2025-09-07T08:02:19.3539809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3539918Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3540125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3540219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3540222Z 2025-09-07T08:02:19.3540317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3540504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3540567Z return mod(*inputs) 2025-09-07T08:02:19.3540766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3540832Z x = self.forward_features(x) 2025-09-07T08:02:19.3541056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3541115Z x = self.blocks(x) 2025-09-07T08:02:19.3541322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3541408Z x = self.conv_dw(x) 2025-09-07T08:02:19.3541597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3541702Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3541908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3542000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3542003Z 2025-09-07T08:02:19.3542087Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3542166Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3542246Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3542323Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3542421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3542608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3542672Z return mod(*inputs) 2025-09-07T08:02:19.3542876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3542944Z x = self.forward_features(x) 2025-09-07T08:02:19.3543161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3543228Z x = self.blocks(x) 2025-09-07T08:02:19.3543440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3543509Z x = self.conv_dw(x) 2025-09-07T08:02:19.3543699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3543767Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3543777Z 2025-09-07T08:02:19.3543850Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3543950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3544138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3544197Z return mod(*inputs) 2025-09-07T08:02:19.3544398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3544465Z x = self.forward_features(x) 2025-09-07T08:02:19.3544680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3544751Z x = self.blocks(x) 2025-09-07T08:02:19.3544960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3545025Z x = self.se(x) 2025-09-07T08:02:19.3545273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:02:19.3545364Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:19.3545369Z 2025-09-07T08:02:19.3545475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3545655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3545723Z return mod(*inputs) 2025-09-07T08:02:19.3545921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3545987Z x = self.forward_features(x) 2025-09-07T08:02:19.3546208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3546269Z x = self.blocks(x) 2025-09-07T08:02:19.3546485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3546545Z x = self.se(x) 2025-09-07T08:02:19.3546752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3546842Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3546845Z 2025-09-07T08:02:19.3546941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3547130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3547192Z return mod(*inputs) 2025-09-07T08:02:19.3547396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3547461Z x = self.forward_features(x) 2025-09-07T08:02:19.3547676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3547741Z x = self.blocks(x) 2025-09-07T08:02:19.3547951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3548015Z x = self.se(x) 2025-09-07T08:02:19.3548222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3548287Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3548290Z 2025-09-07T08:02:19.3548393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3548575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3548642Z return mod(*inputs) 2025-09-07T08:02:19.3548836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3548901Z x = self.forward_features(x) 2025-09-07T08:02:19.3549123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3549184Z x = self.blocks(x) 2025-09-07T08:02:19.3549399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3549460Z x = self.se(x) 2025-09-07T08:02:19.3549666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3549738Z return x * self.gate(x_se) 2025-09-07T08:02:19.3549741Z 2025-09-07T08:02:19.3549837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3550028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3550089Z return mod(*inputs) 2025-09-07T08:02:19.3550290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3550356Z x = self.forward_features(x) 2025-09-07T08:02:19.3550608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3550693Z x = self.blocks(x) 2025-09-07T08:02:19.3550898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3550962Z x = self.se(x) 2025-09-07T08:02:19.3551168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3551234Z return x * self.gate(x_se) 2025-09-07T08:02:19.3551237Z 2025-09-07T08:02:19.3551342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3551520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3551586Z return mod(*inputs) 2025-09-07T08:02:19.3551782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3551846Z x = self.forward_features(x) 2025-09-07T08:02:19.3552068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3552131Z x = self.blocks(x) 2025-09-07T08:02:19.3552343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3552415Z x = self.se(x) 2025-09-07T08:02:19.3552623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3552685Z return x * self.gate(x_se) 2025-09-07T08:02:19.3552688Z 2025-09-07T08:02:19.3552761Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3552863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3553042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3553108Z return mod(*inputs) 2025-09-07T08:02:19.3553303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3553369Z x = self.forward_features(x) 2025-09-07T08:02:19.3553589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3553652Z x = self.blocks(x) 2025-09-07T08:02:19.3553864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3553927Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3554117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3554224Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3554421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3554524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3554527Z 2025-09-07T08:02:19.3554624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3554812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3554874Z return mod(*inputs) 2025-09-07T08:02:19.3555065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3555135Z x = self.forward_features(x) 2025-09-07T08:02:19.3555349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3555416Z x = self.blocks(x) 2025-09-07T08:02:19.3555625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3555688Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3555886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3556007Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3556226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3556323Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3556326Z 2025-09-07T08:02:19.3556402Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3556505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3556690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3556755Z return mod(*inputs) 2025-09-07T08:02:19.3556950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3557013Z x = self.forward_features(x) 2025-09-07T08:02:19.3557235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3557296Z x = self.blocks(x) 2025-09-07T08:02:19.3557513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3557595Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3557788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3557882Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3558077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3558177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3558179Z 2025-09-07T08:02:19.3558275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3558464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3558523Z return mod(*inputs) 2025-09-07T08:02:19.3558715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3558788Z x = self.forward_features(x) 2025-09-07T08:02:19.3558998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3559065Z x = self.blocks(x) 2025-09-07T08:02:19.3559272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3559334Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3559526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3559620Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3559824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3559917Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3559922Z 2025-09-07T08:02:19.3560002Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3560078Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3560173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3560357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3560417Z return mod(*inputs) 2025-09-07T08:02:19.3560615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3560680Z x = self.forward_features(x) 2025-09-07T08:02:19.3560893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3560956Z x = self.blocks(x) 2025-09-07T08:02:19.3561162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3561227Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3561442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3561518Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3561523Z 2025-09-07T08:02:19.3561624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3561805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3561868Z return mod(*inputs) 2025-09-07T08:02:19.3562064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3562128Z x = self.forward_features(x) 2025-09-07T08:02:19.3562352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3562410Z x = self.blocks(x) 2025-09-07T08:02:19.3562622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3562696Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3562700Z 2025-09-07T08:02:19.3562801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3562996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3563058Z return mod(*inputs) 2025-09-07T08:02:19.3563255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3563317Z x = self.forward_features(x) 2025-09-07T08:02:19.3563534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3563591Z x = self.blocks(x) 2025-09-07T08:02:19.3563794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3563857Z x = self.bn1(x) 2025-09-07T08:02:19.3564041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3564103Z x = self.act(x) 2025-09-07T08:02:19.3564106Z 2025-09-07T08:02:19.3564198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3564373Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3564439Z return mod(*inputs) 2025-09-07T08:02:19.3564629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3564698Z x = self.forward_features(x) 2025-09-07T08:02:19.3564907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3564966Z x = self.blocks(x) 2025-09-07T08:02:19.3565174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3565229Z x = self.bn1(x) 2025-09-07T08:02:19.3565419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3565476Z x = self.act(x) 2025-09-07T08:02:19.3565480Z 2025-09-07T08:02:19.3565577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3565753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3565812Z return mod(*inputs) 2025-09-07T08:02:19.3566009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3566073Z x = self.forward_features(x) 2025-09-07T08:02:19.3566290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3566347Z x = self.blocks(x) 2025-09-07T08:02:19.3566550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3566766Z x = self.conv_dw(x) 2025-09-07T08:02:19.3566969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3567072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3567268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3567363Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3567366Z 2025-09-07T08:02:19.3567466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3567645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3567708Z return mod(*inputs) 2025-09-07T08:02:19.3567900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3567970Z x = self.forward_features(x) 2025-09-07T08:02:19.3568188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3568249Z x = self.blocks(x) 2025-09-07T08:02:19.3568485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3568545Z x = self.conv_dw(x) 2025-09-07T08:02:19.3568741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3568837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3569035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3569132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3569135Z 2025-09-07T08:02:19.3569229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3569417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3569479Z return mod(*inputs) 2025-09-07T08:02:19.3569675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3569748Z x = self.forward_features(x) 2025-09-07T08:02:19.3569961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3570026Z x = self.blocks(x) 2025-09-07T08:02:19.3570233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3570293Z x = self.conv_dw(x) 2025-09-07T08:02:19.3570488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3570584Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3570790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3570887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3570892Z 2025-09-07T08:02:19.3570991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3571172Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3571230Z return mod(*inputs) 2025-09-07T08:02:19.3571441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3571507Z x = self.forward_features(x) 2025-09-07T08:02:19.3571733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3571792Z x = self.blocks(x) 2025-09-07T08:02:19.3572000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3572098Z x = self.conv_dw(x) 2025-09-07T08:02:19.3572303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3572408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3572605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3572706Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3572709Z 2025-09-07T08:02:19.3572803Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3572983Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3573052Z return mod(*inputs) 2025-09-07T08:02:19.3573246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3573320Z x = self.forward_features(x) 2025-09-07T08:02:19.3573537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3573599Z x = self.blocks(x) 2025-09-07T08:02:19.3573829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3573890Z x = self.conv_dw(x) 2025-09-07T08:02:19.3574084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3574180Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3574376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3574478Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3574481Z 2025-09-07T08:02:19.3574580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3574766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3574829Z return mod(*inputs) 2025-09-07T08:02:19.3575029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3575096Z x = self.forward_features(x) 2025-09-07T08:02:19.3575308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3575374Z x = self.blocks(x) 2025-09-07T08:02:19.3575580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3575649Z x = self.conv_dw(x) 2025-09-07T08:02:19.3575835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3575933Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3576141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3576238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3576240Z 2025-09-07T08:02:19.3576343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3576523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3576584Z return mod(*inputs) 2025-09-07T08:02:19.3576784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3576849Z x = self.forward_features(x) 2025-09-07T08:02:19.3577067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3577128Z x = self.blocks(x) 2025-09-07T08:02:19.3577343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3577402Z x = self.conv_dw(x) 2025-09-07T08:02:19.3577616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3577733Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3577933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3578034Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3578038Z 2025-09-07T08:02:19.3578132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3578315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3578385Z return mod(*inputs) 2025-09-07T08:02:19.3578582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3578656Z x = self.forward_features(x) 2025-09-07T08:02:19.3578875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3578935Z x = self.blocks(x) 2025-09-07T08:02:19.3579152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3579227Z x = self.conv_dw(x) 2025-09-07T08:02:19.3579426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3579520Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3579718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3579821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3579824Z 2025-09-07T08:02:19.3579902Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3579987Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3580063Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3580141Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3580240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3580425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3580495Z return mod(*inputs) 2025-09-07T08:02:19.3580691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3580763Z x = self.forward_features(x) 2025-09-07T08:02:19.3580982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3581041Z x = self.blocks(x) 2025-09-07T08:02:19.3581258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3581319Z x = self.conv_dw(x) 2025-09-07T08:02:19.3581519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3581587Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3581590Z 2025-09-07T08:02:19.3581663Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3581769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3581949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3582018Z return mod(*inputs) 2025-09-07T08:02:19.3582212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3582278Z x = self.forward_features(x) 2025-09-07T08:02:19.3582503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3582564Z x = self.blocks(x) 2025-09-07T08:02:19.3582785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3582869Z x = self.se(x) 2025-09-07T08:02:19.3583094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:02:19.3583175Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:19.3583178Z 2025-09-07T08:02:19.3583274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3583460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3583520Z return mod(*inputs) 2025-09-07T08:02:19.3583722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3583785Z x = self.forward_features(x) 2025-09-07T08:02:19.3583998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3584066Z x = self.blocks(x) 2025-09-07T08:02:19.3584272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3584335Z x = self.se(x) 2025-09-07T08:02:19.3584540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3584622Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3584625Z 2025-09-07T08:02:19.3584731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3584910Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3584978Z return mod(*inputs) 2025-09-07T08:02:19.3585175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3585239Z x = self.forward_features(x) 2025-09-07T08:02:19.3585460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3585520Z x = self.blocks(x) 2025-09-07T08:02:19.3585736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3585798Z x = self.se(x) 2025-09-07T08:02:19.3586014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3586080Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3586083Z 2025-09-07T08:02:19.3586178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3586367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3586429Z return mod(*inputs) 2025-09-07T08:02:19.3586629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3586696Z x = self.forward_features(x) 2025-09-07T08:02:19.3586913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3586980Z x = self.blocks(x) 2025-09-07T08:02:19.3587188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3587253Z x = self.se(x) 2025-09-07T08:02:19.3587458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3587524Z return x * self.gate(x_se) 2025-09-07T08:02:19.3587526Z 2025-09-07T08:02:19.3587627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3587806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3587873Z return mod(*inputs) 2025-09-07T08:02:19.3588065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3588131Z x = self.forward_features(x) 2025-09-07T08:02:19.3588378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3588462Z x = self.blocks(x) 2025-09-07T08:02:19.3588676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3588737Z x = self.se(x) 2025-09-07T08:02:19.3588947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3589012Z return x * self.gate(x_se) 2025-09-07T08:02:19.3589014Z 2025-09-07T08:02:19.3589110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3589298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3589361Z return mod(*inputs) 2025-09-07T08:02:19.3589561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3589630Z x = self.forward_features(x) 2025-09-07T08:02:19.3589845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3589931Z x = self.blocks(x) 2025-09-07T08:02:19.3590136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3590202Z x = self.se(x) 2025-09-07T08:02:19.3590407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3590474Z return x * self.gate(x_se) 2025-09-07T08:02:19.3590477Z 2025-09-07T08:02:19.3590583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3590763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3590833Z return mod(*inputs) 2025-09-07T08:02:19.3591031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3591097Z x = self.forward_features(x) 2025-09-07T08:02:19.3591319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3591381Z x = self.blocks(x) 2025-09-07T08:02:19.3591594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3591658Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3591858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3591958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3592157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3592261Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3592264Z 2025-09-07T08:02:19.3592361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3592552Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3592618Z return mod(*inputs) 2025-09-07T08:02:19.3592812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3592886Z x = self.forward_features(x) 2025-09-07T08:02:19.3593104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3593171Z x = self.blocks(x) 2025-09-07T08:02:19.3593379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3593445Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3593645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3593771Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3593991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3594093Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3594096Z 2025-09-07T08:02:19.3594204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3594389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3594454Z return mod(*inputs) 2025-09-07T08:02:19.3594659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3594729Z x = self.forward_features(x) 2025-09-07T08:02:19.3594954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3595018Z x = self.blocks(x) 2025-09-07T08:02:19.3595230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3595307Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3595497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3595616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3595812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3595907Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3595918Z 2025-09-07T08:02:19.3596014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3596191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3596260Z return mod(*inputs) 2025-09-07T08:02:19.3596453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3596531Z x = self.forward_features(x) 2025-09-07T08:02:19.3596748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3596809Z x = self.blocks(x) 2025-09-07T08:02:19.3597023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3597088Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3597285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3597380Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3597579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3597679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3597683Z 2025-09-07T08:02:19.3597762Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3597844Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3597942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3598123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3598189Z return mod(*inputs) 2025-09-07T08:02:19.3598382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3598453Z x = self.forward_features(x) 2025-09-07T08:02:19.3598668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3598737Z x = self.blocks(x) 2025-09-07T08:02:19.3598944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3599008Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3599239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3599328Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3599331Z 2025-09-07T08:02:19.3599435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3599619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3599680Z return mod(*inputs) 2025-09-07T08:02:19.3599881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3599947Z x = self.forward_features(x) 2025-09-07T08:02:19.3600172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3600230Z x = self.blocks(x) 2025-09-07T08:02:19.3600439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3600520Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3600526Z 2025-09-07T08:02:19.3600624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3600812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3600889Z return mod(*inputs) 2025-09-07T08:02:19.3601082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3601156Z x = self.forward_features(x) 2025-09-07T08:02:19.3601370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3601436Z x = self.blocks(x) 2025-09-07T08:02:19.3601642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3601709Z x = self.bn1(x) 2025-09-07T08:02:19.3601894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3601954Z x = self.act(x) 2025-09-07T08:02:19.3601959Z 2025-09-07T08:02:19.3602063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3602246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3602315Z return mod(*inputs) 2025-09-07T08:02:19.3602509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3602575Z x = self.forward_features(x) 2025-09-07T08:02:19.3602797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3602855Z x = self.blocks(x) 2025-09-07T08:02:19.3603068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:02:19.3603125Z x = self.bn1(x) 2025-09-07T08:02:19.3603313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3603379Z x = self.act(x) 2025-09-07T08:02:19.3603382Z 2025-09-07T08:02:19.3603476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3603665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3603725Z return mod(*inputs) 2025-09-07T08:02:19.3603917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3603992Z x = self.forward_features(x) 2025-09-07T08:02:19.3604207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3604275Z x = self.blocks(x) 2025-09-07T08:02:19.3604483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3604552Z x = self.conv_dw(x) 2025-09-07T08:02:19.3604769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3604882Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3605089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3605186Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3605189Z 2025-09-07T08:02:19.3605294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3605474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3605536Z return mod(*inputs) 2025-09-07T08:02:19.3605739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3605806Z x = self.forward_features(x) 2025-09-07T08:02:19.3606034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3606094Z x = self.blocks(x) 2025-09-07T08:02:19.3606302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3606499Z x = self.conv_dw(x) 2025-09-07T08:02:19.3606692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3606796Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3606999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3607104Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3607107Z 2025-09-07T08:02:19.3607202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3607388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3607460Z return mod(*inputs) 2025-09-07T08:02:19.3607662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3607739Z x = self.forward_features(x) 2025-09-07T08:02:19.3607961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3608020Z x = self.blocks(x) 2025-09-07T08:02:19.3608241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3608303Z x = self.conv_dw(x) 2025-09-07T08:02:19.3608504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3608599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3608797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3608898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3608902Z 2025-09-07T08:02:19.3608995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3609184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3609243Z return mod(*inputs) 2025-09-07T08:02:19.3609446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3609511Z x = self.forward_features(x) 2025-09-07T08:02:19.3609730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3609799Z x = self.blocks(x) 2025-09-07T08:02:19.3610011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3610079Z x = self.conv_dw(x) 2025-09-07T08:02:19.3610305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3610418Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3610629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3610724Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3610727Z 2025-09-07T08:02:19.3610829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3611012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3611072Z return mod(*inputs) 2025-09-07T08:02:19.3611272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3611337Z x = self.forward_features(x) 2025-09-07T08:02:19.3611562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3611623Z x = self.blocks(x) 2025-09-07T08:02:19.3611838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3611918Z x = self.conv_dw(x) 2025-09-07T08:02:19.3612111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3612213Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3612415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3612516Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3612519Z 2025-09-07T08:02:19.3612615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3612801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3612873Z return mod(*inputs) 2025-09-07T08:02:19.3613072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3613148Z x = self.forward_features(x) 2025-09-07T08:02:19.3613369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3613430Z x = self.blocks(x) 2025-09-07T08:02:19.3613648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3613709Z x = self.conv_dw(x) 2025-09-07T08:02:19.3613905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3614000Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3614208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3614306Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3614310Z 2025-09-07T08:02:19.3614406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3614596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3614656Z return mod(*inputs) 2025-09-07T08:02:19.3614863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3614928Z x = self.forward_features(x) 2025-09-07T08:02:19.3615148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3615217Z x = self.blocks(x) 2025-09-07T08:02:19.3615429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3615500Z x = self.conv_dw(x) 2025-09-07T08:02:19.3615726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3615839Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3616042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3616136Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3616139Z 2025-09-07T08:02:19.3616244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3616427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3616495Z return mod(*inputs) 2025-09-07T08:02:19.3616690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3616754Z x = self.forward_features(x) 2025-09-07T08:02:19.3616981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3617041Z x = self.blocks(x) 2025-09-07T08:02:19.3617261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3617339Z x = self.conv_dw(x) 2025-09-07T08:02:19.3617530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3617633Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3617835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3617936Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3617939Z 2025-09-07T08:02:19.3618015Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3618093Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3618173Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3618247Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3618351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3618534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3618598Z return mod(*inputs) 2025-09-07T08:02:19.3618804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3618867Z x = self.forward_features(x) 2025-09-07T08:02:19.3619092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3619153Z x = self.blocks(x) 2025-09-07T08:02:19.3619372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T08:02:19.3619434Z x = self.conv_dw(x) 2025-09-07T08:02:19.3619629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3619703Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3619708Z 2025-09-07T08:02:19.3619783Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3619888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3620076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3620139Z return mod(*inputs) 2025-09-07T08:02:19.3620345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3620409Z x = self.forward_features(x) 2025-09-07T08:02:19.3620633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3620694Z x = self.blocks(x) 2025-09-07T08:02:19.3620909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3620974Z x = self.se(x) 2025-09-07T08:02:19.3621215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:02:19.3621310Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:02:19.3621315Z 2025-09-07T08:02:19.3621412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3621593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3621662Z return mod(*inputs) 2025-09-07T08:02:19.3621854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3621926Z x = self.forward_features(x) 2025-09-07T08:02:19.3622140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3622205Z x = self.blocks(x) 2025-09-07T08:02:19.3622410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3622472Z x = self.se(x) 2025-09-07T08:02:19.3622690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3622771Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3622775Z 2025-09-07T08:02:19.3622880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3623058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3623119Z return mod(*inputs) 2025-09-07T08:02:19.3623322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3623386Z x = self.forward_features(x) 2025-09-07T08:02:19.3623610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3623670Z x = self.blocks(x) 2025-09-07T08:02:19.3623879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3623945Z x = self.se(x) 2025-09-07T08:02:19.3624148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:02:19.3624222Z x_se = self.act1(x_se) 2025-09-07T08:02:19.3624225Z 2025-09-07T08:02:19.3624322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3624505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3624573Z return mod(*inputs) 2025-09-07T08:02:19.3624772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3624847Z x = self.forward_features(x) 2025-09-07T08:02:19.3625062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3625127Z x = self.blocks(x) 2025-09-07T08:02:19.3625339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3625398Z x = self.se(x) 2025-09-07T08:02:19.3625614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3625681Z return x * self.gate(x_se) 2025-09-07T08:02:19.3625684Z 2025-09-07T08:02:19.3625786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3625966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3626027Z return mod(*inputs) 2025-09-07T08:02:19.3626232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3626297Z x = self.forward_features(x) 2025-09-07T08:02:19.3626550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3626610Z x = self.blocks(x) 2025-09-07T08:02:19.3626832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3626897Z x = self.se(x) 2025-09-07T08:02:19.3627102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3627175Z return x * self.gate(x_se) 2025-09-07T08:02:19.3627177Z 2025-09-07T08:02:19.3627272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3627460Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3627522Z return mod(*inputs) 2025-09-07T08:02:19.3627716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3627788Z x = self.forward_features(x) 2025-09-07T08:02:19.3628007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3628073Z x = self.blocks(x) 2025-09-07T08:02:19.3628279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:02:19.3628384Z x = self.se(x) 2025-09-07T08:02:19.3628604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:02:19.3628669Z return x * self.gate(x_se) 2025-09-07T08:02:19.3628672Z 2025-09-07T08:02:19.3628776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3628961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3629024Z return mod(*inputs) 2025-09-07T08:02:19.3629233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3629298Z x = self.forward_features(x) 2025-09-07T08:02:19.3629526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3629588Z x = self.blocks(x) 2025-09-07T08:02:19.3629799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3629873Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3630068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3630177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3630380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3630487Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3630490Z 2025-09-07T08:02:19.3630587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3630809Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3630886Z return mod(*inputs) 2025-09-07T08:02:19.3631081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3631158Z x = self.forward_features(x) 2025-09-07T08:02:19.3631369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3631432Z x = self.blocks(x) 2025-09-07T08:02:19.3631646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3631711Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3631911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3632010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3632262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3632388Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3632392Z 2025-09-07T08:02:19.3632490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3632682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3632748Z return mod(*inputs) 2025-09-07T08:02:19.3632958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3633030Z x = self.forward_features(x) 2025-09-07T08:02:19.3633254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3633325Z x = self.blocks(x) 2025-09-07T08:02:19.3633538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3633615Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3633812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3633929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3634137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3634230Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3634234Z 2025-09-07T08:02:19.3634336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3634518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3634581Z return mod(*inputs) 2025-09-07T08:02:19.3634785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3634852Z x = self.forward_features(x) 2025-09-07T08:02:19.3635080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3635141Z x = self.blocks(x) 2025-09-07T08:02:19.3635356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3635419Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3635610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T08:02:19.3635711Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3635909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T08:02:19.3636013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T08:02:19.3636016Z 2025-09-07T08:02:19.3636093Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3636168Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3636275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3636457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3636528Z return mod(*inputs) 2025-09-07T08:02:19.3636724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3636791Z x = self.forward_features(x) 2025-09-07T08:02:19.3637016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3637076Z x = self.blocks(x) 2025-09-07T08:02:19.3637290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:02:19.3637352Z x = self.conv_pwl(x) 2025-09-07T08:02:19.3637540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T08:02:19.3637639Z x = torch.cat(x_out, 1) 2025-09-07T08:02:19.3637656Z 2025-09-07T08:02:19.3637754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3637941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3638004Z return mod(*inputs) 2025-09-07T08:02:19.3638207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3638272Z x = self.forward_features(x) 2025-09-07T08:02:19.3638486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:02:19.3638552Z x = self.blocks(x) 2025-09-07T08:02:19.3638758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:02:19.3638836Z x = self.drop_path(x) + shortcut 2025-09-07T08:02:19.3638839Z 2025-09-07T08:02:19.3638939Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3639122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3639205Z return mod(*inputs) 2025-09-07T08:02:19.3639399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3639472Z x = self.forward_features(x) 2025-09-07T08:02:19.3639689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:02:19.3639748Z x = self.bn2(x) 2025-09-07T08:02:19.3639946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3640004Z x = self.act(x) 2025-09-07T08:02:19.3640007Z 2025-09-07T08:02:19.3640109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3640295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3640364Z return mod(*inputs) 2025-09-07T08:02:19.3640565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:02:19.3640633Z x = self.forward_features(x) 2025-09-07T08:02:19.3640862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:02:19.3640921Z x = self.bn2(x) 2025-09-07T08:02:19.3641118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:02:19.3641177Z x = self.act(x) 2025-09-07T08:02:19.3641180Z 2025-09-07T08:02:19.3641257Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3641363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:19.3641549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:02:19.3641619Z return mod(*inputs) 2025-09-07T08:02:19.3641822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:02:19.3641889Z x = self.forward_head(x) 2025-09-07T08:02:19.3642113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:02:19.3642180Z x = self.global_pool(x) 2025-09-07T08:02:19.3642408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:02:19.3642471Z x = self.pool(x) 2025-09-07T08:02:19.3642474Z 2025-09-07T08:02:19.3642552Z cudagraph partition due to non gpu ops 2025-09-07T08:02:19.3642634Z cudagraph partition due to non gpu ops 2025-09-07T08:02:58.7909575Z pass 2025-09-07T08:02:58.7910022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:00.9778830Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:03:00.9779886Z import pynvml # type: ignore[import] 2025-09-07T08:03:03.1419002Z 2025-09-07T08:03:03.4917164Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:03.4917477Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:03.4917737Z cpu eval tinynet_a 2025-09-07T08:03:04.6114306Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:04.6777346Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:04.7418881Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:17.5625228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5625699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5626042Z return mod(*inputs) 2025-09-07T08:03:17.5626391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5626984Z x = self.forward_features(x) 2025-09-07T08:03:17.5627344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 251, in forward_features 2025-09-07T08:03:17.5627696Z x = self.conv_stem(x) 2025-09-07T08:03:17.5627808Z 2025-09-07T08:03:17.5627900Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5628104Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5628304Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5628501Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5628728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5629083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5629400Z return mod(*inputs) 2025-09-07T08:03:17.5629732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5630064Z x = self.forward_features(x) 2025-09-07T08:03:17.5630411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:03:17.5630743Z x = self.bn1(x) 2025-09-07T08:03:17.5631202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5631508Z x = self.act(x) 2025-09-07T08:03:17.5631597Z 2025-09-07T08:03:17.5631875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5632225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5632526Z return mod(*inputs) 2025-09-07T08:03:17.5632833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5633165Z x = self.forward_features(x) 2025-09-07T08:03:17.5633504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 252, in forward_features 2025-09-07T08:03:17.5633837Z x = self.bn1(x) 2025-09-07T08:03:17.5634125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5634435Z x = self.act(x) 2025-09-07T08:03:17.5634525Z 2025-09-07T08:03:17.5634632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5634981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5635278Z return mod(*inputs) 2025-09-07T08:03:17.5635583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5635906Z x = self.forward_features(x) 2025-09-07T08:03:17.5636352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5636729Z x = self.blocks(x) 2025-09-07T08:03:17.5637060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:03:17.5637391Z x = self.bn1(x) 2025-09-07T08:03:17.5637678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5637985Z x = self.act(x) 2025-09-07T08:03:17.5638073Z 2025-09-07T08:03:17.5638174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5638518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5638834Z return mod(*inputs) 2025-09-07T08:03:17.5639143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5639462Z x = self.forward_features(x) 2025-09-07T08:03:17.5639801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5640183Z x = self.blocks(x) 2025-09-07T08:03:17.5640496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward 2025-09-07T08:03:17.5640822Z x = self.bn1(x) 2025-09-07T08:03:17.5641092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5641402Z x = self.act(x) 2025-09-07T08:03:17.5641489Z 2025-09-07T08:03:17.5641575Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5641804Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5642144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5642449Z return mod(*inputs) 2025-09-07T08:03:17.5642761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5643087Z x = self.forward_features(x) 2025-09-07T08:03:17.5643420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5643757Z x = self.blocks(x) 2025-09-07T08:03:17.5644077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5644407Z x = self.se(x) 2025-09-07T08:03:17.5644718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5645054Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5645186Z 2025-09-07T08:03:17.5645286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5645632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5645936Z return mod(*inputs) 2025-09-07T08:03:17.5646241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5646558Z x = self.forward_features(x) 2025-09-07T08:03:17.5646905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5647241Z x = self.blocks(x) 2025-09-07T08:03:17.5647559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5647876Z x = self.se(x) 2025-09-07T08:03:17.5648182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5648510Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5648616Z 2025-09-07T08:03:17.5648719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5649103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5649401Z return mod(*inputs) 2025-09-07T08:03:17.5649721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5650047Z x = self.forward_features(x) 2025-09-07T08:03:17.5650384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5650709Z x = self.blocks(x) 2025-09-07T08:03:17.5651021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5651358Z x = self.se(x) 2025-09-07T08:03:17.5651669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5651996Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5652099Z 2025-09-07T08:03:17.5652196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5652545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5652844Z return mod(*inputs) 2025-09-07T08:03:17.5653148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5653482Z x = self.forward_features(x) 2025-09-07T08:03:17.5653826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5654163Z x = self.blocks(x) 2025-09-07T08:03:17.5654486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5654823Z x = self.se(x) 2025-09-07T08:03:17.5655124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5655469Z return x * self.gate(x_se) 2025-09-07T08:03:17.5655589Z 2025-09-07T08:03:17.5655693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5656048Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5656359Z return mod(*inputs) 2025-09-07T08:03:17.5656663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5656992Z x = self.forward_features(x) 2025-09-07T08:03:17.5657341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5657689Z x = self.blocks(x) 2025-09-07T08:03:17.5658000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5658342Z x = self.se(x) 2025-09-07T08:03:17.5658650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5658993Z return x * self.gate(x_se) 2025-09-07T08:03:17.5659111Z 2025-09-07T08:03:17.5659222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5659559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5659870Z return mod(*inputs) 2025-09-07T08:03:17.5660181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5660512Z x = self.forward_features(x) 2025-09-07T08:03:17.5660846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5661196Z x = self.blocks(x) 2025-09-07T08:03:17.5661515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward 2025-09-07T08:03:17.5661852Z x = self.se(x) 2025-09-07T08:03:17.5662156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5663195Z return x * self.gate(x_se) 2025-09-07T08:03:17.5663354Z 2025-09-07T08:03:17.5663455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5663797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5664097Z return mod(*inputs) 2025-09-07T08:03:17.5664388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5664713Z x = self.forward_features(x) 2025-09-07T08:03:17.5665071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5665408Z x = self.blocks(x) 2025-09-07T08:03:17.5665722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:03:17.5666048Z x = self.conv_pw(x) 2025-09-07T08:03:17.5666143Z 2025-09-07T08:03:17.5666245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5666585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5666913Z return mod(*inputs) 2025-09-07T08:03:17.5667215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5667532Z x = self.forward_features(x) 2025-09-07T08:03:17.5667868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5668206Z x = self.blocks(x) 2025-09-07T08:03:17.5668521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward 2025-09-07T08:03:17.5668853Z x = self.conv_pw(x) 2025-09-07T08:03:17.5668950Z 2025-09-07T08:03:17.5669046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5669386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5669690Z return mod(*inputs) 2025-09-07T08:03:17.5669989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5670315Z x = self.forward_features(x) 2025-09-07T08:03:17.5670645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5670982Z x = self.blocks(x) 2025-09-07T08:03:17.5671292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5671622Z x = self.bn1(x) 2025-09-07T08:03:17.5671895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5672198Z x = self.act(x) 2025-09-07T08:03:17.5672294Z 2025-09-07T08:03:17.5672392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5672731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5673028Z return mod(*inputs) 2025-09-07T08:03:17.5673326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5673653Z x = self.forward_features(x) 2025-09-07T08:03:17.5673990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5674326Z x = self.blocks(x) 2025-09-07T08:03:17.5674628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5674956Z x = self.bn1(x) 2025-09-07T08:03:17.5675234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5675535Z x = self.act(x) 2025-09-07T08:03:17.5675622Z 2025-09-07T08:03:17.5675718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5676108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5676430Z return mod(*inputs) 2025-09-07T08:03:17.5676738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5677061Z x = self.forward_features(x) 2025-09-07T08:03:17.5677396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5677737Z x = self.blocks(x) 2025-09-07T08:03:17.5678052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5678380Z x = self.bn2(x) 2025-09-07T08:03:17.5678653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5678959Z x = self.act(x) 2025-09-07T08:03:17.5679058Z 2025-09-07T08:03:17.5679160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5679504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5679826Z return mod(*inputs) 2025-09-07T08:03:17.5680119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5680441Z x = self.forward_features(x) 2025-09-07T08:03:17.5680780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5681116Z x = self.blocks(x) 2025-09-07T08:03:17.5681416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5681745Z x = self.bn2(x) 2025-09-07T08:03:17.5682023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5682326Z x = self.act(x) 2025-09-07T08:03:17.5682416Z 2025-09-07T08:03:17.5682505Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5682728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5683063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5683367Z return mod(*inputs) 2025-09-07T08:03:17.5683673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5683990Z x = self.forward_features(x) 2025-09-07T08:03:17.5684328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5684665Z x = self.blocks(x) 2025-09-07T08:03:17.5684979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5685308Z x = self.se(x) 2025-09-07T08:03:17.5685606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5685946Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5686076Z 2025-09-07T08:03:17.5686175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5686511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5686804Z return mod(*inputs) 2025-09-07T08:03:17.5687102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5687427Z x = self.forward_features(x) 2025-09-07T08:03:17.5687765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5688101Z x = self.blocks(x) 2025-09-07T08:03:17.5688400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5688726Z x = self.se(x) 2025-09-07T08:03:17.5689059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5689412Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5689521Z 2025-09-07T08:03:17.5689619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5689961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5690264Z return mod(*inputs) 2025-09-07T08:03:17.5690569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5690894Z x = self.forward_features(x) 2025-09-07T08:03:17.5691226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5691567Z x = self.blocks(x) 2025-09-07T08:03:17.5691882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5692211Z x = self.se(x) 2025-09-07T08:03:17.5692511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5692866Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5692980Z 2025-09-07T08:03:17.5693079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5693421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5693724Z return mod(*inputs) 2025-09-07T08:03:17.5694018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5694343Z x = self.forward_features(x) 2025-09-07T08:03:17.5694680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5695017Z x = self.blocks(x) 2025-09-07T08:03:17.5695325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5695654Z x = self.se(x) 2025-09-07T08:03:17.5695956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5696292Z return x * self.gate(x_se) 2025-09-07T08:03:17.5696403Z 2025-09-07T08:03:17.5696510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5696837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5697144Z return mod(*inputs) 2025-09-07T08:03:17.5697443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5697766Z x = self.forward_features(x) 2025-09-07T08:03:17.5698094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5698438Z x = self.blocks(x) 2025-09-07T08:03:17.5698752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5699087Z x = self.se(x) 2025-09-07T08:03:17.5699387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5699713Z return x * self.gate(x_se) 2025-09-07T08:03:17.5699829Z 2025-09-07T08:03:17.5699926Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5700259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5700562Z return mod(*inputs) 2025-09-07T08:03:17.5700854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5701176Z x = self.forward_features(x) 2025-09-07T08:03:17.5701546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5701903Z x = self.blocks(x) 2025-09-07T08:03:17.5702216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5702538Z x = self.se(x) 2025-09-07T08:03:17.5702838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5703171Z return x * self.gate(x_se) 2025-09-07T08:03:17.5703281Z 2025-09-07T08:03:17.5703390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5703728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5704035Z return mod(*inputs) 2025-09-07T08:03:17.5704342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5704669Z x = self.forward_features(x) 2025-09-07T08:03:17.5705008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5705340Z x = self.blocks(x) 2025-09-07T08:03:17.5705655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5706016Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5706138Z 2025-09-07T08:03:17.5706246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5706579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5706874Z return mod(*inputs) 2025-09-07T08:03:17.5707175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5707497Z x = self.forward_features(x) 2025-09-07T08:03:17.5707832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5708163Z x = self.blocks(x) 2025-09-07T08:03:17.5708475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5708818Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5708940Z 2025-09-07T08:03:17.5709047Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5709379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5709672Z return mod(*inputs) 2025-09-07T08:03:17.5709969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5710292Z x = self.forward_features(x) 2025-09-07T08:03:17.5710627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5710954Z x = self.blocks(x) 2025-09-07T08:03:17.5711275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5711606Z x = self.bn1(x) 2025-09-07T08:03:17.5711888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5712193Z x = self.act(x) 2025-09-07T08:03:17.5712283Z 2025-09-07T08:03:17.5712383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5712717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5713020Z return mod(*inputs) 2025-09-07T08:03:17.5713317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5713629Z x = self.forward_features(x) 2025-09-07T08:03:17.5713967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5714298Z x = self.blocks(x) 2025-09-07T08:03:17.5714639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5714979Z x = self.bn1(x) 2025-09-07T08:03:17.5715253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5715551Z x = self.act(x) 2025-09-07T08:03:17.5715638Z 2025-09-07T08:03:17.5715742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5716078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5716374Z return mod(*inputs) 2025-09-07T08:03:17.5716675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5716998Z x = self.forward_features(x) 2025-09-07T08:03:17.5717333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5717673Z x = self.blocks(x) 2025-09-07T08:03:17.5717978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5718348Z x = self.bn2(x) 2025-09-07T08:03:17.5718629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5718930Z x = self.act(x) 2025-09-07T08:03:17.5719015Z 2025-09-07T08:03:17.5719113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5719454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5719761Z return mod(*inputs) 2025-09-07T08:03:17.5720063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5720380Z x = self.forward_features(x) 2025-09-07T08:03:17.5720727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5721069Z x = self.blocks(x) 2025-09-07T08:03:17.5721392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5721745Z x = self.bn2(x) 2025-09-07T08:03:17.5722016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5722320Z x = self.act(x) 2025-09-07T08:03:17.5722415Z 2025-09-07T08:03:17.5722494Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5722728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5723059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5723366Z return mod(*inputs) 2025-09-07T08:03:17.5723669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5723994Z x = self.forward_features(x) 2025-09-07T08:03:17.5724334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5724665Z x = self.blocks(x) 2025-09-07T08:03:17.5724982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5725317Z x = self.se(x) 2025-09-07T08:03:17.5725621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5725953Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5726087Z 2025-09-07T08:03:17.5726185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5726527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5726836Z return mod(*inputs) 2025-09-07T08:03:17.5727135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5727496Z x = self.forward_features(x) 2025-09-07T08:03:17.5727854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5728188Z x = self.blocks(x) 2025-09-07T08:03:17.5728499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5728816Z x = self.se(x) 2025-09-07T08:03:17.5729116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5729444Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5729547Z 2025-09-07T08:03:17.5729653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5729985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5730279Z return mod(*inputs) 2025-09-07T08:03:17.5730586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5730975Z x = self.forward_features(x) 2025-09-07T08:03:17.5731327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5731711Z x = self.blocks(x) 2025-09-07T08:03:17.5732027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5732352Z x = self.se(x) 2025-09-07T08:03:17.5732659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5732990Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5733094Z 2025-09-07T08:03:17.5733192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5733530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5733828Z return mod(*inputs) 2025-09-07T08:03:17.5734130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5734451Z x = self.forward_features(x) 2025-09-07T08:03:17.5734790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5735124Z x = self.blocks(x) 2025-09-07T08:03:17.5735435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5735764Z x = self.se(x) 2025-09-07T08:03:17.5736055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5736387Z return x * self.gate(x_se) 2025-09-07T08:03:17.5736503Z 2025-09-07T08:03:17.5736599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5736935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5737235Z return mod(*inputs) 2025-09-07T08:03:17.5737528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5737847Z x = self.forward_features(x) 2025-09-07T08:03:17.5738186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5738523Z x = self.blocks(x) 2025-09-07T08:03:17.5738825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5739150Z x = self.se(x) 2025-09-07T08:03:17.5739449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5739779Z return x * self.gate(x_se) 2025-09-07T08:03:17.5739885Z 2025-09-07T08:03:17.5739989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5740366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5740696Z return mod(*inputs) 2025-09-07T08:03:17.5740998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5741324Z x = self.forward_features(x) 2025-09-07T08:03:17.5741651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5741986Z x = self.blocks(x) 2025-09-07T08:03:17.5742295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5742622Z x = self.se(x) 2025-09-07T08:03:17.5742916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5743248Z return x * self.gate(x_se) 2025-09-07T08:03:17.5743365Z 2025-09-07T08:03:17.5743443Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5743676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5744010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5744318Z return mod(*inputs) 2025-09-07T08:03:17.5744620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5744942Z x = self.forward_features(x) 2025-09-07T08:03:17.5745279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5745609Z x = self.blocks(x) 2025-09-07T08:03:17.5745923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5746253Z x = self.bn1(x) 2025-09-07T08:03:17.5746531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5746838Z x = self.act(x) 2025-09-07T08:03:17.5746930Z 2025-09-07T08:03:17.5747031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5747371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5747673Z return mod(*inputs) 2025-09-07T08:03:17.5747981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5748296Z x = self.forward_features(x) 2025-09-07T08:03:17.5748632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5748972Z x = self.blocks(x) 2025-09-07T08:03:17.5749285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5749611Z x = self.bn1(x) 2025-09-07T08:03:17.5749883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5750192Z x = self.act(x) 2025-09-07T08:03:17.5750286Z 2025-09-07T08:03:17.5750386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5750723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5751017Z return mod(*inputs) 2025-09-07T08:03:17.5751322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5751644Z x = self.forward_features(x) 2025-09-07T08:03:17.5751983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5752318Z x = self.blocks(x) 2025-09-07T08:03:17.5752624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5752953Z x = self.bn2(x) 2025-09-07T08:03:17.5753265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5753580Z x = self.act(x) 2025-09-07T08:03:17.5753666Z 2025-09-07T08:03:17.5753764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5754101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5754407Z return mod(*inputs) 2025-09-07T08:03:17.5754711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5755035Z x = self.forward_features(x) 2025-09-07T08:03:17.5755364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5755699Z x = self.blocks(x) 2025-09-07T08:03:17.5756008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5756331Z x = self.bn2(x) 2025-09-07T08:03:17.5756605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5756904Z x = self.act(x) 2025-09-07T08:03:17.5757018Z 2025-09-07T08:03:17.5757096Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5757320Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5757652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5757948Z return mod(*inputs) 2025-09-07T08:03:17.5758245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5758567Z x = self.forward_features(x) 2025-09-07T08:03:17.5758902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5759231Z x = self.blocks(x) 2025-09-07T08:03:17.5759541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5759867Z x = self.se(x) 2025-09-07T08:03:17.5760165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5760502Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5760624Z 2025-09-07T08:03:17.5760720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5761054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5761357Z return mod(*inputs) 2025-09-07T08:03:17.5761652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5761966Z x = self.forward_features(x) 2025-09-07T08:03:17.5762298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5762634Z x = self.blocks(x) 2025-09-07T08:03:17.5762942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5763269Z x = self.se(x) 2025-09-07T08:03:17.5763565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5763902Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5764014Z 2025-09-07T08:03:17.5764113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5764448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5764742Z return mod(*inputs) 2025-09-07T08:03:17.5765043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5765361Z x = self.forward_features(x) 2025-09-07T08:03:17.5765693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5766055Z x = self.blocks(x) 2025-09-07T08:03:17.5766375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5766711Z x = self.se(x) 2025-09-07T08:03:17.5767019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5767357Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5767467Z 2025-09-07T08:03:17.5767567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5767912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5768221Z return mod(*inputs) 2025-09-07T08:03:17.5768531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5768863Z x = self.forward_features(x) 2025-09-07T08:03:17.5769198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5769542Z x = self.blocks(x) 2025-09-07T08:03:17.5769857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5770209Z x = self.se(x) 2025-09-07T08:03:17.5770502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5770839Z return x * self.gate(x_se) 2025-09-07T08:03:17.5770956Z 2025-09-07T08:03:17.5771053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5771415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5771723Z return mod(*inputs) 2025-09-07T08:03:17.5772019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5772355Z x = self.forward_features(x) 2025-09-07T08:03:17.5772706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5773047Z x = self.blocks(x) 2025-09-07T08:03:17.5773352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5773690Z x = self.se(x) 2025-09-07T08:03:17.5773993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5774337Z return x * self.gate(x_se) 2025-09-07T08:03:17.5774448Z 2025-09-07T08:03:17.5774555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5774890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5775199Z return mod(*inputs) 2025-09-07T08:03:17.5775510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5775855Z x = self.forward_features(x) 2025-09-07T08:03:17.5776199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5776535Z x = self.blocks(x) 2025-09-07T08:03:17.5776924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5777257Z x = self.se(x) 2025-09-07T08:03:17.5777557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5777889Z return x * self.gate(x_se) 2025-09-07T08:03:17.5777998Z 2025-09-07T08:03:17.5778098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5778432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5778733Z return mod(*inputs) 2025-09-07T08:03:17.5779071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5779410Z x = self.forward_features(x) 2025-09-07T08:03:17.5779739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5780077Z x = self.blocks(x) 2025-09-07T08:03:17.5780391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5780735Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5780856Z 2025-09-07T08:03:17.5780954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5781290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5781590Z return mod(*inputs) 2025-09-07T08:03:17.5781888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5782212Z x = self.forward_features(x) 2025-09-07T08:03:17.5782542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5782892Z x = self.blocks(x) 2025-09-07T08:03:17.5783200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5783535Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5783657Z 2025-09-07T08:03:17.5783762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5784094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5784397Z return mod(*inputs) 2025-09-07T08:03:17.5784699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5785024Z x = self.forward_features(x) 2025-09-07T08:03:17.5785356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5785692Z x = self.blocks(x) 2025-09-07T08:03:17.5786002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5786333Z x = self.bn1(x) 2025-09-07T08:03:17.5786603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5786904Z x = self.act(x) 2025-09-07T08:03:17.5786999Z 2025-09-07T08:03:17.5787098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5787431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5787731Z return mod(*inputs) 2025-09-07T08:03:17.5788020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5788340Z x = self.forward_features(x) 2025-09-07T08:03:17.5788677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5789019Z x = self.blocks(x) 2025-09-07T08:03:17.5789318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5789646Z x = self.bn1(x) 2025-09-07T08:03:17.5789925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5790224Z x = self.act(x) 2025-09-07T08:03:17.5790312Z 2025-09-07T08:03:17.5790417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5790742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5791040Z return mod(*inputs) 2025-09-07T08:03:17.5791338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5791655Z x = self.forward_features(x) 2025-09-07T08:03:17.5792007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5792357Z x = self.blocks(x) 2025-09-07T08:03:17.5792669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5792996Z x = self.bn2(x) 2025-09-07T08:03:17.5793276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5793570Z x = self.act(x) 2025-09-07T08:03:17.5793664Z 2025-09-07T08:03:17.5793761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5794096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5794397Z return mod(*inputs) 2025-09-07T08:03:17.5794688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5795016Z x = self.forward_features(x) 2025-09-07T08:03:17.5795351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5795739Z x = self.blocks(x) 2025-09-07T08:03:17.5796052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5796370Z x = self.bn2(x) 2025-09-07T08:03:17.5796648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5796950Z x = self.act(x) 2025-09-07T08:03:17.5797035Z 2025-09-07T08:03:17.5797123Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5797344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5797685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5797989Z return mod(*inputs) 2025-09-07T08:03:17.5798296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5798624Z x = self.forward_features(x) 2025-09-07T08:03:17.5798961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5799297Z x = self.blocks(x) 2025-09-07T08:03:17.5799609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5799943Z x = self.se(x) 2025-09-07T08:03:17.5800239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5800579Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5800710Z 2025-09-07T08:03:17.5800808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5801149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5801455Z return mod(*inputs) 2025-09-07T08:03:17.5801753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5802080Z x = self.forward_features(x) 2025-09-07T08:03:17.5802419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5802757Z x = self.blocks(x) 2025-09-07T08:03:17.5803063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5803395Z x = self.se(x) 2025-09-07T08:03:17.5803698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5804032Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5804137Z 2025-09-07T08:03:17.5804243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5804602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5804921Z return mod(*inputs) 2025-09-07T08:03:17.5805220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5805540Z x = self.forward_features(x) 2025-09-07T08:03:17.5805867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5806198Z x = self.blocks(x) 2025-09-07T08:03:17.5806509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5806837Z x = self.se(x) 2025-09-07T08:03:17.5807142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5807466Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5807577Z 2025-09-07T08:03:17.5807675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5808012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5808319Z return mod(*inputs) 2025-09-07T08:03:17.5808636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5808968Z x = self.forward_features(x) 2025-09-07T08:03:17.5809321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5809668Z x = self.blocks(x) 2025-09-07T08:03:17.5809992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5810327Z x = self.se(x) 2025-09-07T08:03:17.5810641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5810987Z return x * self.gate(x_se) 2025-09-07T08:03:17.5811101Z 2025-09-07T08:03:17.5811213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5811555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5811869Z return mod(*inputs) 2025-09-07T08:03:17.5812182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5812521Z x = self.forward_features(x) 2025-09-07T08:03:17.5812872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5813211Z x = self.blocks(x) 2025-09-07T08:03:17.5813532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5813870Z x = self.se(x) 2025-09-07T08:03:17.5814180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5814520Z return x * self.gate(x_se) 2025-09-07T08:03:17.5814643Z 2025-09-07T08:03:17.5814748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5815098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5815413Z return mod(*inputs) 2025-09-07T08:03:17.5815724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5816049Z x = self.forward_features(x) 2025-09-07T08:03:17.5816400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5816752Z x = self.blocks(x) 2025-09-07T08:03:17.5817073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5817405Z x = self.se(x) 2025-09-07T08:03:17.5817749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5818102Z return x * self.gate(x_se) 2025-09-07T08:03:17.5818212Z 2025-09-07T08:03:17.5818298Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5818530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5818861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5819164Z return mod(*inputs) 2025-09-07T08:03:17.5819465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5819791Z x = self.forward_features(x) 2025-09-07T08:03:17.5820116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5820449Z x = self.blocks(x) 2025-09-07T08:03:17.5820761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5821089Z x = self.bn1(x) 2025-09-07T08:03:17.5821369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5821663Z x = self.act(x) 2025-09-07T08:03:17.5821776Z 2025-09-07T08:03:17.5821875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5822209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5822513Z return mod(*inputs) 2025-09-07T08:03:17.5822807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5823129Z x = self.forward_features(x) 2025-09-07T08:03:17.5823465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5823802Z x = self.blocks(x) 2025-09-07T08:03:17.5824117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5824434Z x = self.bn1(x) 2025-09-07T08:03:17.5824715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5825022Z x = self.act(x) 2025-09-07T08:03:17.5825108Z 2025-09-07T08:03:17.5825216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5825544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5825848Z return mod(*inputs) 2025-09-07T08:03:17.5826148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5826477Z x = self.forward_features(x) 2025-09-07T08:03:17.5826809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5827136Z x = self.blocks(x) 2025-09-07T08:03:17.5827451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5827782Z x = self.bn2(x) 2025-09-07T08:03:17.5828065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5828358Z x = self.act(x) 2025-09-07T08:03:17.5828455Z 2025-09-07T08:03:17.5828556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5828895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5829197Z return mod(*inputs) 2025-09-07T08:03:17.5829492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5829806Z x = self.forward_features(x) 2025-09-07T08:03:17.5830142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5830479Z x = self.blocks(x) 2025-09-07T08:03:17.5830901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5831288Z x = self.bn2(x) 2025-09-07T08:03:17.5831581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5831904Z x = self.act(x) 2025-09-07T08:03:17.5832007Z 2025-09-07T08:03:17.5832093Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5832347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5832734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5833058Z return mod(*inputs) 2025-09-07T08:03:17.5833383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5833723Z x = self.forward_features(x) 2025-09-07T08:03:17.5834080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5834427Z x = self.blocks(x) 2025-09-07T08:03:17.5834756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5835115Z x = self.se(x) 2025-09-07T08:03:17.5835432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5835777Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5835911Z 2025-09-07T08:03:17.5836012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5836361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5836676Z return mod(*inputs) 2025-09-07T08:03:17.5836980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5837305Z x = self.forward_features(x) 2025-09-07T08:03:17.5837653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5837996Z x = self.blocks(x) 2025-09-07T08:03:17.5838318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5838648Z x = self.se(x) 2025-09-07T08:03:17.5838953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5839290Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5839395Z 2025-09-07T08:03:17.5839501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5839846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5840144Z return mod(*inputs) 2025-09-07T08:03:17.5840449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5840786Z x = self.forward_features(x) 2025-09-07T08:03:17.5841131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5841470Z x = self.blocks(x) 2025-09-07T08:03:17.5841792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5842127Z x = self.se(x) 2025-09-07T08:03:17.5842434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5842773Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5842881Z 2025-09-07T08:03:17.5842981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5843329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5843639Z return mod(*inputs) 2025-09-07T08:03:17.5843978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5844333Z x = self.forward_features(x) 2025-09-07T08:03:17.5844676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5845018Z x = self.blocks(x) 2025-09-07T08:03:17.5845335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5845667Z x = self.se(x) 2025-09-07T08:03:17.5845962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5846300Z return x * self.gate(x_se) 2025-09-07T08:03:17.5846418Z 2025-09-07T08:03:17.5846517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5846865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5847157Z return mod(*inputs) 2025-09-07T08:03:17.5847462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5847792Z x = self.forward_features(x) 2025-09-07T08:03:17.5848152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5848487Z x = self.blocks(x) 2025-09-07T08:03:17.5848788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5849118Z x = self.se(x) 2025-09-07T08:03:17.5849418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5849751Z return x * self.gate(x_se) 2025-09-07T08:03:17.5849860Z 2025-09-07T08:03:17.5849958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5850295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5850597Z return mod(*inputs) 2025-09-07T08:03:17.5850897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5851219Z x = self.forward_features(x) 2025-09-07T08:03:17.5851547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5851884Z x = self.blocks(x) 2025-09-07T08:03:17.5852192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5852511Z x = self.se(x) 2025-09-07T08:03:17.5852800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5853135Z return x * self.gate(x_se) 2025-09-07T08:03:17.5853248Z 2025-09-07T08:03:17.5853345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5853684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5853991Z return mod(*inputs) 2025-09-07T08:03:17.5854283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5854606Z x = self.forward_features(x) 2025-09-07T08:03:17.5854942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5855278Z x = self.blocks(x) 2025-09-07T08:03:17.5855578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5855916Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5856044Z 2025-09-07T08:03:17.5856143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5856478Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5856776Z return mod(*inputs) 2025-09-07T08:03:17.5857096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5857436Z x = self.forward_features(x) 2025-09-07T08:03:17.5857775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5858109Z x = self.blocks(x) 2025-09-07T08:03:17.5858413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.5858754Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.5858884Z 2025-09-07T08:03:17.5858981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5859321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5859624Z return mod(*inputs) 2025-09-07T08:03:17.5859919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5860516Z x = self.forward_features(x) 2025-09-07T08:03:17.5860856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5861222Z x = self.blocks(x) 2025-09-07T08:03:17.5861552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5861883Z x = self.bn1(x) 2025-09-07T08:03:17.5862176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5862484Z x = self.act(x) 2025-09-07T08:03:17.5862578Z 2025-09-07T08:03:17.5862687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5863023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5863333Z return mod(*inputs) 2025-09-07T08:03:17.5863645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5863976Z x = self.forward_features(x) 2025-09-07T08:03:17.5864320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5864657Z x = self.blocks(x) 2025-09-07T08:03:17.5864978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5865313Z x = self.bn1(x) 2025-09-07T08:03:17.5865599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5865898Z x = self.act(x) 2025-09-07T08:03:17.5865997Z 2025-09-07T08:03:17.5866095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5866443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5866754Z return mod(*inputs) 2025-09-07T08:03:17.5867063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5867386Z x = self.forward_features(x) 2025-09-07T08:03:17.5867729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5868068Z x = self.blocks(x) 2025-09-07T08:03:17.5868384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5868712Z x = self.bn2(x) 2025-09-07T08:03:17.5868999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5869306Z x = self.act(x) 2025-09-07T08:03:17.5869395Z 2025-09-07T08:03:17.5869501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5869843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5870187Z return mod(*inputs) 2025-09-07T08:03:17.5870489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5870835Z x = self.forward_features(x) 2025-09-07T08:03:17.5871172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5871500Z x = self.blocks(x) 2025-09-07T08:03:17.5871814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5872143Z x = self.bn2(x) 2025-09-07T08:03:17.5872424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5872727Z x = self.act(x) 2025-09-07T08:03:17.5872817Z 2025-09-07T08:03:17.5872898Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5873128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5873476Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5873784Z return mod(*inputs) 2025-09-07T08:03:17.5874075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5874414Z x = self.forward_features(x) 2025-09-07T08:03:17.5874755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5875096Z x = self.blocks(x) 2025-09-07T08:03:17.5875410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5875736Z x = self.se(x) 2025-09-07T08:03:17.5876040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5876381Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5876507Z 2025-09-07T08:03:17.5876616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5876946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5877257Z return mod(*inputs) 2025-09-07T08:03:17.5877558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5877884Z x = self.forward_features(x) 2025-09-07T08:03:17.5878221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5878554Z x = self.blocks(x) 2025-09-07T08:03:17.5878863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5879191Z x = self.se(x) 2025-09-07T08:03:17.5879496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5879821Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5879939Z 2025-09-07T08:03:17.5880038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5880374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5880678Z return mod(*inputs) 2025-09-07T08:03:17.5880982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5881302Z x = self.forward_features(x) 2025-09-07T08:03:17.5881633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5881970Z x = self.blocks(x) 2025-09-07T08:03:17.5882281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5882600Z x = self.se(x) 2025-09-07T08:03:17.5882905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5883266Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5883384Z 2025-09-07T08:03:17.5883491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5883841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5884142Z return mod(*inputs) 2025-09-07T08:03:17.5884449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5884783Z x = self.forward_features(x) 2025-09-07T08:03:17.5885127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5885462Z x = self.blocks(x) 2025-09-07T08:03:17.5885783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5886117Z x = self.se(x) 2025-09-07T08:03:17.5886432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5886775Z return x * self.gate(x_se) 2025-09-07T08:03:17.5886889Z 2025-09-07T08:03:17.5886991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5887349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5887651Z return mod(*inputs) 2025-09-07T08:03:17.5887952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5888267Z x = self.forward_features(x) 2025-09-07T08:03:17.5888616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5888955Z x = self.blocks(x) 2025-09-07T08:03:17.5889266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5889594Z x = self.se(x) 2025-09-07T08:03:17.5889891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5890224Z return x * self.gate(x_se) 2025-09-07T08:03:17.5890340Z 2025-09-07T08:03:17.5890440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5890777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5891072Z return mod(*inputs) 2025-09-07T08:03:17.5891375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5891698Z x = self.forward_features(x) 2025-09-07T08:03:17.5892037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5892370Z x = self.blocks(x) 2025-09-07T08:03:17.5892678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5893002Z x = self.se(x) 2025-09-07T08:03:17.5893306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5893636Z return x * self.gate(x_se) 2025-09-07T08:03:17.5893745Z 2025-09-07T08:03:17.5893825Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5894060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5894394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5894699Z return mod(*inputs) 2025-09-07T08:03:17.5895001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5895314Z x = self.forward_features(x) 2025-09-07T08:03:17.5895651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5895986Z x = self.blocks(x) 2025-09-07T08:03:17.5896330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5896667Z x = self.bn1(x) 2025-09-07T08:03:17.5896960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5897268Z x = self.act(x) 2025-09-07T08:03:17.5897361Z 2025-09-07T08:03:17.5897471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5897812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5898114Z return mod(*inputs) 2025-09-07T08:03:17.5898418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5898749Z x = self.forward_features(x) 2025-09-07T08:03:17.5899090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5899424Z x = self.blocks(x) 2025-09-07T08:03:17.5899741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5900084Z x = self.bn1(x) 2025-09-07T08:03:17.5900366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5900668Z x = self.act(x) 2025-09-07T08:03:17.5900756Z 2025-09-07T08:03:17.5900853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5901190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5901494Z return mod(*inputs) 2025-09-07T08:03:17.5901792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5902107Z x = self.forward_features(x) 2025-09-07T08:03:17.5902450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5902794Z x = self.blocks(x) 2025-09-07T08:03:17.5903108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5903440Z x = self.bn2(x) 2025-09-07T08:03:17.5903711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5904010Z x = self.act(x) 2025-09-07T08:03:17.5904097Z 2025-09-07T08:03:17.5904201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5904533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5904828Z return mod(*inputs) 2025-09-07T08:03:17.5905130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5905454Z x = self.forward_features(x) 2025-09-07T08:03:17.5905791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5906129Z x = self.blocks(x) 2025-09-07T08:03:17.5906431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5906756Z x = self.bn2(x) 2025-09-07T08:03:17.5907035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5907338Z x = self.act(x) 2025-09-07T08:03:17.5907423Z 2025-09-07T08:03:17.5907501Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5907732Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5908063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5908363Z return mod(*inputs) 2025-09-07T08:03:17.5908654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5909005Z x = self.forward_features(x) 2025-09-07T08:03:17.5909360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5909696Z x = self.blocks(x) 2025-09-07T08:03:17.5910005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5910319Z x = self.se(x) 2025-09-07T08:03:17.5910621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5910959Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5911081Z 2025-09-07T08:03:17.5911185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5911512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5911815Z return mod(*inputs) 2025-09-07T08:03:17.5912113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5912436Z x = self.forward_features(x) 2025-09-07T08:03:17.5912777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5913124Z x = self.blocks(x) 2025-09-07T08:03:17.5913439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5913764Z x = self.se(x) 2025-09-07T08:03:17.5914069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5914393Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5914507Z 2025-09-07T08:03:17.5914606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5914944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5915247Z return mod(*inputs) 2025-09-07T08:03:17.5915550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5915868Z x = self.forward_features(x) 2025-09-07T08:03:17.5916211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5916546Z x = self.blocks(x) 2025-09-07T08:03:17.5916856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5917174Z x = self.se(x) 2025-09-07T08:03:17.5917477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5917810Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5917913Z 2025-09-07T08:03:17.5918018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5918358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5918653Z return mod(*inputs) 2025-09-07T08:03:17.5918954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5919278Z x = self.forward_features(x) 2025-09-07T08:03:17.5919618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5919956Z x = self.blocks(x) 2025-09-07T08:03:17.5920262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5920589Z x = self.se(x) 2025-09-07T08:03:17.5920888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5921227Z return x * self.gate(x_se) 2025-09-07T08:03:17.5921338Z 2025-09-07T08:03:17.5921435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5921810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5922142Z return mod(*inputs) 2025-09-07T08:03:17.5922440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5922766Z x = self.forward_features(x) 2025-09-07T08:03:17.5923096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5923435Z x = self.blocks(x) 2025-09-07T08:03:17.5923751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5924077Z x = self.se(x) 2025-09-07T08:03:17.5924373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5924708Z return x * self.gate(x_se) 2025-09-07T08:03:17.5924821Z 2025-09-07T08:03:17.5924920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5925260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5925581Z return mod(*inputs) 2025-09-07T08:03:17.5925881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5926212Z x = self.forward_features(x) 2025-09-07T08:03:17.5926559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5926903Z x = self.blocks(x) 2025-09-07T08:03:17.5927216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5927549Z x = self.se(x) 2025-09-07T08:03:17.5927858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5928198Z return x * self.gate(x_se) 2025-09-07T08:03:17.5928314Z 2025-09-07T08:03:17.5928406Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5928636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5928981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5929289Z return mod(*inputs) 2025-09-07T08:03:17.5929594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5929919Z x = self.forward_features(x) 2025-09-07T08:03:17.5930263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5930615Z x = self.blocks(x) 2025-09-07T08:03:17.5930979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5931319Z x = self.bn1(x) 2025-09-07T08:03:17.5931603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5931919Z x = self.act(x) 2025-09-07T08:03:17.5932012Z 2025-09-07T08:03:17.5932126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5932480Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5932776Z return mod(*inputs) 2025-09-07T08:03:17.5933081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5933407Z x = self.forward_features(x) 2025-09-07T08:03:17.5933747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5934075Z x = self.blocks(x) 2025-09-07T08:03:17.5934386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5934717Z x = self.bn1(x) 2025-09-07T08:03:17.5935053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5935376Z x = self.act(x) 2025-09-07T08:03:17.5935467Z 2025-09-07T08:03:17.5935565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5935898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5936199Z return mod(*inputs) 2025-09-07T08:03:17.5936498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5936806Z x = self.forward_features(x) 2025-09-07T08:03:17.5937140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5937478Z x = self.blocks(x) 2025-09-07T08:03:17.5937787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5938114Z x = self.bn2(x) 2025-09-07T08:03:17.5938384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5938712Z x = self.act(x) 2025-09-07T08:03:17.5938808Z 2025-09-07T08:03:17.5938904Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5939240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5939534Z return mod(*inputs) 2025-09-07T08:03:17.5939831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5940151Z x = self.forward_features(x) 2025-09-07T08:03:17.5940492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5940826Z x = self.blocks(x) 2025-09-07T08:03:17.5941128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5941458Z x = self.bn2(x) 2025-09-07T08:03:17.5941739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5942046Z x = self.act(x) 2025-09-07T08:03:17.5942131Z 2025-09-07T08:03:17.5942210Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5942440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5942778Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5943079Z return mod(*inputs) 2025-09-07T08:03:17.5943383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5943696Z x = self.forward_features(x) 2025-09-07T08:03:17.5944033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5944370Z x = self.blocks(x) 2025-09-07T08:03:17.5944691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5945013Z x = self.se(x) 2025-09-07T08:03:17.5945327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5945670Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5945793Z 2025-09-07T08:03:17.5945898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5946236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5946533Z return mod(*inputs) 2025-09-07T08:03:17.5946838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5947161Z x = self.forward_features(x) 2025-09-07T08:03:17.5947565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5947902Z x = self.blocks(x) 2025-09-07T08:03:17.5948233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5948567Z x = self.se(x) 2025-09-07T08:03:17.5948877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5949210Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5949316Z 2025-09-07T08:03:17.5949413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5949756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5950065Z return mod(*inputs) 2025-09-07T08:03:17.5950367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5950688Z x = self.forward_features(x) 2025-09-07T08:03:17.5951036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5951382Z x = self.blocks(x) 2025-09-07T08:03:17.5951702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5952049Z x = self.se(x) 2025-09-07T08:03:17.5952346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5952679Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5952797Z 2025-09-07T08:03:17.5952897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5953235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5953533Z return mod(*inputs) 2025-09-07T08:03:17.5953838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5954165Z x = self.forward_features(x) 2025-09-07T08:03:17.5954503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5954844Z x = self.blocks(x) 2025-09-07T08:03:17.5955154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5955486Z x = self.se(x) 2025-09-07T08:03:17.5955789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5956126Z return x * self.gate(x_se) 2025-09-07T08:03:17.5956236Z 2025-09-07T08:03:17.5956338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5956682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5956987Z return mod(*inputs) 2025-09-07T08:03:17.5957295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5957621Z x = self.forward_features(x) 2025-09-07T08:03:17.5957953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5958296Z x = self.blocks(x) 2025-09-07T08:03:17.5958611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5958943Z x = self.se(x) 2025-09-07T08:03:17.5959243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5959584Z return x * self.gate(x_se) 2025-09-07T08:03:17.5959705Z 2025-09-07T08:03:17.5959805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5960147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5960457Z return mod(*inputs) 2025-09-07T08:03:17.5960786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5961125Z x = self.forward_features(x) 2025-09-07T08:03:17.5961462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5961798Z x = self.blocks(x) 2025-09-07T08:03:17.5962098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5962431Z x = self.se(x) 2025-09-07T08:03:17.5962734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5963069Z return x * self.gate(x_se) 2025-09-07T08:03:17.5963179Z 2025-09-07T08:03:17.5963266Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5963492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5963829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5964134Z return mod(*inputs) 2025-09-07T08:03:17.5964435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5964779Z x = self.forward_features(x) 2025-09-07T08:03:17.5965117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5965459Z x = self.blocks(x) 2025-09-07T08:03:17.5965773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5966101Z x = self.bn1(x) 2025-09-07T08:03:17.5966372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5966680Z x = self.act(x) 2025-09-07T08:03:17.5966779Z 2025-09-07T08:03:17.5966875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5967211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5967503Z return mod(*inputs) 2025-09-07T08:03:17.5967805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5968126Z x = self.forward_features(x) 2025-09-07T08:03:17.5968465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5968805Z x = self.blocks(x) 2025-09-07T08:03:17.5969107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.5969434Z x = self.bn1(x) 2025-09-07T08:03:17.5969716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5970019Z x = self.act(x) 2025-09-07T08:03:17.5970105Z 2025-09-07T08:03:17.5970205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5970540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5970847Z return mod(*inputs) 2025-09-07T08:03:17.5971151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5971475Z x = self.forward_features(x) 2025-09-07T08:03:17.5971804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5972145Z x = self.blocks(x) 2025-09-07T08:03:17.5972454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5972780Z x = self.bn2(x) 2025-09-07T08:03:17.5973056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5973359Z x = self.act(x) 2025-09-07T08:03:17.5973453Z 2025-09-07T08:03:17.5973583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5973938Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5974249Z return mod(*inputs) 2025-09-07T08:03:17.5974543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5974871Z x = self.forward_features(x) 2025-09-07T08:03:17.5975209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5975546Z x = self.blocks(x) 2025-09-07T08:03:17.5975855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.5976180Z x = self.bn2(x) 2025-09-07T08:03:17.5976461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.5976766Z x = self.act(x) 2025-09-07T08:03:17.5976858Z 2025-09-07T08:03:17.5976946Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.5977175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5977524Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5977829Z return mod(*inputs) 2025-09-07T08:03:17.5978130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5978442Z x = self.forward_features(x) 2025-09-07T08:03:17.5978783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5979116Z x = self.blocks(x) 2025-09-07T08:03:17.5979424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5979751Z x = self.se(x) 2025-09-07T08:03:17.5980047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.5980383Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.5980505Z 2025-09-07T08:03:17.5980612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5980944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5981241Z return mod(*inputs) 2025-09-07T08:03:17.5981537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5981856Z x = self.forward_features(x) 2025-09-07T08:03:17.5982190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5982523Z x = self.blocks(x) 2025-09-07T08:03:17.5982824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5983145Z x = self.se(x) 2025-09-07T08:03:17.5983452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5983785Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5983891Z 2025-09-07T08:03:17.5983988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5984328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5984629Z return mod(*inputs) 2025-09-07T08:03:17.5984932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5985254Z x = self.forward_features(x) 2025-09-07T08:03:17.5985584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5985918Z x = self.blocks(x) 2025-09-07T08:03:17.5986262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5986588Z x = self.se(x) 2025-09-07T08:03:17.5986897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.5987231Z x_se = self.act1(x_se) 2025-09-07T08:03:17.5987345Z 2025-09-07T08:03:17.5987443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5987782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5988089Z return mod(*inputs) 2025-09-07T08:03:17.5988382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5988710Z x = self.forward_features(x) 2025-09-07T08:03:17.5989044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5989377Z x = self.blocks(x) 2025-09-07T08:03:17.5989681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5990007Z x = self.se(x) 2025-09-07T08:03:17.5990308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5990657Z return x * self.gate(x_se) 2025-09-07T08:03:17.5990768Z 2025-09-07T08:03:17.5990875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5991205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5991512Z return mod(*inputs) 2025-09-07T08:03:17.5991815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5992137Z x = self.forward_features(x) 2025-09-07T08:03:17.5992467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5992806Z x = self.blocks(x) 2025-09-07T08:03:17.5993121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5993453Z x = self.se(x) 2025-09-07T08:03:17.5993754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5994074Z return x * self.gate(x_se) 2025-09-07T08:03:17.5994191Z 2025-09-07T08:03:17.5994287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5994621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5994921Z return mod(*inputs) 2025-09-07T08:03:17.5995213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5995535Z x = self.forward_features(x) 2025-09-07T08:03:17.5995874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5996209Z x = self.blocks(x) 2025-09-07T08:03:17.5996516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.5996834Z x = self.se(x) 2025-09-07T08:03:17.5997134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.5997472Z return x * self.gate(x_se) 2025-09-07T08:03:17.5997580Z 2025-09-07T08:03:17.5997685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.5998012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.5998316Z return mod(*inputs) 2025-09-07T08:03:17.5998620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.5998946Z x = self.forward_features(x) 2025-09-07T08:03:17.5999319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.5999662Z x = self.blocks(x) 2025-09-07T08:03:17.5999972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.6000313Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.6000436Z 2025-09-07T08:03:17.6000541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6000870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6001184Z return mod(*inputs) 2025-09-07T08:03:17.6001482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6001805Z x = self.forward_features(x) 2025-09-07T08:03:17.6002149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6002480Z x = self.blocks(x) 2025-09-07T08:03:17.6002795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.6003165Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.6003286Z 2025-09-07T08:03:17.6003392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6003721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6004026Z return mod(*inputs) 2025-09-07T08:03:17.6004330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6004655Z x = self.forward_features(x) 2025-09-07T08:03:17.6004993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6005326Z x = self.blocks(x) 2025-09-07T08:03:17.6005645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6005978Z x = self.bn1(x) 2025-09-07T08:03:17.6006261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6006561Z x = self.act(x) 2025-09-07T08:03:17.6006658Z 2025-09-07T08:03:17.6006754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6007093Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6007395Z return mod(*inputs) 2025-09-07T08:03:17.6007695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6008013Z x = self.forward_features(x) 2025-09-07T08:03:17.6008351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6008688Z x = self.blocks(x) 2025-09-07T08:03:17.6009004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6009325Z x = self.bn1(x) 2025-09-07T08:03:17.6009605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6009909Z x = self.act(x) 2025-09-07T08:03:17.6009993Z 2025-09-07T08:03:17.6010100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6010434Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6010729Z return mod(*inputs) 2025-09-07T08:03:17.6011028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6011354Z x = self.forward_features(x) 2025-09-07T08:03:17.6011691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6012019Z x = self.blocks(x) 2025-09-07T08:03:17.6012365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6012719Z x = self.bn2(x) 2025-09-07T08:03:17.6012999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6013304Z x = self.act(x) 2025-09-07T08:03:17.6013390Z 2025-09-07T08:03:17.6013490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6013821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6014126Z return mod(*inputs) 2025-09-07T08:03:17.6014428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6014740Z x = self.forward_features(x) 2025-09-07T08:03:17.6015077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6015412Z x = self.blocks(x) 2025-09-07T08:03:17.6015722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6016069Z x = self.bn2(x) 2025-09-07T08:03:17.6016345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6016645Z x = self.act(x) 2025-09-07T08:03:17.6016739Z 2025-09-07T08:03:17.6016817Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6017042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6017369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6017672Z return mod(*inputs) 2025-09-07T08:03:17.6017974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6018298Z x = self.forward_features(x) 2025-09-07T08:03:17.6018634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6018967Z x = self.blocks(x) 2025-09-07T08:03:17.6019276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6019602Z x = self.se(x) 2025-09-07T08:03:17.6019907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6020239Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6020373Z 2025-09-07T08:03:17.6020470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6020803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6021104Z return mod(*inputs) 2025-09-07T08:03:17.6021402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6021718Z x = self.forward_features(x) 2025-09-07T08:03:17.6022052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6022387Z x = self.blocks(x) 2025-09-07T08:03:17.6022700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6023017Z x = self.se(x) 2025-09-07T08:03:17.6023321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6023647Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6023749Z 2025-09-07T08:03:17.6023855Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6024189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6024484Z return mod(*inputs) 2025-09-07T08:03:17.6024813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6025152Z x = self.forward_features(x) 2025-09-07T08:03:17.6025493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6025829Z x = self.blocks(x) 2025-09-07T08:03:17.6026142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6026470Z x = self.se(x) 2025-09-07T08:03:17.6026772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6027105Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6027209Z 2025-09-07T08:03:17.6027307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6027652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6027960Z return mod(*inputs) 2025-09-07T08:03:17.6028264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6028584Z x = self.forward_features(x) 2025-09-07T08:03:17.6028936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6029271Z x = self.blocks(x) 2025-09-07T08:03:17.6029580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6029905Z x = self.se(x) 2025-09-07T08:03:17.6030196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6030533Z return x * self.gate(x_se) 2025-09-07T08:03:17.6030650Z 2025-09-07T08:03:17.6030747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6031123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6031422Z return mod(*inputs) 2025-09-07T08:03:17.6031727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6032061Z x = self.forward_features(x) 2025-09-07T08:03:17.6032399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6032738Z x = self.blocks(x) 2025-09-07T08:03:17.6033045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6033374Z x = self.se(x) 2025-09-07T08:03:17.6033672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6034010Z return x * self.gate(x_se) 2025-09-07T08:03:17.6034118Z 2025-09-07T08:03:17.6034215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6034556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6034859Z return mod(*inputs) 2025-09-07T08:03:17.6035164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6035488Z x = self.forward_features(x) 2025-09-07T08:03:17.6035813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6036148Z x = self.blocks(x) 2025-09-07T08:03:17.6036458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6036786Z x = self.se(x) 2025-09-07T08:03:17.6037079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6037407Z return x * self.gate(x_se) 2025-09-07T08:03:17.6037523Z 2025-09-07T08:03:17.6037599Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6037892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6038262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6038560Z return mod(*inputs) 2025-09-07T08:03:17.6038860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6039185Z x = self.forward_features(x) 2025-09-07T08:03:17.6039527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6039858Z x = self.blocks(x) 2025-09-07T08:03:17.6040171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6040501Z x = self.bn1(x) 2025-09-07T08:03:17.6040786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6041095Z x = self.act(x) 2025-09-07T08:03:17.6041182Z 2025-09-07T08:03:17.6041283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6041624Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6041955Z return mod(*inputs) 2025-09-07T08:03:17.6042253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6042574Z x = self.forward_features(x) 2025-09-07T08:03:17.6042912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6043249Z x = self.blocks(x) 2025-09-07T08:03:17.6043563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6043897Z x = self.bn1(x) 2025-09-07T08:03:17.6044177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6044483Z x = self.act(x) 2025-09-07T08:03:17.6044572Z 2025-09-07T08:03:17.6044680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6045020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6045320Z return mod(*inputs) 2025-09-07T08:03:17.6045621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6045942Z x = self.forward_features(x) 2025-09-07T08:03:17.6046281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6046618Z x = self.blocks(x) 2025-09-07T08:03:17.6046922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6047251Z x = self.bn2(x) 2025-09-07T08:03:17.6047536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6047839Z x = self.act(x) 2025-09-07T08:03:17.6047924Z 2025-09-07T08:03:17.6048022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6048366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6048674Z return mod(*inputs) 2025-09-07T08:03:17.6048975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6049298Z x = self.forward_features(x) 2025-09-07T08:03:17.6049626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6049972Z x = self.blocks(x) 2025-09-07T08:03:17.6050288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6050614Z x = self.bn2(x) 2025-09-07T08:03:17.6050920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6051231Z x = self.act(x) 2025-09-07T08:03:17.6051326Z 2025-09-07T08:03:17.6051402Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6051635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6051969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6052266Z return mod(*inputs) 2025-09-07T08:03:17.6052568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6052890Z x = self.forward_features(x) 2025-09-07T08:03:17.6053223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6053552Z x = self.blocks(x) 2025-09-07T08:03:17.6053869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6054198Z x = self.se(x) 2025-09-07T08:03:17.6054500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6054854Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6054976Z 2025-09-07T08:03:17.6055074Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6055415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6055722Z return mod(*inputs) 2025-09-07T08:03:17.6056021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6056335Z x = self.forward_features(x) 2025-09-07T08:03:17.6056673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6057013Z x = self.blocks(x) 2025-09-07T08:03:17.6057326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6057655Z x = self.se(x) 2025-09-07T08:03:17.6057959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6058292Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6058397Z 2025-09-07T08:03:17.6058503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6058848Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6059143Z return mod(*inputs) 2025-09-07T08:03:17.6059444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6059766Z x = self.forward_features(x) 2025-09-07T08:03:17.6060100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6060435Z x = self.blocks(x) 2025-09-07T08:03:17.6060737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6061067Z x = self.se(x) 2025-09-07T08:03:17.6061370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6061699Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6061804Z 2025-09-07T08:03:17.6061899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6062236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6062538Z return mod(*inputs) 2025-09-07T08:03:17.6062833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6063153Z x = self.forward_features(x) 2025-09-07T08:03:17.6063522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6063874Z x = self.blocks(x) 2025-09-07T08:03:17.6064187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6064514Z x = self.se(x) 2025-09-07T08:03:17.6064805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6065136Z return x * self.gate(x_se) 2025-09-07T08:03:17.6065251Z 2025-09-07T08:03:17.6065348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6065681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6065980Z return mod(*inputs) 2025-09-07T08:03:17.6066272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6066597Z x = self.forward_features(x) 2025-09-07T08:03:17.6066933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6067266Z x = self.blocks(x) 2025-09-07T08:03:17.6067589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6067913Z x = self.se(x) 2025-09-07T08:03:17.6068214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6068548Z return x * self.gate(x_se) 2025-09-07T08:03:17.6068657Z 2025-09-07T08:03:17.6068765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6069095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6069396Z return mod(*inputs) 2025-09-07T08:03:17.6069695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6070018Z x = self.forward_features(x) 2025-09-07T08:03:17.6070350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6070689Z x = self.blocks(x) 2025-09-07T08:03:17.6071000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6071328Z x = self.se(x) 2025-09-07T08:03:17.6071627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6071954Z return x * self.gate(x_se) 2025-09-07T08:03:17.6072072Z 2025-09-07T08:03:17.6072151Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6072384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6072719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6073015Z return mod(*inputs) 2025-09-07T08:03:17.6073321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6073644Z x = self.forward_features(x) 2025-09-07T08:03:17.6073981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6074312Z x = self.blocks(x) 2025-09-07T08:03:17.6074612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6074937Z x = self.bn1(x) 2025-09-07T08:03:17.6075217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6075520Z x = self.act(x) 2025-09-07T08:03:17.6075607Z 2025-09-07T08:03:17.6075704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6076043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6076376Z return mod(*inputs) 2025-09-07T08:03:17.6076697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6077021Z x = self.forward_features(x) 2025-09-07T08:03:17.6077349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6077685Z x = self.blocks(x) 2025-09-07T08:03:17.6078000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6078328Z x = self.bn1(x) 2025-09-07T08:03:17.6078604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6078905Z x = self.act(x) 2025-09-07T08:03:17.6078998Z 2025-09-07T08:03:17.6079097Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6079437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6079739Z return mod(*inputs) 2025-09-07T08:03:17.6080029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6080373Z x = self.forward_features(x) 2025-09-07T08:03:17.6080706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6081039Z x = self.blocks(x) 2025-09-07T08:03:17.6081341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6081667Z x = self.bn2(x) 2025-09-07T08:03:17.6081940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6082238Z x = self.act(x) 2025-09-07T08:03:17.6082324Z 2025-09-07T08:03:17.6082428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6082756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6083061Z return mod(*inputs) 2025-09-07T08:03:17.6083359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6083681Z x = self.forward_features(x) 2025-09-07T08:03:17.6084011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6084344Z x = self.blocks(x) 2025-09-07T08:03:17.6084654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6084979Z x = self.bn2(x) 2025-09-07T08:03:17.6085247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6085550Z x = self.act(x) 2025-09-07T08:03:17.6085643Z 2025-09-07T08:03:17.6085722Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6085955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6086293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6086586Z return mod(*inputs) 2025-09-07T08:03:17.6086937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6087330Z x = self.forward_features(x) 2025-09-07T08:03:17.6087761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6088276Z x = self.blocks(x) 2025-09-07T08:03:17.6088657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6089031Z x = self.se(x) 2025-09-07T08:03:17.6089402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6089842Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6090028Z 2025-09-07T08:03:17.6090139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6090573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6090660Z return mod(*inputs) 2025-09-07T08:03:17.6090903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6090991Z x = self.forward_features(x) 2025-09-07T08:03:17.6091216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6091356Z x = self.blocks(x) 2025-09-07T08:03:17.6091586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6091690Z x = self.se(x) 2025-09-07T08:03:17.6091951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6092040Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6092058Z 2025-09-07T08:03:17.6092193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6092428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6092535Z return mod(*inputs) 2025-09-07T08:03:17.6092753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6092865Z x = self.forward_features(x) 2025-09-07T08:03:17.6093090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6093195Z x = self.blocks(x) 2025-09-07T08:03:17.6093460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6093540Z x = self.se(x) 2025-09-07T08:03:17.6121248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6121401Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6121413Z 2025-09-07T08:03:17.6121552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6121779Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6121853Z return mod(*inputs) 2025-09-07T08:03:17.6122094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6122178Z x = self.forward_features(x) 2025-09-07T08:03:17.6122416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6122489Z x = self.blocks(x) 2025-09-07T08:03:17.6122713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6122777Z x = self.se(x) 2025-09-07T08:03:17.6123007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6123082Z return x * self.gate(x_se) 2025-09-07T08:03:17.6123087Z 2025-09-07T08:03:17.6123204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6123398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6123465Z return mod(*inputs) 2025-09-07T08:03:17.6123681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6123750Z x = self.forward_features(x) 2025-09-07T08:03:17.6123979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6124043Z x = self.blocks(x) 2025-09-07T08:03:17.6124368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6124461Z x = self.se(x) 2025-09-07T08:03:17.6124676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6124757Z return x * self.gate(x_se) 2025-09-07T08:03:17.6124760Z 2025-09-07T08:03:17.6124864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6125071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6125137Z return mod(*inputs) 2025-09-07T08:03:17.6125340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6125422Z x = self.forward_features(x) 2025-09-07T08:03:17.6125648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6125720Z x = self.blocks(x) 2025-09-07T08:03:17.6125936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6125999Z x = self.se(x) 2025-09-07T08:03:17.6126249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6126321Z return x * self.gate(x_se) 2025-09-07T08:03:17.6126325Z 2025-09-07T08:03:17.6126417Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6126522Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6126720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6126783Z return mod(*inputs) 2025-09-07T08:03:17.6126983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6127061Z x = self.forward_features(x) 2025-09-07T08:03:17.6127283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6127356Z x = self.blocks(x) 2025-09-07T08:03:17.6127567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6127629Z x = self.bn1(x) 2025-09-07T08:03:17.6127828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6127890Z x = self.act(x) 2025-09-07T08:03:17.6127893Z 2025-09-07T08:03:17.6127998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6128185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6128248Z return mod(*inputs) 2025-09-07T08:03:17.6128459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6128525Z x = self.forward_features(x) 2025-09-07T08:03:17.6128754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6128817Z x = self.blocks(x) 2025-09-07T08:03:17.6129031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6129100Z x = self.bn1(x) 2025-09-07T08:03:17.6129288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6129354Z x = self.act(x) 2025-09-07T08:03:17.6129358Z 2025-09-07T08:03:17.6129457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6129649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6129712Z return mod(*inputs) 2025-09-07T08:03:17.6129907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6130015Z x = self.forward_features(x) 2025-09-07T08:03:17.6130234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6130321Z x = self.blocks(x) 2025-09-07T08:03:17.6130530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6130588Z x = self.bn2(x) 2025-09-07T08:03:17.6130849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6130931Z x = self.act(x) 2025-09-07T08:03:17.6130935Z 2025-09-07T08:03:17.6131048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6131234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6131298Z return mod(*inputs) 2025-09-07T08:03:17.6131503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6131574Z x = self.forward_features(x) 2025-09-07T08:03:17.6131800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6131913Z x = self.blocks(x) 2025-09-07T08:03:17.6132130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6132199Z x = self.bn2(x) 2025-09-07T08:03:17.6132388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6132456Z x = self.act(x) 2025-09-07T08:03:17.6132459Z 2025-09-07T08:03:17.6132541Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6132639Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6132836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6132902Z return mod(*inputs) 2025-09-07T08:03:17.6133116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6133188Z x = self.forward_features(x) 2025-09-07T08:03:17.6133415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6133477Z x = self.blocks(x) 2025-09-07T08:03:17.6133687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6133757Z x = self.se(x) 2025-09-07T08:03:17.6133969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6134053Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6134057Z 2025-09-07T08:03:17.6134155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6134342Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6134418Z return mod(*inputs) 2025-09-07T08:03:17.6134615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6134692Z x = self.forward_features(x) 2025-09-07T08:03:17.6134907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6134968Z x = self.blocks(x) 2025-09-07T08:03:17.6135183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6135242Z x = self.se(x) 2025-09-07T08:03:17.6135457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6135526Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6135529Z 2025-09-07T08:03:17.6135633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6135860Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6135941Z return mod(*inputs) 2025-09-07T08:03:17.6136148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6136217Z x = self.forward_features(x) 2025-09-07T08:03:17.6136440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6136499Z x = self.blocks(x) 2025-09-07T08:03:17.6136711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6136779Z x = self.se(x) 2025-09-07T08:03:17.6136987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6137065Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6137068Z 2025-09-07T08:03:17.6137170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6137353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6137429Z return mod(*inputs) 2025-09-07T08:03:17.6137642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6137718Z x = self.forward_features(x) 2025-09-07T08:03:17.6137935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6137998Z x = self.blocks(x) 2025-09-07T08:03:17.6138216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6138277Z x = self.se(x) 2025-09-07T08:03:17.6138492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6138561Z return x * self.gate(x_se) 2025-09-07T08:03:17.6138564Z 2025-09-07T08:03:17.6138671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6138855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6138921Z return mod(*inputs) 2025-09-07T08:03:17.6139126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6139191Z x = self.forward_features(x) 2025-09-07T08:03:17.6139413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6139474Z x = self.blocks(x) 2025-09-07T08:03:17.6139682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6139751Z x = self.se(x) 2025-09-07T08:03:17.6139958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6140036Z return x * self.gate(x_se) 2025-09-07T08:03:17.6140040Z 2025-09-07T08:03:17.6140134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6140318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6140392Z return mod(*inputs) 2025-09-07T08:03:17.6140587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6140662Z x = self.forward_features(x) 2025-09-07T08:03:17.6140879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6140940Z x = self.blocks(x) 2025-09-07T08:03:17.6141156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6141216Z x = self.se(x) 2025-09-07T08:03:17.6141460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6141541Z return x * self.gate(x_se) 2025-09-07T08:03:17.6141545Z 2025-09-07T08:03:17.6141648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6141832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6141893Z return mod(*inputs) 2025-09-07T08:03:17.6142095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6142161Z x = self.forward_features(x) 2025-09-07T08:03:17.6142384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6142444Z x = self.blocks(x) 2025-09-07T08:03:17.6142652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.6142733Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.6142739Z 2025-09-07T08:03:17.6142835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6143032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6143397Z return mod(*inputs) 2025-09-07T08:03:17.6143592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6143671Z x = self.forward_features(x) 2025-09-07T08:03:17.6143888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6143961Z x = self.blocks(x) 2025-09-07T08:03:17.6144167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T08:03:17.6144238Z x = self.drop_path(x) + shortcut 2025-09-07T08:03:17.6144249Z 2025-09-07T08:03:17.6144346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6144531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6144608Z return mod(*inputs) 2025-09-07T08:03:17.6144807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6144884Z x = self.forward_features(x) 2025-09-07T08:03:17.6145105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6145166Z x = self.blocks(x) 2025-09-07T08:03:17.6145381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6145440Z x = self.bn1(x) 2025-09-07T08:03:17.6145635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6145697Z x = self.act(x) 2025-09-07T08:03:17.6145700Z 2025-09-07T08:03:17.6145797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6145990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6146053Z return mod(*inputs) 2025-09-07T08:03:17.6146257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6146324Z x = self.forward_features(x) 2025-09-07T08:03:17.6146538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6146609Z x = self.blocks(x) 2025-09-07T08:03:17.6146815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6146881Z x = self.bn1(x) 2025-09-07T08:03:17.6147065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6147124Z x = self.act(x) 2025-09-07T08:03:17.6147134Z 2025-09-07T08:03:17.6147261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6147461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6147536Z return mod(*inputs) 2025-09-07T08:03:17.6147730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6147805Z x = self.forward_features(x) 2025-09-07T08:03:17.6148022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6148083Z x = self.blocks(x) 2025-09-07T08:03:17.6148302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6148361Z x = self.bn2(x) 2025-09-07T08:03:17.6148553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6148616Z x = self.act(x) 2025-09-07T08:03:17.6148620Z 2025-09-07T08:03:17.6148718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6148906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6148984Z return mod(*inputs) 2025-09-07T08:03:17.6149191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6149258Z x = self.forward_features(x) 2025-09-07T08:03:17.6149474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6149546Z x = self.blocks(x) 2025-09-07T08:03:17.6149758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6149827Z x = self.bn2(x) 2025-09-07T08:03:17.6150013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6150071Z x = self.act(x) 2025-09-07T08:03:17.6150084Z 2025-09-07T08:03:17.6150165Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6150262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6150451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6150515Z return mod(*inputs) 2025-09-07T08:03:17.6150723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6150789Z x = self.forward_features(x) 2025-09-07T08:03:17.6151005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6151076Z x = self.blocks(x) 2025-09-07T08:03:17.6151287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6151353Z x = self.se(x) 2025-09-07T08:03:17.6151563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6151637Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6151642Z 2025-09-07T08:03:17.6151747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6151927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6151999Z return mod(*inputs) 2025-09-07T08:03:17.6152191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6152256Z x = self.forward_features(x) 2025-09-07T08:03:17.6152479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6152538Z x = self.blocks(x) 2025-09-07T08:03:17.6152786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6152859Z x = self.se(x) 2025-09-07T08:03:17.6153069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6153145Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6153149Z 2025-09-07T08:03:17.6153244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6153440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6153503Z return mod(*inputs) 2025-09-07T08:03:17.6153707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6153773Z x = self.forward_features(x) 2025-09-07T08:03:17.6153993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6154060Z x = self.blocks(x) 2025-09-07T08:03:17.6154275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6154341Z x = self.se(x) 2025-09-07T08:03:17.6154549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6154630Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6154633Z 2025-09-07T08:03:17.6154738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6154921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6154991Z return mod(*inputs) 2025-09-07T08:03:17.6155187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6155254Z x = self.forward_features(x) 2025-09-07T08:03:17.6155481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6155543Z x = self.blocks(x) 2025-09-07T08:03:17.6155762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6155825Z x = self.se(x) 2025-09-07T08:03:17.6156036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6156103Z return x * self.gate(x_se) 2025-09-07T08:03:17.6156106Z 2025-09-07T08:03:17.6156202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6156394Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6156456Z return mod(*inputs) 2025-09-07T08:03:17.6156661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6156728Z x = self.forward_features(x) 2025-09-07T08:03:17.6156946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6157019Z x = self.blocks(x) 2025-09-07T08:03:17.6157226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6157292Z x = self.se(x) 2025-09-07T08:03:17.6157510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6157577Z return x * self.gate(x_se) 2025-09-07T08:03:17.6157580Z 2025-09-07T08:03:17.6157675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6157865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6157927Z return mod(*inputs) 2025-09-07T08:03:17.6158127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6158192Z x = self.forward_features(x) 2025-09-07T08:03:17.6158438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6158543Z x = self.blocks(x) 2025-09-07T08:03:17.6158755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6158821Z x = self.se(x) 2025-09-07T08:03:17.6159030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6159109Z return x * self.gate(x_se) 2025-09-07T08:03:17.6159112Z 2025-09-07T08:03:17.6159188Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6159285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6159474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6159536Z return mod(*inputs) 2025-09-07T08:03:17.6159742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6159809Z x = self.forward_features(x) 2025-09-07T08:03:17.6160025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6160112Z x = self.blocks(x) 2025-09-07T08:03:17.6160319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6160384Z x = self.bn1(x) 2025-09-07T08:03:17.6160570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6160630Z x = self.act(x) 2025-09-07T08:03:17.6160633Z 2025-09-07T08:03:17.6160738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6160919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6160987Z return mod(*inputs) 2025-09-07T08:03:17.6161184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6161251Z x = self.forward_features(x) 2025-09-07T08:03:17.6161476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6161538Z x = self.blocks(x) 2025-09-07T08:03:17.6161752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6161814Z x = self.bn1(x) 2025-09-07T08:03:17.6162003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6162062Z x = self.act(x) 2025-09-07T08:03:17.6162065Z 2025-09-07T08:03:17.6162162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6162351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6162413Z return mod(*inputs) 2025-09-07T08:03:17.6162623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6162691Z x = self.forward_features(x) 2025-09-07T08:03:17.6162906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6162978Z x = self.blocks(x) 2025-09-07T08:03:17.6163186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6163254Z x = self.bn2(x) 2025-09-07T08:03:17.6163438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6163497Z x = self.act(x) 2025-09-07T08:03:17.6163500Z 2025-09-07T08:03:17.6163604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6163782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6163882Z return mod(*inputs) 2025-09-07T08:03:17.6164094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6164162Z x = self.forward_features(x) 2025-09-07T08:03:17.6164384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6164444Z x = self.blocks(x) 2025-09-07T08:03:17.6164658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6164717Z x = self.bn2(x) 2025-09-07T08:03:17.6164906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6164964Z x = self.act(x) 2025-09-07T08:03:17.6164966Z 2025-09-07T08:03:17.6165044Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6165145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6165328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6165397Z return mod(*inputs) 2025-09-07T08:03:17.6165609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6165675Z x = self.forward_features(x) 2025-09-07T08:03:17.6165901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6165961Z x = self.blocks(x) 2025-09-07T08:03:17.6166180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6166235Z x = self.se(x) 2025-09-07T08:03:17.6166445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6166524Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6166527Z 2025-09-07T08:03:17.6166623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6166813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6166877Z return mod(*inputs) 2025-09-07T08:03:17.6167072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6167148Z x = self.forward_features(x) 2025-09-07T08:03:17.6167360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6167428Z x = self.blocks(x) 2025-09-07T08:03:17.6167636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6167703Z x = self.se(x) 2025-09-07T08:03:17.6167911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6167979Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6167982Z 2025-09-07T08:03:17.6168089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6168272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6168342Z return mod(*inputs) 2025-09-07T08:03:17.6168537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6168603Z x = self.forward_features(x) 2025-09-07T08:03:17.6168824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6168884Z x = self.blocks(x) 2025-09-07T08:03:17.6169097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6169156Z x = self.se(x) 2025-09-07T08:03:17.6169389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6169464Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6169482Z 2025-09-07T08:03:17.6169578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6169771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6169835Z return mod(*inputs) 2025-09-07T08:03:17.6170034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6170109Z x = self.forward_features(x) 2025-09-07T08:03:17.6170326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6170397Z x = self.blocks(x) 2025-09-07T08:03:17.6170604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6170671Z x = self.se(x) 2025-09-07T08:03:17.6170881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6170950Z return x * self.gate(x_se) 2025-09-07T08:03:17.6170952Z 2025-09-07T08:03:17.6171080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6171267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6171336Z return mod(*inputs) 2025-09-07T08:03:17.6171532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6171599Z x = self.forward_features(x) 2025-09-07T08:03:17.6171822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6171884Z x = self.blocks(x) 2025-09-07T08:03:17.6172101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6172163Z x = self.se(x) 2025-09-07T08:03:17.6172367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6172444Z return x * self.gate(x_se) 2025-09-07T08:03:17.6172448Z 2025-09-07T08:03:17.6172542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6172734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6172795Z return mod(*inputs) 2025-09-07T08:03:17.6172988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6173063Z x = self.forward_features(x) 2025-09-07T08:03:17.6173279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6173346Z x = self.blocks(x) 2025-09-07T08:03:17.6173555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6173624Z x = self.se(x) 2025-09-07T08:03:17.6173829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6173895Z return x * self.gate(x_se) 2025-09-07T08:03:17.6173898Z 2025-09-07T08:03:17.6173984Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6174079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6174270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6174331Z return mod(*inputs) 2025-09-07T08:03:17.6174527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6174601Z x = self.forward_features(x) 2025-09-07T08:03:17.6174816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6174911Z x = self.blocks(x) 2025-09-07T08:03:17.6175134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6175195Z x = self.bn1(x) 2025-09-07T08:03:17.6175390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6175451Z x = self.act(x) 2025-09-07T08:03:17.6175454Z 2025-09-07T08:03:17.6175556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6175737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6175798Z return mod(*inputs) 2025-09-07T08:03:17.6176004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6176070Z x = self.forward_features(x) 2025-09-07T08:03:17.6176297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6176357Z x = self.blocks(x) 2025-09-07T08:03:17.6176579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6176654Z x = self.bn1(x) 2025-09-07T08:03:17.6176838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6176906Z x = self.act(x) 2025-09-07T08:03:17.6176909Z 2025-09-07T08:03:17.6177004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6177193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6177253Z return mod(*inputs) 2025-09-07T08:03:17.6177449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6177525Z x = self.forward_features(x) 2025-09-07T08:03:17.6177748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6177816Z x = self.blocks(x) 2025-09-07T08:03:17.6178027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6178085Z x = self.bn2(x) 2025-09-07T08:03:17.6178277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6178336Z x = self.act(x) 2025-09-07T08:03:17.6178339Z 2025-09-07T08:03:17.6178444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6178626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6178688Z return mod(*inputs) 2025-09-07T08:03:17.6178888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6178952Z x = self.forward_features(x) 2025-09-07T08:03:17.6179183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6179245Z x = self.blocks(x) 2025-09-07T08:03:17.6179466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6179524Z x = self.bn2(x) 2025-09-07T08:03:17.6179709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6179776Z x = self.act(x) 2025-09-07T08:03:17.6179779Z 2025-09-07T08:03:17.6179854Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6179956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6180137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6180201Z return mod(*inputs) 2025-09-07T08:03:17.6180431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6180513Z x = self.forward_features(x) 2025-09-07T08:03:17.6180739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6180800Z x = self.blocks(x) 2025-09-07T08:03:17.6181010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6181075Z x = self.se(x) 2025-09-07T08:03:17.6181285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6181365Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6181367Z 2025-09-07T08:03:17.6181463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6181647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6181716Z return mod(*inputs) 2025-09-07T08:03:17.6181915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6181990Z x = self.forward_features(x) 2025-09-07T08:03:17.6182225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6182295Z x = self.blocks(x) 2025-09-07T08:03:17.6182507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6182567Z x = self.se(x) 2025-09-07T08:03:17.6182782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6182846Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6182849Z 2025-09-07T08:03:17.6182951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6183132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6183199Z return mod(*inputs) 2025-09-07T08:03:17.6183402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6183470Z x = self.forward_features(x) 2025-09-07T08:03:17.6183695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6183754Z x = self.blocks(x) 2025-09-07T08:03:17.6183962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6184028Z x = self.se(x) 2025-09-07T08:03:17.6184236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6184305Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6184308Z 2025-09-07T08:03:17.6184402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6184594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6184660Z return mod(*inputs) 2025-09-07T08:03:17.6184861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6184937Z x = self.forward_features(x) 2025-09-07T08:03:17.6185154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6185219Z x = self.blocks(x) 2025-09-07T08:03:17.6185433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6185492Z x = self.se(x) 2025-09-07T08:03:17.6185707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6185773Z return x * self.gate(x_se) 2025-09-07T08:03:17.6185775Z 2025-09-07T08:03:17.6185881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6186206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6186285Z return mod(*inputs) 2025-09-07T08:03:17.6186494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6186562Z x = self.forward_features(x) 2025-09-07T08:03:17.6186784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6186843Z x = self.blocks(x) 2025-09-07T08:03:17.6187054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6187121Z x = self.se(x) 2025-09-07T08:03:17.6187333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6187409Z return x * self.gate(x_se) 2025-09-07T08:03:17.6187412Z 2025-09-07T08:03:17.6187513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6187711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6187790Z return mod(*inputs) 2025-09-07T08:03:17.6187990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6188066Z x = self.forward_features(x) 2025-09-07T08:03:17.6188285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6188353Z x = self.blocks(x) 2025-09-07T08:03:17.6188562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6188624Z x = self.se(x) 2025-09-07T08:03:17.6188841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6188909Z return x * self.gate(x_se) 2025-09-07T08:03:17.6188912Z 2025-09-07T08:03:17.6188999Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6189095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6189278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6189350Z return mod(*inputs) 2025-09-07T08:03:17.6189551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6189625Z x = self.forward_features(x) 2025-09-07T08:03:17.6189842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6189902Z x = self.blocks(x) 2025-09-07T08:03:17.6190118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6190175Z x = self.bn1(x) 2025-09-07T08:03:17.6190372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6190434Z x = self.act(x) 2025-09-07T08:03:17.6190437Z 2025-09-07T08:03:17.6190546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6190730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6190795Z return mod(*inputs) 2025-09-07T08:03:17.6191002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6191068Z x = self.forward_features(x) 2025-09-07T08:03:17.6191295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6191355Z x = self.blocks(x) 2025-09-07T08:03:17.6191564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6191633Z x = self.bn1(x) 2025-09-07T08:03:17.6191843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6191921Z x = self.act(x) 2025-09-07T08:03:17.6191926Z 2025-09-07T08:03:17.6192023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6192210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6192280Z return mod(*inputs) 2025-09-07T08:03:17.6192476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6192548Z x = self.forward_features(x) 2025-09-07T08:03:17.6192763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6192821Z x = self.blocks(x) 2025-09-07T08:03:17.6193034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6193095Z x = self.bn2(x) 2025-09-07T08:03:17.6193287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6193362Z x = self.act(x) 2025-09-07T08:03:17.6193365Z 2025-09-07T08:03:17.6193469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6193658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6193720Z return mod(*inputs) 2025-09-07T08:03:17.6193924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6193990Z x = self.forward_features(x) 2025-09-07T08:03:17.6194212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6194271Z x = self.blocks(x) 2025-09-07T08:03:17.6194480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6194548Z x = self.bn2(x) 2025-09-07T08:03:17.6194732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6194799Z x = self.act(x) 2025-09-07T08:03:17.6194802Z 2025-09-07T08:03:17.6194879Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6194976Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6195168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6195229Z return mod(*inputs) 2025-09-07T08:03:17.6195428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6195494Z x = self.forward_features(x) 2025-09-07T08:03:17.6195709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6195779Z x = self.blocks(x) 2025-09-07T08:03:17.6195988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6196055Z x = self.se(x) 2025-09-07T08:03:17.6196261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6196340Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6196343Z 2025-09-07T08:03:17.6196439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6196623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6196691Z return mod(*inputs) 2025-09-07T08:03:17.6196887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6196961Z x = self.forward_features(x) 2025-09-07T08:03:17.6197207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6197282Z x = self.blocks(x) 2025-09-07T08:03:17.6197499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6197559Z x = self.se(x) 2025-09-07T08:03:17.6197777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6197842Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6197845Z 2025-09-07T08:03:17.6197945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6198136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6198199Z return mod(*inputs) 2025-09-07T08:03:17.6198408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6198473Z x = self.forward_features(x) 2025-09-07T08:03:17.6198693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6198763Z x = self.blocks(x) 2025-09-07T08:03:17.6198989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6199053Z x = self.se(x) 2025-09-07T08:03:17.6199257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6199320Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6199322Z 2025-09-07T08:03:17.6199429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6199609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6199678Z return mod(*inputs) 2025-09-07T08:03:17.6199870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6199938Z x = self.forward_features(x) 2025-09-07T08:03:17.6200161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6200223Z x = self.blocks(x) 2025-09-07T08:03:17.6200437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6200494Z x = self.se(x) 2025-09-07T08:03:17.6200702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6200765Z return x * self.gate(x_se) 2025-09-07T08:03:17.6200768Z 2025-09-07T08:03:17.6200864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6201050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6201111Z return mod(*inputs) 2025-09-07T08:03:17.6201314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6201382Z x = self.forward_features(x) 2025-09-07T08:03:17.6201597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6201666Z x = self.blocks(x) 2025-09-07T08:03:17.6201875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6201940Z x = self.se(x) 2025-09-07T08:03:17.6202145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6202211Z return x * self.gate(x_se) 2025-09-07T08:03:17.6202214Z 2025-09-07T08:03:17.6202317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6202498Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6202567Z return mod(*inputs) 2025-09-07T08:03:17.6202790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6202880Z x = self.forward_features(x) 2025-09-07T08:03:17.6203100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6203159Z x = self.blocks(x) 2025-09-07T08:03:17.6203375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6203435Z x = self.se(x) 2025-09-07T08:03:17.6203647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6203710Z return x * self.gate(x_se) 2025-09-07T08:03:17.6203713Z 2025-09-07T08:03:17.6203790Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6203893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6204075Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6204142Z return mod(*inputs) 2025-09-07T08:03:17.6204334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6204414Z x = self.forward_features(x) 2025-09-07T08:03:17.6204641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6204699Z x = self.blocks(x) 2025-09-07T08:03:17.6204916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6204976Z x = self.bn1(x) 2025-09-07T08:03:17.6205162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6205229Z x = self.act(x) 2025-09-07T08:03:17.6205231Z 2025-09-07T08:03:17.6205329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6205518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6205581Z return mod(*inputs) 2025-09-07T08:03:17.6205777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6205849Z x = self.forward_features(x) 2025-09-07T08:03:17.6206065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6206132Z x = self.blocks(x) 2025-09-07T08:03:17.6206341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T08:03:17.6206407Z x = self.bn1(x) 2025-09-07T08:03:17.6206592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6206649Z x = self.act(x) 2025-09-07T08:03:17.6206652Z 2025-09-07T08:03:17.6206758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6206939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6207007Z return mod(*inputs) 2025-09-07T08:03:17.6207204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6207270Z x = self.forward_features(x) 2025-09-07T08:03:17.6207498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6207559Z x = self.blocks(x) 2025-09-07T08:03:17.6207775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6207835Z x = self.bn2(x) 2025-09-07T08:03:17.6208018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6208084Z x = self.act(x) 2025-09-07T08:03:17.6208087Z 2025-09-07T08:03:17.6208222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6208425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6208488Z return mod(*inputs) 2025-09-07T08:03:17.6208683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6208756Z x = self.forward_features(x) 2025-09-07T08:03:17.6208970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6209036Z x = self.blocks(x) 2025-09-07T08:03:17.6209244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T08:03:17.6209308Z x = self.bn2(x) 2025-09-07T08:03:17.6209490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6209553Z x = self.act(x) 2025-09-07T08:03:17.6209556Z 2025-09-07T08:03:17.6209640Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6209734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6209947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6210010Z return mod(*inputs) 2025-09-07T08:03:17.6210205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6210277Z x = self.forward_features(x) 2025-09-07T08:03:17.6210493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6210558Z x = self.blocks(x) 2025-09-07T08:03:17.6210769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6210824Z x = self.se(x) 2025-09-07T08:03:17.6211041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T08:03:17.6211113Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T08:03:17.6211118Z 2025-09-07T08:03:17.6211222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6211405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6211467Z return mod(*inputs) 2025-09-07T08:03:17.6211671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6211735Z x = self.forward_features(x) 2025-09-07T08:03:17.6211956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6212015Z x = self.blocks(x) 2025-09-07T08:03:17.6212232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6212291Z x = self.se(x) 2025-09-07T08:03:17.6212497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6212572Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6212575Z 2025-09-07T08:03:17.6212671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6212862Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6212926Z return mod(*inputs) 2025-09-07T08:03:17.6213122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6213195Z x = self.forward_features(x) 2025-09-07T08:03:17.6213409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6213477Z x = self.blocks(x) 2025-09-07T08:03:17.6213712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6213787Z x = self.se(x) 2025-09-07T08:03:17.6214004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T08:03:17.6214068Z x_se = self.act1(x_se) 2025-09-07T08:03:17.6214071Z 2025-09-07T08:03:17.6214172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6214354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6214422Z return mod(*inputs) 2025-09-07T08:03:17.6214619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6214684Z x = self.forward_features(x) 2025-09-07T08:03:17.6214908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6214967Z x = self.blocks(x) 2025-09-07T08:03:17.6215183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6215242Z x = self.se(x) 2025-09-07T08:03:17.6215449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6215539Z return x * self.gate(x_se) 2025-09-07T08:03:17.6215542Z 2025-09-07T08:03:17.6215638Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6215826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6215885Z return mod(*inputs) 2025-09-07T08:03:17.6216082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6216155Z x = self.forward_features(x) 2025-09-07T08:03:17.6216372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6216441Z x = self.blocks(x) 2025-09-07T08:03:17.6216651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6216710Z x = self.se(x) 2025-09-07T08:03:17.6216925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6216990Z return x * self.gate(x_se) 2025-09-07T08:03:17.6216992Z 2025-09-07T08:03:17.6217096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6217278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6217347Z return mod(*inputs) 2025-09-07T08:03:17.6217544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6217611Z x = self.forward_features(x) 2025-09-07T08:03:17.6217832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6217894Z x = self.blocks(x) 2025-09-07T08:03:17.6218107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T08:03:17.6218166Z x = self.se(x) 2025-09-07T08:03:17.6218375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T08:03:17.6218447Z return x * self.gate(x_se) 2025-09-07T08:03:17.6218450Z 2025-09-07T08:03:17.6218546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6218736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6218796Z return mod(*inputs) 2025-09-07T08:03:17.6218993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6219070Z x = self.forward_features(x) 2025-09-07T08:03:17.6219313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6219395Z x = self.blocks(x) 2025-09-07T08:03:17.6219608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:03:17.6219675Z x = self.conv_pwl(x) 2025-09-07T08:03:17.6219686Z 2025-09-07T08:03:17.6219782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6219964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6220033Z return mod(*inputs) 2025-09-07T08:03:17.6220230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6220305Z x = self.forward_features(x) 2025-09-07T08:03:17.6220520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T08:03:17.6220584Z x = self.blocks(x) 2025-09-07T08:03:17.6220805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T08:03:17.6220886Z x = self.conv_pwl(x) 2025-09-07T08:03:17.6220889Z 2025-09-07T08:03:17.6220992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6221173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6221235Z return mod(*inputs) 2025-09-07T08:03:17.6221436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6221501Z x = self.forward_features(x) 2025-09-07T08:03:17.6221722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:03:17.6221782Z x = self.bn2(x) 2025-09-07T08:03:17.6221966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6222034Z x = self.act(x) 2025-09-07T08:03:17.6222038Z 2025-09-07T08:03:17.6222134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6222323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6222387Z return mod(*inputs) 2025-09-07T08:03:17.6222587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T08:03:17.6222651Z x = self.forward_features(x) 2025-09-07T08:03:17.6222865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T08:03:17.6222929Z x = self.bn2(x) 2025-09-07T08:03:17.6223112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T08:03:17.6223174Z x = self.act(x) 2025-09-07T08:03:17.6223177Z 2025-09-07T08:03:17.6223255Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6223350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:17.6223534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:03:17.6223599Z return mod(*inputs) 2025-09-07T08:03:17.6223795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T08:03:17.6223861Z x = self.forward_head(x) 2025-09-07T08:03:17.6224065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T08:03:17.6224139Z x = self.global_pool(x) 2025-09-07T08:03:17.6224351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T08:03:17.6224418Z x = self.pool(x) 2025-09-07T08:03:17.6224421Z 2025-09-07T08:03:17.6224498Z cudagraph partition due to non gpu ops 2025-09-07T08:03:17.6224597Z cudagraph partition due to non gpu ops 2025-09-07T08:03:35.4847743Z pass 2025-09-07T08:03:35.4848176Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:37.6067053Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:03:37.6067974Z import pynvml # type: ignore[import] 2025-09-07T08:03:39.7705209Z 2025-09-07T08:03:40.7157720Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:40.7158179Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:40.7158564Z cpu eval tnt_s_patch16_224 2025-09-07T08:03:40.9227913Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:41.8181965Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:42.7207108Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:06.6208866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6209992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6210363Z return mod(*inputs) 2025-09-07T08:04:06.6210745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6211080Z x = self.forward_features(x) 2025-09-07T08:04:06.6211522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 311, in forward_features 2025-09-07T08:04:06.6211968Z pixel_embed = self.pixel_embed(x, self.pixel_pos) 2025-09-07T08:04:06.6212351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 182, in forward 2025-09-07T08:04:06.6212714Z x = self.proj(x) 2025-09-07T08:04:06.6212824Z 2025-09-07T08:04:06.6213294Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6213593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6213985Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6214312Z return mod(*inputs) 2025-09-07T08:04:06.6214629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6214952Z x = self.forward_features(x) 2025-09-07T08:04:06.6215278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 311, in forward_features 2025-09-07T08:04:06.6215649Z pixel_embed = self.pixel_embed(x, self.pixel_pos) 2025-09-07T08:04:06.6215979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 182, in forward 2025-09-07T08:04:06.6216282Z x = self.proj(x) 2025-09-07T08:04:06.6216386Z 2025-09-07T08:04:06.6216500Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6216852Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6217170Z return mod(*inputs) 2025-09-07T08:04:06.6217456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6217764Z x = self.forward_features(x) 2025-09-07T08:04:06.6218081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 311, in forward_features 2025-09-07T08:04:06.6218512Z pixel_embed = self.pixel_embed(x, self.pixel_pos) 2025-09-07T08:04:06.6218830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 182, in forward 2025-09-07T08:04:06.6219128Z x = self.proj(x) 2025-09-07T08:04:06.6219232Z 2025-09-07T08:04:06.6219314Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6219524Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6220011Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6220324Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6220555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6220896Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6221205Z return mod(*inputs) 2025-09-07T08:04:06.6221477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6221774Z x = self.forward_features(x) 2025-09-07T08:04:06.6222089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6222453Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6222778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6223157Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6223538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6223864Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6224061Z 2025-09-07T08:04:06.6224165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6224500Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6224807Z return mod(*inputs) 2025-09-07T08:04:06.6225084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6225381Z x = self.forward_features(x) 2025-09-07T08:04:06.6225692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6226045Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6226381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6226759Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6227138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6227447Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6227591Z 2025-09-07T08:04:06.6227687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6228023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6228331Z return mod(*inputs) 2025-09-07T08:04:06.6228609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6228899Z x = self.forward_features(x) 2025-09-07T08:04:06.6229226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6229587Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6229926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6230299Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6230665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6231018Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6231160Z 2025-09-07T08:04:06.6231239Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6231454Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6231683Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6232036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6232360Z return mod(*inputs) 2025-09-07T08:04:06.6232706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6233034Z x = self.forward_features(x) 2025-09-07T08:04:06.6233350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6233717Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6234058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6234444Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6234818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6235155Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6235310Z 2025-09-07T08:04:06.6235412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6235765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6236087Z return mod(*inputs) 2025-09-07T08:04:06.6236364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6236703Z x = self.forward_features(x) 2025-09-07T08:04:06.6237036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6237409Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6237747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6238137Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6238529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6238857Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6239000Z 2025-09-07T08:04:06.6239113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6239454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6239781Z return mod(*inputs) 2025-09-07T08:04:06.6240066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6240375Z x = self.forward_features(x) 2025-09-07T08:04:06.6240700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6241061Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6241400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6241793Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6242184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6242506Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6242655Z 2025-09-07T08:04:06.6242734Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6242954Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6243163Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6243366Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6243569Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6243771Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6244005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6244354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6244664Z return mod(*inputs) 2025-09-07T08:04:06.6244951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6245256Z x = self.forward_features(x) 2025-09-07T08:04:06.6245609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 313, in forward_features 2025-09-07T08:04:06.6246080Z patch_embed = self.norm2_proj(self.proj(self.norm1_proj(pixel_embed.reshape(B, self.num_patches, -1)))) 2025-09-07T08:04:06.6246344Z 2025-09-07T08:04:06.6246446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6246805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6247121Z return mod(*inputs) 2025-09-07T08:04:06.6247410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6247712Z x = self.forward_features(x) 2025-09-07T08:04:06.6248034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 314, in forward_features 2025-09-07T08:04:06.6248450Z patch_embed = torch.cat((self.cls_token.expand(B, -1, -1), patch_embed), dim=1) 2025-09-07T08:04:06.6248655Z 2025-09-07T08:04:06.6248767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6249116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6249441Z return mod(*inputs) 2025-09-07T08:04:06.6249723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6250026Z x = self.forward_features(x) 2025-09-07T08:04:06.6250348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6250703Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6251048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6251457Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6251685Z 2025-09-07T08:04:06.6251772Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6251981Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6252182Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6252411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6252759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6253070Z return mod(*inputs) 2025-09-07T08:04:06.6253340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6253649Z x = self.forward_features(x) 2025-09-07T08:04:06.6253971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6254340Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6254680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6255083Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6255315Z 2025-09-07T08:04:06.6255414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6255762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6256079Z return mod(*inputs) 2025-09-07T08:04:06.6256364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6256676Z x = self.forward_features(x) 2025-09-07T08:04:06.6256993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6257367Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6257704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6258006Z patch_embed = torch.cat( 2025-09-07T08:04:06.6258129Z 2025-09-07T08:04:06.6258240Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6258457Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6258724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6259076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6259381Z return mod(*inputs) 2025-09-07T08:04:06.6259668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6259975Z x = self.forward_features(x) 2025-09-07T08:04:06.6260306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6260662Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6260998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6261385Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6261782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6262106Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6262263Z 2025-09-07T08:04:06.6262363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6262713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6263028Z return mod(*inputs) 2025-09-07T08:04:06.6263310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6263611Z x = self.forward_features(x) 2025-09-07T08:04:06.6263932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6264302Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6264647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6265032Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6265419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6265739Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6265887Z 2025-09-07T08:04:06.6265990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6266339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6266661Z return mod(*inputs) 2025-09-07T08:04:06.6266935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6267238Z x = self.forward_features(x) 2025-09-07T08:04:06.6267569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6267939Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6268272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6268662Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6269057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6269382Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6269519Z 2025-09-07T08:04:06.6269608Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6269817Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6270056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6270406Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6270722Z return mod(*inputs) 2025-09-07T08:04:06.6271041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6271370Z x = self.forward_features(x) 2025-09-07T08:04:06.6271690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6272060Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6272400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6272782Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6273176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6273506Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6273653Z 2025-09-07T08:04:06.6273766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6274116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6274428Z return mod(*inputs) 2025-09-07T08:04:06.6274720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6275045Z x = self.forward_features(x) 2025-09-07T08:04:06.6275368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6275735Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6276079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6276474Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6276870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6277195Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6277338Z 2025-09-07T08:04:06.6277442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6277798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6278118Z return mod(*inputs) 2025-09-07T08:04:06.6278402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6278705Z x = self.forward_features(x) 2025-09-07T08:04:06.6279030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6279397Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6279742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6280133Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6280514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6280850Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6281001Z 2025-09-07T08:04:06.6281081Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6281293Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6281529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6281867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6282187Z return mod(*inputs) 2025-09-07T08:04:06.6282472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6282788Z x = self.forward_features(x) 2025-09-07T08:04:06.6283104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6283472Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6283813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6284235Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6284649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 66, in forward 2025-09-07T08:04:06.6285024Z qk = self.qk(x).reshape(B, N, 2, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4) 2025-09-07T08:04:06.6285235Z 2025-09-07T08:04:06.6285315Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6285525Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6285757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6286100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6286417Z return mod(*inputs) 2025-09-07T08:04:06.6286700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6287008Z x = self.forward_features(x) 2025-09-07T08:04:06.6287339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6287700Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6288081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6288468Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6288870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6289187Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6289334Z 2025-09-07T08:04:06.6289435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6289787Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6290113Z return mod(*inputs) 2025-09-07T08:04:06.6290400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6290701Z x = self.forward_features(x) 2025-09-07T08:04:06.6291035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6291408Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6291748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6292130Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6292508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6292826Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6292971Z 2025-09-07T08:04:06.6293072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6293422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6293727Z return mod(*inputs) 2025-09-07T08:04:06.6294381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6294689Z x = self.forward_features(x) 2025-09-07T08:04:06.6295013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6295378Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6295712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6296097Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6296481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6296803Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6296942Z 2025-09-07T08:04:06.6297062Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6297270Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6297524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6297873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6298186Z return mod(*inputs) 2025-09-07T08:04:06.6298463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6298773Z x = self.forward_features(x) 2025-09-07T08:04:06.6299101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6299471Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6299813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6300190Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6300574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6300897Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6301060Z 2025-09-07T08:04:06.6301173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6301521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6301842Z return mod(*inputs) 2025-09-07T08:04:06.6302133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6302448Z x = self.forward_features(x) 2025-09-07T08:04:06.6302776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6303144Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6303500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6303890Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6304285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6304618Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6304762Z 2025-09-07T08:04:06.6304868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6305219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6305543Z return mod(*inputs) 2025-09-07T08:04:06.6305831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6306135Z x = self.forward_features(x) 2025-09-07T08:04:06.6306464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6306840Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6307187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6307576Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6307964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6308291Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6308439Z 2025-09-07T08:04:06.6308522Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6308743Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6308974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6309328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6309650Z return mod(*inputs) 2025-09-07T08:04:06.6309990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6311129Z x = self.forward_features(x) 2025-09-07T08:04:06.6311447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6311819Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6312160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6312550Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6312755Z 2025-09-07T08:04:06.6312833Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6313045Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6313250Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6313455Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6313652Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6313856Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6314064Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6314272Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6314502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6314865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6315180Z return mod(*inputs) 2025-09-07T08:04:06.6315465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6315771Z x = self.forward_features(x) 2025-09-07T08:04:06.6316086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6316457Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6316798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6317216Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6317447Z 2025-09-07T08:04:06.6317534Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6317734Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6317938Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6318170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6318520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6318828Z return mod(*inputs) 2025-09-07T08:04:06.6319117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6319424Z x = self.forward_features(x) 2025-09-07T08:04:06.6319744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6320109Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6320446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6320857Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6321093Z 2025-09-07T08:04:06.6321194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6321540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6321845Z return mod(*inputs) 2025-09-07T08:04:06.6322128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6322437Z x = self.forward_features(x) 2025-09-07T08:04:06.6322760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6323123Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6323490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6323819Z patch_embed = torch.cat( 2025-09-07T08:04:06.6323938Z 2025-09-07T08:04:06.6324015Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6324230Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6324454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6324804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6325120Z return mod(*inputs) 2025-09-07T08:04:06.6325402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6325713Z x = self.forward_features(x) 2025-09-07T08:04:06.6326027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6326397Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6326742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6327136Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6327540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6327869Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6328021Z 2025-09-07T08:04:06.6328124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6328495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6328811Z return mod(*inputs) 2025-09-07T08:04:06.6329082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6329387Z x = self.forward_features(x) 2025-09-07T08:04:06.6329710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6330090Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6330420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6330868Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6331257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6331577Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6331715Z 2025-09-07T08:04:06.6331826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6332163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6332478Z return mod(*inputs) 2025-09-07T08:04:06.6332765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6333069Z x = self.forward_features(x) 2025-09-07T08:04:06.6333394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6333757Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6334094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6334478Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6334860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6335169Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6335312Z 2025-09-07T08:04:06.6335393Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6335603Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6335825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6336166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6336536Z return mod(*inputs) 2025-09-07T08:04:06.6336840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6337149Z x = self.forward_features(x) 2025-09-07T08:04:06.6337470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6337830Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6338179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6338555Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6338933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6339247Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6339386Z 2025-09-07T08:04:06.6339487Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6339834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6340161Z return mod(*inputs) 2025-09-07T08:04:06.6340432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6340728Z x = self.forward_features(x) 2025-09-07T08:04:06.6341030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6341384Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6341715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6342087Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6342453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6342776Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6342924Z 2025-09-07T08:04:06.6343023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6343365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6343671Z return mod(*inputs) 2025-09-07T08:04:06.6343936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6344230Z x = self.forward_features(x) 2025-09-07T08:04:06.6344540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6344899Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6345221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6345608Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6346006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6346325Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6346464Z 2025-09-07T08:04:06.6346549Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6346749Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6346954Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6347151Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6347375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6347708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6348015Z return mod(*inputs) 2025-09-07T08:04:06.6348293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6348617Z x = self.forward_features(x) 2025-09-07T08:04:06.6348964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6349330Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6349663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6350033Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6350408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6350712Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6350854Z 2025-09-07T08:04:06.6350951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6351289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6351596Z return mod(*inputs) 2025-09-07T08:04:06.6351874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6352163Z x = self.forward_features(x) 2025-09-07T08:04:06.6352480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6352853Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6353181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6353542Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6353913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6354230Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6354364Z 2025-09-07T08:04:06.6354472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6354813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6355112Z return mod(*inputs) 2025-09-07T08:04:06.6355390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6355691Z x = self.forward_features(x) 2025-09-07T08:04:06.6356006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6356364Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6356688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6357062Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6357440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6357753Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6357886Z 2025-09-07T08:04:06.6357964Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6358178Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6358405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6358741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6359052Z return mod(*inputs) 2025-09-07T08:04:06.6359319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6359616Z x = self.forward_features(x) 2025-09-07T08:04:06.6359928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6360292Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6360619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6360992Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6361418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6361754Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6361893Z 2025-09-07T08:04:06.6362002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6362336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6362644Z return mod(*inputs) 2025-09-07T08:04:06.6362924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6363221Z x = self.forward_features(x) 2025-09-07T08:04:06.6363527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6363893Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6364224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6364601Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6364975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6365299Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6365444Z 2025-09-07T08:04:06.6365541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6365878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6366181Z return mod(*inputs) 2025-09-07T08:04:06.6366453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6366743Z x = self.forward_features(x) 2025-09-07T08:04:06.6367053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6367407Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6367739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6368104Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6368481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6368793Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6368929Z 2025-09-07T08:04:06.6369017Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6369228Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6369422Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6369623Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6369821Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6370018Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6370211Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6370417Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6370615Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6370820Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6371042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6371383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6371690Z return mod(*inputs) 2025-09-07T08:04:06.6371967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6372258Z x = self.forward_features(x) 2025-09-07T08:04:06.6372572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6372924Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6373253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6373684Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6373926Z 2025-09-07T08:04:06.6374002Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6374213Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6374424Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6374655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6374997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6375310Z return mod(*inputs) 2025-09-07T08:04:06.6375597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6375905Z x = self.forward_features(x) 2025-09-07T08:04:06.6376237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6376605Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6376958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6377374Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6377615Z 2025-09-07T08:04:06.6377725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6378078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6378382Z return mod(*inputs) 2025-09-07T08:04:06.6378666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6378976Z x = self.forward_features(x) 2025-09-07T08:04:06.6379303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6379660Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6380004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6380314Z patch_embed = torch.cat( 2025-09-07T08:04:06.6380425Z 2025-09-07T08:04:06.6380514Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6380724Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6380947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6381297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6381613Z return mod(*inputs) 2025-09-07T08:04:06.6381897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6382196Z x = self.forward_features(x) 2025-09-07T08:04:06.6382522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6382886Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6383233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6383623Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6384011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6384338Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6384484Z 2025-09-07T08:04:06.6384584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6384939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6385258Z return mod(*inputs) 2025-09-07T08:04:06.6385545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6385852Z x = self.forward_features(x) 2025-09-07T08:04:06.6386178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6386580Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6386925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6387311Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6387700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6388026Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6388163Z 2025-09-07T08:04:06.6388272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6388609Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6388923Z return mod(*inputs) 2025-09-07T08:04:06.6389207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6389513Z x = self.forward_features(x) 2025-09-07T08:04:06.6389829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6390198Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6390554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6390942Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6391335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6391648Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6391790Z 2025-09-07T08:04:06.6391869Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6392081Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6392314Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6392654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6392964Z return mod(*inputs) 2025-09-07T08:04:06.6393246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6393553Z x = self.forward_features(x) 2025-09-07T08:04:06.6393873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6394228Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6394565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6394948Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6395336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6395652Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6395805Z 2025-09-07T08:04:06.6395908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6396256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6396572Z return mod(*inputs) 2025-09-07T08:04:06.6396853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6397148Z x = self.forward_features(x) 2025-09-07T08:04:06.6397471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6397839Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6398179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6398564Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6398975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6399319Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6399459Z 2025-09-07T08:04:06.6399571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6399924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6400229Z return mod(*inputs) 2025-09-07T08:04:06.6400514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6400823Z x = self.forward_features(x) 2025-09-07T08:04:06.6401147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6401517Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6401846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6402237Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6402630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6402994Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6403131Z 2025-09-07T08:04:06.6403210Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6403420Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6403627Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6403833Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6404061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6404396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6404709Z return mod(*inputs) 2025-09-07T08:04:06.6404990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6405292Z x = self.forward_features(x) 2025-09-07T08:04:06.6405606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6405979Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6406322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6406704Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6407089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6407397Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6407543Z 2025-09-07T08:04:06.6407645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6407992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6408303Z return mod(*inputs) 2025-09-07T08:04:06.6408580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6408886Z x = self.forward_features(x) 2025-09-07T08:04:06.6409206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6409571Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6409901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6410276Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6410664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6410982Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6411116Z 2025-09-07T08:04:06.6411226Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6411613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6411938Z return mod(*inputs) 2025-09-07T08:04:06.6412223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6412529Z x = self.forward_features(x) 2025-09-07T08:04:06.6412852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6413210Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6413546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6413928Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6414309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6414629Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6414768Z 2025-09-07T08:04:06.6414851Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6415065Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6415296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6415663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6415968Z return mod(*inputs) 2025-09-07T08:04:06.6416251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6416556Z x = self.forward_features(x) 2025-09-07T08:04:06.6416879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6417248Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6417577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6417965Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6418349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6418675Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6418815Z 2025-09-07T08:04:06.6418918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6419262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6419576Z return mod(*inputs) 2025-09-07T08:04:06.6419860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6420169Z x = self.forward_features(x) 2025-09-07T08:04:06.6420481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6420850Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6421193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6421579Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6421960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6422281Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6422431Z 2025-09-07T08:04:06.6422534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6422886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6423201Z return mod(*inputs) 2025-09-07T08:04:06.6423475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6423780Z x = self.forward_features(x) 2025-09-07T08:04:06.6424100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6424499Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6424854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6425232Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6425619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6425943Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6426085Z 2025-09-07T08:04:06.6426170Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6426374Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6426608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6426953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6427270Z return mod(*inputs) 2025-09-07T08:04:06.6427554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6427858Z x = self.forward_features(x) 2025-09-07T08:04:06.6428186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6428574Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6428927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6429322Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6429540Z 2025-09-07T08:04:06.6429623Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6429841Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6430055Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6430268Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6430467Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6430676Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6430928Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6431129Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6431349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6431708Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6432024Z return mod(*inputs) 2025-09-07T08:04:06.6432307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6432609Z x = self.forward_features(x) 2025-09-07T08:04:06.6432939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6433307Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6433650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6434069Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6434298Z 2025-09-07T08:04:06.6434377Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6434585Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6434787Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6435015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6435351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6435660Z return mod(*inputs) 2025-09-07T08:04:06.6435939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6436241Z x = self.forward_features(x) 2025-09-07T08:04:06.6436553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6436915Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6437314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6437729Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6437950Z 2025-09-07T08:04:06.6438057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6438396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6438711Z return mod(*inputs) 2025-09-07T08:04:06.6438994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6439299Z x = self.forward_features(x) 2025-09-07T08:04:06.6439623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6439982Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6440324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6440631Z patch_embed = torch.cat( 2025-09-07T08:04:06.6440746Z 2025-09-07T08:04:06.6440833Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6441062Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6441296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6441641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6441955Z return mod(*inputs) 2025-09-07T08:04:06.6442238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6442538Z x = self.forward_features(x) 2025-09-07T08:04:06.6442858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6443225Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6443568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6443949Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6444339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6444663Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6444799Z 2025-09-07T08:04:06.6444908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6445255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6445559Z return mod(*inputs) 2025-09-07T08:04:06.6445843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6446147Z x = self.forward_features(x) 2025-09-07T08:04:06.6446470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6446832Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6447173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6447562Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6447952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6448271Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6448407Z 2025-09-07T08:04:06.6448510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6448857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6449172Z return mod(*inputs) 2025-09-07T08:04:06.6449454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6449756Z x = self.forward_features(x) 2025-09-07T08:04:06.6450100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6450486Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6450823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6451203Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6451575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6451888Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6452030Z 2025-09-07T08:04:06.6452109Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6452315Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6452542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6452879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6453189Z return mod(*inputs) 2025-09-07T08:04:06.6453467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6453788Z x = self.forward_features(x) 2025-09-07T08:04:06.6454094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6454452Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6454781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6455167Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6455542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6455849Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6455994Z 2025-09-07T08:04:06.6456095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6456436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6456743Z return mod(*inputs) 2025-09-07T08:04:06.6457018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6457312Z x = self.forward_features(x) 2025-09-07T08:04:06.6457624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6457982Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6458314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6458682Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6459061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6459377Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6459516Z 2025-09-07T08:04:06.6459622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6459961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6460262Z return mod(*inputs) 2025-09-07T08:04:06.6460538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6460836Z x = self.forward_features(x) 2025-09-07T08:04:06.6461143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6461492Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6461823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6462230Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6462626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6462947Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6463086Z 2025-09-07T08:04:06.6463161Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6463370Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6463574Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6463775Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6463993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6464334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6464642Z return mod(*inputs) 2025-09-07T08:04:06.6464915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6465216Z x = self.forward_features(x) 2025-09-07T08:04:06.6465527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6465887Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6466233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6466606Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6466973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6467288Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6467430Z 2025-09-07T08:04:06.6467529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6467867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6468176Z return mod(*inputs) 2025-09-07T08:04:06.6468448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6468753Z x = self.forward_features(x) 2025-09-07T08:04:06.6469069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6469432Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6469755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6470133Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6470510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6470829Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6470964Z 2025-09-07T08:04:06.6471071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6471404Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6471714Z return mod(*inputs) 2025-09-07T08:04:06.6471989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6472289Z x = self.forward_features(x) 2025-09-07T08:04:06.6472604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6472957Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6473291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6473665Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6474044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6474348Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6474493Z 2025-09-07T08:04:06.6474625Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6474836Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6475079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6475421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6475722Z return mod(*inputs) 2025-09-07T08:04:06.6475998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6476300Z x = self.forward_features(x) 2025-09-07T08:04:06.6476616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6476965Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6477294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6477667Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6478047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6478361Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6478514Z 2025-09-07T08:04:06.6478612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6478953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6479262Z return mod(*inputs) 2025-09-07T08:04:06.6479537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6479833Z x = self.forward_features(x) 2025-09-07T08:04:06.6480155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6480517Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6480854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6481234Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6481610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6481929Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6482076Z 2025-09-07T08:04:06.6482175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6482515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6482826Z return mod(*inputs) 2025-09-07T08:04:06.6483099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6483402Z x = self.forward_features(x) 2025-09-07T08:04:06.6483724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6484095Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6484422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6484803Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6485182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6485504Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6485642Z 2025-09-07T08:04:06.6485728Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6485935Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6486145Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6486349Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6486553Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6486747Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6486947Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6487177Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6487391Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6487584Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6487811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6488149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6488457Z return mod(*inputs) 2025-09-07T08:04:06.6488731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6489036Z x = self.forward_features(x) 2025-09-07T08:04:06.6489353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6489715Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6490049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6490448Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6490685Z 2025-09-07T08:04:06.6490762Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6490984Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6491188Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6491415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6491747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6492055Z return mod(*inputs) 2025-09-07T08:04:06.6492336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6492636Z x = self.forward_features(x) 2025-09-07T08:04:06.6492945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6493307Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6493644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6494051Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6494276Z 2025-09-07T08:04:06.6494383Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6494719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6495025Z return mod(*inputs) 2025-09-07T08:04:06.6495304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6495604Z x = self.forward_features(x) 2025-09-07T08:04:06.6495914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6496273Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6496609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6496915Z patch_embed = torch.cat( 2025-09-07T08:04:06.6497025Z 2025-09-07T08:04:06.6497114Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6497315Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6497540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6497882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6498195Z return mod(*inputs) 2025-09-07T08:04:06.6498465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6498768Z x = self.forward_features(x) 2025-09-07T08:04:06.6499089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6499453Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6499834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6500225Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6500609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6500922Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6501058Z 2025-09-07T08:04:06.6501162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6501494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6501800Z return mod(*inputs) 2025-09-07T08:04:06.6502071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6502367Z x = self.forward_features(x) 2025-09-07T08:04:06.6502681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6503034Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6503366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6503765Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6504151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6504461Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6504593Z 2025-09-07T08:04:06.6504693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6505033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6505338Z return mod(*inputs) 2025-09-07T08:04:06.6505613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6505909Z x = self.forward_features(x) 2025-09-07T08:04:06.6506228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6506582Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6506910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6507285Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6507658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6507968Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6508105Z 2025-09-07T08:04:06.6508183Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6508392Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6508608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6508947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6509250Z return mod(*inputs) 2025-09-07T08:04:06.6509528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6509828Z x = self.forward_features(x) 2025-09-07T08:04:06.6510132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6510489Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6510817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6511198Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6511568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6511884Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6512058Z 2025-09-07T08:04:06.6512159Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6512515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6512824Z return mod(*inputs) 2025-09-07T08:04:06.6513096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6513397Z x = self.forward_features(x) 2025-09-07T08:04:06.6513712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6514071Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6514392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6514771Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6515151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6515469Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6515637Z 2025-09-07T08:04:06.6515764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6516104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6516422Z return mod(*inputs) 2025-09-07T08:04:06.6516707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6517015Z x = self.forward_features(x) 2025-09-07T08:04:06.6517337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6517699Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6518039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6518434Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6518827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6519146Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6519297Z 2025-09-07T08:04:06.6519379Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6519590Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6519799Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6520008Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6520229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6520580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6520896Z return mod(*inputs) 2025-09-07T08:04:06.6521183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6521483Z x = self.forward_features(x) 2025-09-07T08:04:06.6521808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6522179Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6522521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6522908Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6523291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6523613Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6523757Z 2025-09-07T08:04:06.6523858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6524208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6524513Z return mod(*inputs) 2025-09-07T08:04:06.6524826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6525150Z x = self.forward_features(x) 2025-09-07T08:04:06.6525468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6525838Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6526174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6526565Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6526951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6527275Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6527413Z 2025-09-07T08:04:06.6527525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6527869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6528186Z return mod(*inputs) 2025-09-07T08:04:06.6528479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6528805Z x = self.forward_features(x) 2025-09-07T08:04:06.6529123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6529493Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6529835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6530223Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6530612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6530960Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6531105Z 2025-09-07T08:04:06.6531189Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6531407Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6531645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6531992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6532310Z return mod(*inputs) 2025-09-07T08:04:06.6532598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6532911Z x = self.forward_features(x) 2025-09-07T08:04:06.6533239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6533645Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6533983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6534357Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6534530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6534629Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6534632Z 2025-09-07T08:04:06.6534731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6534923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6534988Z return mod(*inputs) 2025-09-07T08:04:06.6535159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6535237Z x = self.forward_features(x) 2025-09-07T08:04:06.6535433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6535542Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6535763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6535926Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6536104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6536193Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6536196Z 2025-09-07T08:04:06.6536301Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6536486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6536558Z return mod(*inputs) 2025-09-07T08:04:06.6536727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6536795Z x = self.forward_features(x) 2025-09-07T08:04:06.6536996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6537096Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6537275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6537439Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6537607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6537702Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6537706Z 2025-09-07T08:04:06.6537785Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6537870Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6537966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6538154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6538229Z return mod(*inputs) 2025-09-07T08:04:06.6538399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6538475Z x = self.forward_features(x) 2025-09-07T08:04:06.6538672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6538775Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6538949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6539090Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6539093Z 2025-09-07T08:04:06.6539175Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539251Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539330Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539402Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539474Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539555Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539630Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539705Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6539810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6539990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6540060Z return mod(*inputs) 2025-09-07T08:04:06.6540227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6540294Z x = self.forward_features(x) 2025-09-07T08:04:06.6540493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6540593Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6540773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6540986Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6541003Z 2025-09-07T08:04:06.6541089Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6541164Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6541238Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6541348Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6541532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6541602Z return mod(*inputs) 2025-09-07T08:04:06.6541773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6541845Z x = self.forward_features(x) 2025-09-07T08:04:06.6542049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6542151Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6542331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6542504Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6542521Z 2025-09-07T08:04:06.6542625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6542808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6542870Z return mod(*inputs) 2025-09-07T08:04:06.6543051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6543119Z x = self.forward_features(x) 2025-09-07T08:04:06.6543319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6543421Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6543594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6543675Z patch_embed = torch.cat( 2025-09-07T08:04:06.6543678Z 2025-09-07T08:04:06.6543753Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6543835Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6543931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6544115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6544185Z return mod(*inputs) 2025-09-07T08:04:06.6544354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6544428Z x = self.forward_features(x) 2025-09-07T08:04:06.6544621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6544725Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6544907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6545058Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6545237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6545320Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6545323Z 2025-09-07T08:04:06.6545428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6545610Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6545673Z return mod(*inputs) 2025-09-07T08:04:06.6545852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6545920Z x = self.forward_features(x) 2025-09-07T08:04:06.6546151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6546255Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6546442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6546597Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6546766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6546855Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6546858Z 2025-09-07T08:04:06.6546956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6547138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6547209Z return mod(*inputs) 2025-09-07T08:04:06.6547376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6547454Z x = self.forward_features(x) 2025-09-07T08:04:06.6547646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6547774Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6547941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6548087Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6548266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6548347Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6548350Z 2025-09-07T08:04:06.6548431Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6548509Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6548606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6548801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6548866Z return mod(*inputs) 2025-09-07T08:04:06.6549038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6549108Z x = self.forward_features(x) 2025-09-07T08:04:06.6549301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6549410Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6549581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6549737Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6549907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6550002Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6550005Z 2025-09-07T08:04:06.6550104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6550287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6550359Z return mod(*inputs) 2025-09-07T08:04:06.6550531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6550607Z x = self.forward_features(x) 2025-09-07T08:04:06.6550800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6550903Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6551081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6551227Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6551436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6551535Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6551538Z 2025-09-07T08:04:06.6551643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6551826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6551892Z return mod(*inputs) 2025-09-07T08:04:06.6552068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6552140Z x = self.forward_features(x) 2025-09-07T08:04:06.6552345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6552445Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6552611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6552768Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6552938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6553045Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6553048Z 2025-09-07T08:04:06.6553126Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6553202Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6553285Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6553361Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6553477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6553661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6553724Z return mod(*inputs) 2025-09-07T08:04:06.6553905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6553974Z x = self.forward_features(x) 2025-09-07T08:04:06.6554181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6554284Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6554456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6554607Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6554776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6554866Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6554869Z 2025-09-07T08:04:06.6554965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6555154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6555219Z return mod(*inputs) 2025-09-07T08:04:06.6555393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6555472Z x = self.forward_features(x) 2025-09-07T08:04:06.6555666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6555776Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6555946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6556091Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6556268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6556349Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6556351Z 2025-09-07T08:04:06.6556457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6556670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6556753Z return mod(*inputs) 2025-09-07T08:04:06.6556926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6556994Z x = self.forward_features(x) 2025-09-07T08:04:06.6557197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6557299Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6557484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6557629Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6557802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6557891Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6557894Z 2025-09-07T08:04:06.6557973Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6558059Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6558155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6558360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6558435Z return mod(*inputs) 2025-09-07T08:04:06.6558606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6558684Z x = self.forward_features(x) 2025-09-07T08:04:06.6558878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6558978Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6559156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6559299Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6559472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6559555Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6559559Z 2025-09-07T08:04:06.6559660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6559844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6559907Z return mod(*inputs) 2025-09-07T08:04:06.6560080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6560148Z x = self.forward_features(x) 2025-09-07T08:04:06.6560349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6560449Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6560619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6560765Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6560935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6561028Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6561031Z 2025-09-07T08:04:06.6561127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6561313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6561376Z return mod(*inputs) 2025-09-07T08:04:06.6561544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6561619Z x = self.forward_features(x) 2025-09-07T08:04:06.6561812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6561952Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6562135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6562280Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6562456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6562540Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6562543Z 2025-09-07T08:04:06.6562626Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6562701Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6562774Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6562858Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6562931Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563013Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563086Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563162Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563243Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563318Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6563441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6563622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6563686Z return mod(*inputs) 2025-09-07T08:04:06.6563868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6563938Z x = self.forward_features(x) 2025-09-07T08:04:06.6564142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6564243Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6564409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6564592Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6564596Z 2025-09-07T08:04:06.6564672Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6564751Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6564823Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6564919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6565110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6565175Z return mod(*inputs) 2025-09-07T08:04:06.6565353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6565421Z x = self.forward_features(x) 2025-09-07T08:04:06.6565624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6565729Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6565900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6566079Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6566082Z 2025-09-07T08:04:06.6566177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6566369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6566432Z return mod(*inputs) 2025-09-07T08:04:06.6566598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6566675Z x = self.forward_features(x) 2025-09-07T08:04:06.6566869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6566981Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6567176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6567262Z patch_embed = torch.cat( 2025-09-07T08:04:06.6567274Z 2025-09-07T08:04:06.6567351Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6567425Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6567530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6567712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6567781Z return mod(*inputs) 2025-09-07T08:04:06.6567952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6568020Z x = self.forward_features(x) 2025-09-07T08:04:06.6568222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6568325Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6568505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6568657Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6568842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6568934Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6568937Z 2025-09-07T08:04:06.6569033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6569225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6569289Z return mod(*inputs) 2025-09-07T08:04:06.6569459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6569534Z x = self.forward_features(x) 2025-09-07T08:04:06.6569727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6569840Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6570008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6570165Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6570335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6570416Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6570419Z 2025-09-07T08:04:06.6570524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6570704Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6570776Z return mod(*inputs) 2025-09-07T08:04:06.6570948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6571019Z x = self.forward_features(x) 2025-09-07T08:04:06.6571225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6571329Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6571508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6571654Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6571824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6571913Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6571916Z 2025-09-07T08:04:06.6571992Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6572074Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6572168Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6572386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6572466Z return mod(*inputs) 2025-09-07T08:04:06.6572639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6572715Z x = self.forward_features(x) 2025-09-07T08:04:06.6572910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6573019Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6573190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6573338Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6573515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6573603Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6573606Z 2025-09-07T08:04:06.6573711Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6573895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6573973Z return mod(*inputs) 2025-09-07T08:04:06.6574152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6574220Z x = self.forward_features(x) 2025-09-07T08:04:06.6574421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6574523Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6574700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6574848Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6575022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6575116Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6575120Z 2025-09-07T08:04:06.6575214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6575408Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6575471Z return mod(*inputs) 2025-09-07T08:04:06.6575643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6575722Z x = self.forward_features(x) 2025-09-07T08:04:06.6575917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6576029Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6576195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6576344Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6576521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6576607Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6576610Z 2025-09-07T08:04:06.6576696Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6576771Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6576857Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6576930Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6577027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6577221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6577287Z return mod(*inputs) 2025-09-07T08:04:06.6577468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6577580Z x = self.forward_features(x) 2025-09-07T08:04:06.6577800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6577912Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6578088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6578239Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6578413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6578497Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6578500Z 2025-09-07T08:04:06.6578607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6578794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6578865Z return mod(*inputs) 2025-09-07T08:04:06.6579042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6579112Z x = self.forward_features(x) 2025-09-07T08:04:06.6579333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6579434Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6579611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6579754Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6579932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6580018Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6580021Z 2025-09-07T08:04:06.6580118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6580315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6580381Z return mod(*inputs) 2025-09-07T08:04:06.6580564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6580634Z x = self.forward_features(x) 2025-09-07T08:04:06.6580830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6580939Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6581109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6581261Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6581429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6581510Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6581525Z 2025-09-07T08:04:06.6581604Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6581680Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6581784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6581966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6582037Z return mod(*inputs) 2025-09-07T08:04:06.6582207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6582275Z x = self.forward_features(x) 2025-09-07T08:04:06.6582477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6582578Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6582757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6582930Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6583111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6583205Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6583208Z 2025-09-07T08:04:06.6583302Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6583491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6583555Z return mod(*inputs) 2025-09-07T08:04:06.6583722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6583796Z x = self.forward_features(x) 2025-09-07T08:04:06.6583986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6584095Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6584265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6584414Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6584598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6584680Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6584683Z 2025-09-07T08:04:06.6584788Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6584969Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6585040Z return mod(*inputs) 2025-09-07T08:04:06.6585212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6585280Z x = self.forward_features(x) 2025-09-07T08:04:06.6585484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6585585Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6585763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6585909Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6586078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6586169Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6586172Z 2025-09-07T08:04:06.6586248Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6586332Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6586427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6586619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6586683Z return mod(*inputs) 2025-09-07T08:04:06.6586855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6586935Z x = self.forward_features(x) 2025-09-07T08:04:06.6587128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6587237Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6587405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6587548Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6587551Z 2025-09-07T08:04:06.6587638Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6587713Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6587793Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6587866Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6587940Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6588050Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6588138Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6588218Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6588318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6588502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6588576Z return mod(*inputs) 2025-09-07T08:04:06.6588748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6588825Z x = self.forward_features(x) 2025-09-07T08:04:06.6589019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6589121Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6589301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6589476Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6589480Z 2025-09-07T08:04:06.6589563Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6589653Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6589726Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6589832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6590017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6590088Z return mod(*inputs) 2025-09-07T08:04:06.6590259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6590335Z x = self.forward_features(x) 2025-09-07T08:04:06.6590529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6590633Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6590817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6590989Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6590994Z 2025-09-07T08:04:06.6591101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6591285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6591348Z return mod(*inputs) 2025-09-07T08:04:06.6591527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6591595Z x = self.forward_features(x) 2025-09-07T08:04:06.6591799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6591903Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6592075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6592155Z patch_embed = torch.cat( 2025-09-07T08:04:06.6592160Z 2025-09-07T08:04:06.6592235Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6592318Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6592416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6592607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6592672Z return mod(*inputs) 2025-09-07T08:04:06.6592845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6592920Z x = self.forward_features(x) 2025-09-07T08:04:06.6593114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6593226Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6593445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6593608Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6593789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6593874Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6593877Z 2025-09-07T08:04:06.6593980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6594162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6594227Z return mod(*inputs) 2025-09-07T08:04:06.6594408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6594477Z x = self.forward_features(x) 2025-09-07T08:04:06.6594676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6594778Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6594954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6595119Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6595292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6595383Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6595386Z 2025-09-07T08:04:06.6595481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6595670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6595733Z return mod(*inputs) 2025-09-07T08:04:06.6595902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6595980Z x = self.forward_features(x) 2025-09-07T08:04:06.6596177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6596289Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6596459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6596605Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6596782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6596864Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6596867Z 2025-09-07T08:04:06.6596949Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6597024Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6597131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6597315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6597381Z return mod(*inputs) 2025-09-07T08:04:06.6597560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6597628Z x = self.forward_features(x) 2025-09-07T08:04:06.6597830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6597933Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6598101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6598260Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6598431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6598525Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6598564Z 2025-09-07T08:04:06.6598678Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6598858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6598932Z return mod(*inputs) 2025-09-07T08:04:06.6599103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6599179Z x = self.forward_features(x) 2025-09-07T08:04:06.6599373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6599483Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6599652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6599799Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6599976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6600062Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6600065Z 2025-09-07T08:04:06.6600187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6600370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6600434Z return mod(*inputs) 2025-09-07T08:04:06.6600613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6600692Z x = self.forward_features(x) 2025-09-07T08:04:06.6600893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6600995Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6601167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6601322Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6601493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6601590Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6601593Z 2025-09-07T08:04:06.6601667Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6601749Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6601824Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6601896Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6602000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6602185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6602256Z return mod(*inputs) 2025-09-07T08:04:06.6602425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6602496Z x = self.forward_features(x) 2025-09-07T08:04:06.6602701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6602804Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6602983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6603129Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6603297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6603390Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6603393Z 2025-09-07T08:04:06.6603488Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6603678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6603739Z return mod(*inputs) 2025-09-07T08:04:06.6603936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6604028Z x = self.forward_features(x) 2025-09-07T08:04:06.6604226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6604338Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6604509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6604663Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6604831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6604912Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6604915Z 2025-09-07T08:04:06.6605019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6605206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6605281Z return mod(*inputs) 2025-09-07T08:04:06.6605451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6605539Z x = self.forward_features(x) 2025-09-07T08:04:06.6605741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6605842Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6606021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6606163Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6606331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6606421Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6606424Z 2025-09-07T08:04:06.6606504Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6606587Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6606684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6606875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6606938Z return mod(*inputs) 2025-09-07T08:04:06.6607106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6607185Z x = self.forward_features(x) 2025-09-07T08:04:06.6607375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6607480Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6607649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6607793Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6607966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6608050Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6608053Z 2025-09-07T08:04:06.6608156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6608338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6608400Z return mod(*inputs) 2025-09-07T08:04:06.6608577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6608645Z x = self.forward_features(x) 2025-09-07T08:04:06.6608843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6608945Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6609151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6609311Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6609481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6609573Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6609576Z 2025-09-07T08:04:06.6609672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6609863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6609925Z return mod(*inputs) 2025-09-07T08:04:06.6610091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6610168Z x = self.forward_features(x) 2025-09-07T08:04:06.6610362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6610476Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6610647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6610805Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6610982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6611065Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6611068Z 2025-09-07T08:04:06.6611151Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611228Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611311Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611384Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611458Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611541Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611619Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611694Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611777Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611854Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6611962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6612143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6612205Z return mod(*inputs) 2025-09-07T08:04:06.6612384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6612452Z x = self.forward_features(x) 2025-09-07T08:04:06.6612657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6612759Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6612939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6613107Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6613112Z 2025-09-07T08:04:06.6613187Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6613270Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6613342Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6613445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6613628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6613692Z return mod(*inputs) 2025-09-07T08:04:06.6613866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6613934Z x = self.forward_features(x) 2025-09-07T08:04:06.6614136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6614268Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6614454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6614631Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6614634Z 2025-09-07T08:04:06.6614731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6614922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6614987Z return mod(*inputs) 2025-09-07T08:04:06.6615167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6615235Z x = self.forward_features(x) 2025-09-07T08:04:06.6615429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6615543Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6615714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6615793Z patch_embed = torch.cat( 2025-09-07T08:04:06.6615809Z 2025-09-07T08:04:06.6615886Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6615962Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6616068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6616250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6616318Z return mod(*inputs) 2025-09-07T08:04:06.6616486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6616554Z x = self.forward_features(x) 2025-09-07T08:04:06.6616756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6616861Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6617042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6617192Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6617358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6617447Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6617450Z 2025-09-07T08:04:06.6617544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6617734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6617796Z return mod(*inputs) 2025-09-07T08:04:06.6617971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6618041Z x = self.forward_features(x) 2025-09-07T08:04:06.6618237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6618348Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6618519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6618673Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6618841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6618921Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6618924Z 2025-09-07T08:04:06.6619026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6619207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6619277Z return mod(*inputs) 2025-09-07T08:04:06.6619485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6619577Z x = self.forward_features(x) 2025-09-07T08:04:06.6619771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6619875Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6620050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6620197Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6620371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6620452Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6620455Z 2025-09-07T08:04:06.6620531Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6620612Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6620706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6620899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6620964Z return mod(*inputs) 2025-09-07T08:04:06.6621151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6621227Z x = self.forward_features(x) 2025-09-07T08:04:06.6621422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6621532Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6621700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6621848Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6622023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6622109Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6622114Z 2025-09-07T08:04:06.6622217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6622400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6622473Z return mod(*inputs) 2025-09-07T08:04:06.6622642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6622713Z x = self.forward_features(x) 2025-09-07T08:04:06.6622915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6623018Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6623194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6623341Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6623510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6623604Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6623608Z 2025-09-07T08:04:06.6623704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6623897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6623962Z return mod(*inputs) 2025-09-07T08:04:06.6624140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6624208Z x = self.forward_features(x) 2025-09-07T08:04:06.6624402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6624512Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6624682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6624865Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6625048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6625134Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6625137Z 2025-09-07T08:04:06.6625222Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6625299Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6625382Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6625458Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6625553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6625742Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6625806Z return mod(*inputs) 2025-09-07T08:04:06.6625988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6626059Z x = self.forward_features(x) 2025-09-07T08:04:06.6626254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6626381Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6626554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6626709Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6626878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6626969Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6626972Z 2025-09-07T08:04:06.6627068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6627257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6627332Z return mod(*inputs) 2025-09-07T08:04:06.6627503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6627581Z x = self.forward_features(x) 2025-09-07T08:04:06.6627780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6627881Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6628063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6628207Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6628384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6628467Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6628470Z 2025-09-07T08:04:06.6628567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6628763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6628829Z return mod(*inputs) 2025-09-07T08:04:06.6629011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6629079Z x = self.forward_features(x) 2025-09-07T08:04:06.6629280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6629379Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6629550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6629701Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6629869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6629988Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6629990Z 2025-09-07T08:04:06.6630081Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6630154Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6630262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6630491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6630563Z return mod(*inputs) 2025-09-07T08:04:06.6630738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6630835Z x = self.forward_features(x) 2025-09-07T08:04:06.6631043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6631144Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6631328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6631479Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6631663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6631786Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6631789Z 2025-09-07T08:04:06.6631887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6632087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6632152Z return mod(*inputs) 2025-09-07T08:04:06.6632333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6632401Z x = self.forward_features(x) 2025-09-07T08:04:06.6632601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6632712Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6632887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6633045Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6633221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6633305Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6633315Z 2025-09-07T08:04:06.6633414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6633603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6633678Z return mod(*inputs) 2025-09-07T08:04:06.6633851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6633928Z x = self.forward_features(x) 2025-09-07T08:04:06.6634132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6634239Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6634419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6634569Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6634749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6634836Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6634839Z 2025-09-07T08:04:06.6634919Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6635007Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6635105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6635301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6635367Z return mod(*inputs) 2025-09-07T08:04:06.6635598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6635699Z x = self.forward_features(x) 2025-09-07T08:04:06.6635903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6636018Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6636195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6636351Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6636354Z 2025-09-07T08:04:06.6636431Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636508Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636590Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636664Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636751Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636826Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636904Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6636986Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6637108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6637293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6637367Z return mod(*inputs) 2025-09-07T08:04:06.6637544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6637621Z x = self.forward_features(x) 2025-09-07T08:04:06.6637821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6637933Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6638109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6638290Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6638294Z 2025-09-07T08:04:06.6638380Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6638458Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6638544Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6638644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6638833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6638907Z return mod(*inputs) 2025-09-07T08:04:06.6639083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6639160Z x = self.forward_features(x) 2025-09-07T08:04:06.6639357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6639464Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6639649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6639822Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6639826Z 2025-09-07T08:04:06.6639933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6640116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6640187Z return mod(*inputs) 2025-09-07T08:04:06.6640360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6640431Z x = self.forward_features(x) 2025-09-07T08:04:06.6640639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6640741Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6640956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6641044Z patch_embed = torch.cat( 2025-09-07T08:04:06.6641048Z 2025-09-07T08:04:06.6641125Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6641209Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6641306Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6641503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6641569Z return mod(*inputs) 2025-09-07T08:04:06.6641744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6641820Z x = self.forward_features(x) 2025-09-07T08:04:06.6642017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6642132Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6642308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6642460Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6642656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6642742Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6642745Z 2025-09-07T08:04:06.6642849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6643036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6643110Z return mod(*inputs) 2025-09-07T08:04:06.6643281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6643350Z x = self.forward_features(x) 2025-09-07T08:04:06.6643557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6643663Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6643852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6643998Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6644165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6644256Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6644259Z 2025-09-07T08:04:06.6644354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6644540Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6644606Z return mod(*inputs) 2025-09-07T08:04:06.6644783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6644852Z x = self.forward_features(x) 2025-09-07T08:04:06.6645049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6645162Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6645331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6645486Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6645653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6645735Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6645738Z 2025-09-07T08:04:06.6645824Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6645900Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6646004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6646216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6646295Z return mod(*inputs) 2025-09-07T08:04:06.6646480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6646547Z x = self.forward_features(x) 2025-09-07T08:04:06.6646748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6646850Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6647022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6647181Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6647349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6647445Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6647448Z 2025-09-07T08:04:06.6647547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6647739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6647819Z return mod(*inputs) 2025-09-07T08:04:06.6647990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6648077Z x = self.forward_features(x) 2025-09-07T08:04:06.6648271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6648383Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6648554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6648701Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6648881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6648968Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6648974Z 2025-09-07T08:04:06.6649079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6649259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6649330Z return mod(*inputs) 2025-09-07T08:04:06.6649498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6649568Z x = self.forward_features(x) 2025-09-07T08:04:06.6649770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6649871Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6650050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6650199Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6650368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6650464Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6650467Z 2025-09-07T08:04:06.6650543Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6650627Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6650700Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6650773Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6650881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6651063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6651135Z return mod(*inputs) 2025-09-07T08:04:06.6651304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6651403Z x = self.forward_features(x) 2025-09-07T08:04:06.6651621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6651722Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6651897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6652042Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6652218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6652300Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6652303Z 2025-09-07T08:04:06.6652399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6652592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6652657Z return mod(*inputs) 2025-09-07T08:04:06.6652836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6652904Z x = self.forward_features(x) 2025-09-07T08:04:06.6653114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6653222Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6653391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6653540Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6653713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6653795Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6653807Z 2025-09-07T08:04:06.6653902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6654089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6654163Z return mod(*inputs) 2025-09-07T08:04:06.6654330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6654408Z x = self.forward_features(x) 2025-09-07T08:04:06.6654601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6654702Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6654879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6655021Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6655197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6655278Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6655283Z 2025-09-07T08:04:06.6655361Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6655443Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6655540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6655729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6655792Z return mod(*inputs) 2025-09-07T08:04:06.6655961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6656038Z x = self.forward_features(x) 2025-09-07T08:04:06.6656235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6656346Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6656516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6656696Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6656888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6656974Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6656977Z 2025-09-07T08:04:06.6657078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6657259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6657328Z return mod(*inputs) 2025-09-07T08:04:06.6657499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6657566Z x = self.forward_features(x) 2025-09-07T08:04:06.6657768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6657869Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6658046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6658191Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6658373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6658464Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6658467Z 2025-09-07T08:04:06.6658561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6658750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6658816Z return mod(*inputs) 2025-09-07T08:04:06.6658996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6659066Z x = self.forward_features(x) 2025-09-07T08:04:06.6659263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6659377Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6659549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6659702Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6659870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6659951Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6659954Z 2025-09-07T08:04:06.6660038Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660114Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660200Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660276Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660350Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660432Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660506Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660588Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660660Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660735Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6660840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6661023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6661096Z return mod(*inputs) 2025-09-07T08:04:06.6661266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6661334Z x = self.forward_features(x) 2025-09-07T08:04:06.6661540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6661641Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6661847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6662037Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6662042Z 2025-09-07T08:04:06.6662124Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6662198Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6662270Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6662376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6662562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6662633Z return mod(*inputs) 2025-09-07T08:04:06.6662805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6662874Z x = self.forward_features(x) 2025-09-07T08:04:06.6663074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6663180Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6663355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6663537Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6663540Z 2025-09-07T08:04:06.6663636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6663827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6663892Z return mod(*inputs) 2025-09-07T08:04:06.6664071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6664138Z x = self.forward_features(x) 2025-09-07T08:04:06.6664330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6664442Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6664614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6664691Z patch_embed = torch.cat( 2025-09-07T08:04:06.6664694Z 2025-09-07T08:04:06.6664771Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6664854Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6664953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6665132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6665202Z return mod(*inputs) 2025-09-07T08:04:06.6665369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6665448Z x = self.forward_features(x) 2025-09-07T08:04:06.6665640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6665743Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6665923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6666073Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6666251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6666333Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6666336Z 2025-09-07T08:04:06.6666431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6666622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6666685Z return mod(*inputs) 2025-09-07T08:04:06.6666860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6666929Z x = self.forward_features(x) 2025-09-07T08:04:06.6667153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6667280Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6667450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6667606Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6667773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6667863Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6667866Z 2025-09-07T08:04:06.6667962Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6668140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6668241Z return mod(*inputs) 2025-09-07T08:04:06.6668412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6668491Z x = self.forward_features(x) 2025-09-07T08:04:06.6668684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6668803Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6668978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6669127Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6669303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6669385Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6669387Z 2025-09-07T08:04:06.6669473Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6669551Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6669649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6669840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6669905Z return mod(*inputs) 2025-09-07T08:04:06.6670086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6670153Z x = self.forward_features(x) 2025-09-07T08:04:06.6670346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6670457Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6670626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6670781Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6670950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6671039Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6671043Z 2025-09-07T08:04:06.6671148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6671331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6671405Z return mod(*inputs) 2025-09-07T08:04:06.6671576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6671646Z x = self.forward_features(x) 2025-09-07T08:04:06.6671848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6671951Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6672130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6672277Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6672484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6672585Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6672590Z 2025-09-07T08:04:06.6672686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6672876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6672939Z return mod(*inputs) 2025-09-07T08:04:06.6673116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6673185Z x = self.forward_features(x) 2025-09-07T08:04:06.6673379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6673488Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6673660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6673819Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6673989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6674117Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6674120Z 2025-09-07T08:04:06.6674198Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6674274Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6674356Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6674427Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6674529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6674711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6674773Z return mod(*inputs) 2025-09-07T08:04:06.6674955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6675027Z x = self.forward_features(x) 2025-09-07T08:04:06.6675231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6675335Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6675509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6675660Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6675829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6675917Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6675920Z 2025-09-07T08:04:06.6676016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6676199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6676274Z return mod(*inputs) 2025-09-07T08:04:06.6676447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6676525Z x = self.forward_features(x) 2025-09-07T08:04:06.6676721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6676829Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6676998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6677141Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6677321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6677403Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6677405Z 2025-09-07T08:04:06.6677545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6677728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6677807Z return mod(*inputs) 2025-09-07T08:04:06.6677986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6678054Z x = self.forward_features(x) 2025-09-07T08:04:06.6678257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6678358Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6678525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6678676Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6678843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6678934Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6678938Z 2025-09-07T08:04:06.6679016Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6679101Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6679214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6679396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6679466Z return mod(*inputs) 2025-09-07T08:04:06.6679635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6679709Z x = self.forward_features(x) 2025-09-07T08:04:06.6679905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6680006Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6680182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6680328Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6680505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6680591Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6680594Z 2025-09-07T08:04:06.6680689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6680880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6680943Z return mod(*inputs) 2025-09-07T08:04:06.6681121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6681187Z x = self.forward_features(x) 2025-09-07T08:04:06.6681382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6681492Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6681660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6681812Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6681981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6682073Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6682076Z 2025-09-07T08:04:06.6682172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6682357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6682429Z return mod(*inputs) 2025-09-07T08:04:06.6682600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6682678Z x = self.forward_features(x) 2025-09-07T08:04:06.6682904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6683022Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6683200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6683341Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6683519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6683601Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6683605Z 2025-09-07T08:04:06.6683692Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6683767Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6683863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6684054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6684121Z return mod(*inputs) 2025-09-07T08:04:06.6684300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6684383Z x = self.forward_features(x) 2025-09-07T08:04:06.6684578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6684689Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6684858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 145, in forward 2025-09-07T08:04:06.6685008Z pixel_embed = pixel_embed + self.drop_path(self.attn_in(self.norm_in(pixel_embed))) 2025-09-07T08:04:06.6685011Z 2025-09-07T08:04:06.6685089Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685163Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685242Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685313Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685395Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685470Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685543Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685626Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6685724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6685915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6685982Z return mod(*inputs) 2025-09-07T08:04:06.6686151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6686228Z x = self.forward_features(x) 2025-09-07T08:04:06.6686420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6686529Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6686697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6686869Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6686880Z 2025-09-07T08:04:06.6686954Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6687027Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6687105Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6687199Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6687390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6687456Z return mod(*inputs) 2025-09-07T08:04:06.6687626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6687699Z x = self.forward_features(x) 2025-09-07T08:04:06.6687892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6688028Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6688209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 150, in forward 2025-09-07T08:04:06.6688378Z [patch_embed[:, 0:1], patch_embed[:, 1:] + self.proj(self.norm1_proj(pixel_embed).reshape(B, N - 1, -1))], 2025-09-07T08:04:06.6688381Z 2025-09-07T08:04:06.6688485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6688666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6688737Z return mod(*inputs) 2025-09-07T08:04:06.6688907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6688974Z x = self.forward_features(x) 2025-09-07T08:04:06.6689175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6689280Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6689456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 149, in forward 2025-09-07T08:04:06.6689525Z patch_embed = torch.cat( 2025-09-07T08:04:06.6689543Z 2025-09-07T08:04:06.6689654Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6689730Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6689827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6690015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6690080Z return mod(*inputs) 2025-09-07T08:04:06.6690296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6690366Z x = self.forward_features(x) 2025-09-07T08:04:06.6690566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6690681Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6690856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6691019Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6691194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6691280Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6691283Z 2025-09-07T08:04:06.6691388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6691573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6691645Z return mod(*inputs) 2025-09-07T08:04:06.6691820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6691890Z x = self.forward_features(x) 2025-09-07T08:04:06.6692101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6692208Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6692388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6692542Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6692724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6692811Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6692814Z 2025-09-07T08:04:06.6692914Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6693108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6693172Z return mod(*inputs) 2025-09-07T08:04:06.6693380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6693465Z x = self.forward_features(x) 2025-09-07T08:04:06.6693669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6693788Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6693965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6694128Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6694304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 70, in forward 2025-09-07T08:04:06.6694396Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:04:06.6694399Z 2025-09-07T08:04:06.6694478Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6694555Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6694667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6694857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6694935Z return mod(*inputs) 2025-09-07T08:04:06.6695131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6695202Z x = self.forward_features(x) 2025-09-07T08:04:06.6695407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6695511Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6695690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6695838Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6696012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6696111Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6696115Z 2025-09-07T08:04:06.6696213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6696409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6696474Z return mod(*inputs) 2025-09-07T08:04:06.6696646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6696722Z x = self.forward_features(x) 2025-09-07T08:04:06.6696920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6697027Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6697197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6697352Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6697533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6697622Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6697626Z 2025-09-07T08:04:06.6697734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6697916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6697989Z return mod(*inputs) 2025-09-07T08:04:06.6698160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 335, in forward 2025-09-07T08:04:06.6698230Z x = self.forward_features(x) 2025-09-07T08:04:06.6698435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 323, in forward_features 2025-09-07T08:04:06.6698538Z pixel_embed, patch_embed = blk(pixel_embed, patch_embed) 2025-09-07T08:04:06.6698753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 152, in forward 2025-09-07T08:04:06.6698906Z patch_embed = patch_embed + self.drop_path(self.attn_out(self.norm_out(patch_embed))) 2025-09-07T08:04:06.6699105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 74, in forward 2025-09-07T08:04:06.6699192Z x = (attn @ v).transpose(1, 2).reshape(B, N, -1) 2025-09-07T08:04:06.6699194Z 2025-09-07T08:04:06.6699272Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699359Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699434Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699516Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699589Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699663Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6699770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:06.6699963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:04:06.6700040Z return mod(*inputs) 2025-09-07T08:04:06.6700216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 336, in forward 2025-09-07T08:04:06.6700288Z x = self.forward_head(x) 2025-09-07T08:04:06.6700511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/tnt.py", line 332, in forward_head 2025-09-07T08:04:06.6700597Z return x if pre_logits else self.head(x) 2025-09-07T08:04:06.6700601Z 2025-09-07T08:04:06.6700682Z cudagraph partition due to non gpu ops 2025-09-07T08:04:06.6700756Z cudagraph partition due to non gpu ops 2025-09-07T08:04:35.2212750Z pass 2025-09-07T08:04:35.2213165Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:37.5885040Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:04:37.5885984Z import pynvml # type: ignore[import] 2025-09-07T08:04:39.7504623Z 2025-09-07T08:04:40.4950978Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:40.4951337Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:40.4951599Z cpu eval twins_pcpvt_base 2025-09-07T08:04:41.0242378Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:41.1457837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:41.2660563Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:03.6041624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6042036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6042368Z return mod(*inputs) 2025-09-07T08:05:03.6042716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6043070Z x = self.forward_features(x) 2025-09-07T08:05:03.6043431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6043771Z x, size = embed(x) 2025-09-07T08:05:03.6044057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6044391Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6044542Z 2025-09-07T08:05:03.6044651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6045003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6045319Z return mod(*inputs) 2025-09-07T08:05:03.6045606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6046212Z x = self.forward_features(x) 2025-09-07T08:05:03.6046620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6046956Z x, size = embed(x) 2025-09-07T08:05:03.6047243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6047564Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6047716Z 2025-09-07T08:05:03.6047826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6048175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6048493Z return mod(*inputs) 2025-09-07T08:05:03.6048772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6049086Z x = self.forward_features(x) 2025-09-07T08:05:03.6049418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6049750Z x, size = embed(x) 2025-09-07T08:05:03.6050033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6050402Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6050554Z 2025-09-07T08:05:03.6050653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6050995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6051306Z return mod(*inputs) 2025-09-07T08:05:03.6051573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6051879Z x = self.forward_features(x) 2025-09-07T08:05:03.6052201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6052524Z x = blk(x, size) 2025-09-07T08:05:03.6052805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6053146Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6053480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6053807Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6053947Z 2025-09-07T08:05:03.6054054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6054386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6054697Z return mod(*inputs) 2025-09-07T08:05:03.6054979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6055281Z x = self.forward_features(x) 2025-09-07T08:05:03.6055604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6055921Z x = blk(x, size) 2025-09-07T08:05:03.6056198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6056532Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6056861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6057174Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6057322Z 2025-09-07T08:05:03.6057404Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6057614Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6057817Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6058017Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6058216Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6058439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6058828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6059145Z return mod(*inputs) 2025-09-07T08:05:03.6059444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6059758Z x = self.forward_features(x) 2025-09-07T08:05:03.6060081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6060403Z x = blk(x, size) 2025-09-07T08:05:03.6060777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6061103Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6061430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6061773Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6061928Z 2025-09-07T08:05:03.6062010Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6062217Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6062420Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6062624Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6062847Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6063036Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6063258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6063594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6063897Z return mod(*inputs) 2025-09-07T08:05:03.6064174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6064472Z x = self.forward_features(x) 2025-09-07T08:05:03.6064793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6065116Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6065420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6065707Z x += cnn_feat_token 2025-09-07T08:05:03.6065811Z 2025-09-07T08:05:03.6065919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6066252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6066558Z return mod(*inputs) 2025-09-07T08:05:03.6066834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6067125Z x = self.forward_features(x) 2025-09-07T08:05:03.6067441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6067764Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6068063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6068349Z x += cnn_feat_token 2025-09-07T08:05:03.6068455Z 2025-09-07T08:05:03.6068556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6068891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6069196Z return mod(*inputs) 2025-09-07T08:05:03.6069472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6069766Z x = self.forward_features(x) 2025-09-07T08:05:03.6070091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6070408Z x = blk(x, size) 2025-09-07T08:05:03.6070682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6071039Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6071367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6072877Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6073062Z 2025-09-07T08:05:03.6073167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6073507Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6073813Z return mod(*inputs) 2025-09-07T08:05:03.6074101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6074409Z x = self.forward_features(x) 2025-09-07T08:05:03.6074732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6075045Z x = blk(x, size) 2025-09-07T08:05:03.6075327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6075654Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6075986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6076309Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6076469Z 2025-09-07T08:05:03.6076547Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6076752Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6076964Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6077165Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6077355Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6077578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6077914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6078221Z return mod(*inputs) 2025-09-07T08:05:03.6078490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6078794Z x = self.forward_features(x) 2025-09-07T08:05:03.6079128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6079455Z x = blk(x, size) 2025-09-07T08:05:03.6079733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6080055Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6080386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6080726Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6080885Z 2025-09-07T08:05:03.6080971Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6081166Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6081367Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6081568Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6081765Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6081961Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6082184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6082526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6082837Z return mod(*inputs) 2025-09-07T08:05:03.6083117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6083426Z x = self.forward_features(x) 2025-09-07T08:05:03.6083748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6084067Z x = blk(x, size) 2025-09-07T08:05:03.6084341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6084665Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6084999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6085377Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6085545Z 2025-09-07T08:05:03.6085650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6085998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6086301Z return mod(*inputs) 2025-09-07T08:05:03.6086580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6086889Z x = self.forward_features(x) 2025-09-07T08:05:03.6087209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6087520Z x = blk(x, size) 2025-09-07T08:05:03.6087794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6088125Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6088459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6088780Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6088934Z 2025-09-07T08:05:03.6089011Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6089219Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6089425Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6089632Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6089828Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6090056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6090400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6090717Z return mod(*inputs) 2025-09-07T08:05:03.6090997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6091306Z x = self.forward_features(x) 2025-09-07T08:05:03.6091635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6091961Z x = blk(x, size) 2025-09-07T08:05:03.6092241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6092572Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6092909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6093256Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6093412Z 2025-09-07T08:05:03.6093500Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6093703Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6093910Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6094117Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6094321Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6094528Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6094749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6095094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6095408Z return mod(*inputs) 2025-09-07T08:05:03.6095693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6095998Z x = self.forward_features(x) 2025-09-07T08:05:03.6096326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 489, in forward_features 2025-09-07T08:05:03.6096701Z x = x.reshape(B, *size, -1).permute(0, 3, 1, 2).contiguous() 2025-09-07T08:05:03.6096860Z 2025-09-07T08:05:03.6096969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6097313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6097618Z return mod(*inputs) 2025-09-07T08:05:03.6097939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6098263Z x = self.forward_features(x) 2025-09-07T08:05:03.6098583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6098895Z x, size = embed(x) 2025-09-07T08:05:03.6099180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6099500Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6120809Z 2025-09-07T08:05:03.6121005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6121419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6121756Z return mod(*inputs) 2025-09-07T08:05:03.6122103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6122446Z x = self.forward_features(x) 2025-09-07T08:05:03.6122784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6123185Z x, size = embed(x) 2025-09-07T08:05:03.6123478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6123807Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6123949Z 2025-09-07T08:05:03.6124064Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6124418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6124738Z return mod(*inputs) 2025-09-07T08:05:03.6125032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6125347Z x = self.forward_features(x) 2025-09-07T08:05:03.6125672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6126005Z x = blk(x, size) 2025-09-07T08:05:03.6126290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6126638Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6126968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6127300Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6127451Z 2025-09-07T08:05:03.6127549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6127888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6128199Z return mod(*inputs) 2025-09-07T08:05:03.6128477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6128786Z x = self.forward_features(x) 2025-09-07T08:05:03.6129118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6129440Z x = blk(x, size) 2025-09-07T08:05:03.6129710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6130044Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6130380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6130706Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6130940Z 2025-09-07T08:05:03.6131032Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6131235Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6131440Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6131646Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6131842Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6132148Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6132523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6132832Z return mod(*inputs) 2025-09-07T08:05:03.6133116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6133417Z x = self.forward_features(x) 2025-09-07T08:05:03.6133743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6134068Z x = blk(x, size) 2025-09-07T08:05:03.6134350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6134679Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6134998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6135345Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6135509Z 2025-09-07T08:05:03.6135592Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6135803Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6136019Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6136218Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6136420Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6136622Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6136844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6137193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6137508Z return mod(*inputs) 2025-09-07T08:05:03.6137797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6138111Z x = self.forward_features(x) 2025-09-07T08:05:03.6138440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6138787Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6139100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6139413Z x += cnn_feat_token 2025-09-07T08:05:03.6139510Z 2025-09-07T08:05:03.6139612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6139960Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6140272Z return mod(*inputs) 2025-09-07T08:05:03.6140561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6140873Z x = self.forward_features(x) 2025-09-07T08:05:03.6141194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6141533Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6141845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6142157Z x += cnn_feat_token 2025-09-07T08:05:03.6142256Z 2025-09-07T08:05:03.6142355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6142705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6143015Z return mod(*inputs) 2025-09-07T08:05:03.6143304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6143615Z x = self.forward_features(x) 2025-09-07T08:05:03.6143937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6144271Z x = blk(x, size) 2025-09-07T08:05:03.6144553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6144933Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6145266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6145613Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6145768Z 2025-09-07T08:05:03.6145869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6146219Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6146531Z return mod(*inputs) 2025-09-07T08:05:03.6146809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6147122Z x = self.forward_features(x) 2025-09-07T08:05:03.6147455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6147786Z x = blk(x, size) 2025-09-07T08:05:03.6148064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6148410Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6148756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6149103Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6149247Z 2025-09-07T08:05:03.6149334Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6149540Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6149750Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6149955Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6150159Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6150379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6150724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6151041Z return mod(*inputs) 2025-09-07T08:05:03.6151333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6151653Z x = self.forward_features(x) 2025-09-07T08:05:03.6151981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6152317Z x = blk(x, size) 2025-09-07T08:05:03.6152607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6152949Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6153277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6153633Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6153801Z 2025-09-07T08:05:03.6153879Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6154088Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6154285Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6154494Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6154698Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6154900Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6155132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6155474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6155786Z return mod(*inputs) 2025-09-07T08:05:03.6156077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6156388Z x = self.forward_features(x) 2025-09-07T08:05:03.6156711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6157042Z x = blk(x, size) 2025-09-07T08:05:03.6157324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6157667Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6158029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6158392Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6158541Z 2025-09-07T08:05:03.6158642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6158987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6159298Z return mod(*inputs) 2025-09-07T08:05:03.6159579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6159890Z x = self.forward_features(x) 2025-09-07T08:05:03.6160230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6160550Z x = blk(x, size) 2025-09-07T08:05:03.6160828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6161165Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6161507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6161846Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6162001Z 2025-09-07T08:05:03.6162080Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6162290Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6162501Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6162707Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6162899Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6163129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6163473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6163783Z return mod(*inputs) 2025-09-07T08:05:03.6164064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6164375Z x = self.forward_features(x) 2025-09-07T08:05:03.6164714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6165041Z x = blk(x, size) 2025-09-07T08:05:03.6165315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6165650Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6165987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6166336Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6166495Z 2025-09-07T08:05:03.6166581Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6166779Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6166979Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6167184Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6167387Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6167579Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6167808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6168151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6168460Z return mod(*inputs) 2025-09-07T08:05:03.6168737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6169050Z x = self.forward_features(x) 2025-09-07T08:05:03.6169375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6169702Z x = blk(x, size) 2025-09-07T08:05:03.6169982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6170311Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6170679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6171019Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6171162Z 2025-09-07T08:05:03.6171270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6171606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6171917Z return mod(*inputs) 2025-09-07T08:05:03.6172204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6172516Z x = self.forward_features(x) 2025-09-07T08:05:03.6172845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6173165Z x = blk(x, size) 2025-09-07T08:05:03.6173445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6173780Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6174117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6174453Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6174600Z 2025-09-07T08:05:03.6174677Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6174885Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6175090Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6175293Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6175487Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6175713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6176058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6176369Z return mod(*inputs) 2025-09-07T08:05:03.6176648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6176959Z x = self.forward_features(x) 2025-09-07T08:05:03.6177285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6177611Z x = blk(x, size) 2025-09-07T08:05:03.6177883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6178213Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6178545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6178894Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6179050Z 2025-09-07T08:05:03.6179133Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6179330Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6179533Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6179736Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6179936Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6180127Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6180355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6180696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6181005Z return mod(*inputs) 2025-09-07T08:05:03.6181278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6181586Z x = self.forward_features(x) 2025-09-07T08:05:03.6181909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 489, in forward_features 2025-09-07T08:05:03.6182279Z x = x.reshape(B, *size, -1).permute(0, 3, 1, 2).contiguous() 2025-09-07T08:05:03.6182435Z 2025-09-07T08:05:03.6182542Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6182906Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6183915Z return mod(*inputs) 2025-09-07T08:05:03.6184206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6184524Z x = self.forward_features(x) 2025-09-07T08:05:03.6184841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6185170Z x, size = embed(x) 2025-09-07T08:05:03.6185460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6185794Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6185939Z 2025-09-07T08:05:03.6186046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6186384Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6186697Z return mod(*inputs) 2025-09-07T08:05:03.6186985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6187302Z x = self.forward_features(x) 2025-09-07T08:05:03.6187662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6187993Z x, size = embed(x) 2025-09-07T08:05:03.6188286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6188623Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6188763Z 2025-09-07T08:05:03.6188871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6189216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6189535Z return mod(*inputs) 2025-09-07T08:05:03.6189825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6190149Z x = self.forward_features(x) 2025-09-07T08:05:03.6190486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6190814Z x = blk(x, size) 2025-09-07T08:05:03.6191104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6191450Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6191795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6192125Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6192276Z 2025-09-07T08:05:03.6192378Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6192728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6193047Z return mod(*inputs) 2025-09-07T08:05:03.6193342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6193651Z x = self.forward_features(x) 2025-09-07T08:05:03.6193986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6194320Z x = blk(x, size) 2025-09-07T08:05:03.6194609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6194946Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6195292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6195626Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6195772Z 2025-09-07T08:05:03.6195860Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6196076Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6196283Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6196518Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6196736Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6196964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6197300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6197607Z return mod(*inputs) 2025-09-07T08:05:03.6197898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6198209Z x = self.forward_features(x) 2025-09-07T08:05:03.6198533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6198860Z x = blk(x, size) 2025-09-07T08:05:03.6199132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6199463Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6199803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6200148Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6200324Z 2025-09-07T08:05:03.6200401Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6200614Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6200818Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6201022Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6201217Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6201424Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6201652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6201994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6202309Z return mod(*inputs) 2025-09-07T08:05:03.6202588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6202942Z x = self.forward_features(x) 2025-09-07T08:05:03.6203275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6203613Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6203917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6204222Z x += cnn_feat_token 2025-09-07T08:05:03.6204328Z 2025-09-07T08:05:03.6204427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6204771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6205085Z return mod(*inputs) 2025-09-07T08:05:03.6205359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6205667Z x = self.forward_features(x) 2025-09-07T08:05:03.6206000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6206337Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6206638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6206943Z x += cnn_feat_token 2025-09-07T08:05:03.6207052Z 2025-09-07T08:05:03.6207151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6207491Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6207794Z return mod(*inputs) 2025-09-07T08:05:03.6208059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6208358Z x = self.forward_features(x) 2025-09-07T08:05:03.6208674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6208987Z x = blk(x, size) 2025-09-07T08:05:03.6209279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6209626Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6209955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6210281Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6210419Z 2025-09-07T08:05:03.6210523Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6210850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6211151Z return mod(*inputs) 2025-09-07T08:05:03.6211428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6211727Z x = self.forward_features(x) 2025-09-07T08:05:03.6212034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6212355Z x = blk(x, size) 2025-09-07T08:05:03.6212631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6212973Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6213310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6213632Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6213781Z 2025-09-07T08:05:03.6213858Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6214064Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6214267Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6214458Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6214659Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6214886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6215229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6215534Z return mod(*inputs) 2025-09-07T08:05:03.6215818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6216128Z x = self.forward_features(x) 2025-09-07T08:05:03.6216451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6216764Z x = blk(x, size) 2025-09-07T08:05:03.6217038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6217369Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6217695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6218033Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6218187Z 2025-09-07T08:05:03.6218413Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6218615Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6218816Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6219013Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6219202Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6219401Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6219627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6219966Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6220272Z return mod(*inputs) 2025-09-07T08:05:03.6220554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6220861Z x = self.forward_features(x) 2025-09-07T08:05:03.6221181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6221504Z x = blk(x, size) 2025-09-07T08:05:03.6221801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6222145Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6222473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6222795Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6222934Z 2025-09-07T08:05:03.6223036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6223366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6223671Z return mod(*inputs) 2025-09-07T08:05:03.6223949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6224251Z x = self.forward_features(x) 2025-09-07T08:05:03.6224563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6224887Z x = blk(x, size) 2025-09-07T08:05:03.6225163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6225492Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6225838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6226157Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6226302Z 2025-09-07T08:05:03.6226376Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6226580Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6226784Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6226975Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6227169Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6227389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6227727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6228024Z return mod(*inputs) 2025-09-07T08:05:03.6228308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6228613Z x = self.forward_features(x) 2025-09-07T08:05:03.6228932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6229253Z x = blk(x, size) 2025-09-07T08:05:03.6229517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6229843Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6230169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6230504Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6230655Z 2025-09-07T08:05:03.6230730Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6230981Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6231182Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6231384Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6231573Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6231774Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6231999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6232338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6232645Z return mod(*inputs) 2025-09-07T08:05:03.6232917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6233219Z x = self.forward_features(x) 2025-09-07T08:05:03.6233546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6233858Z x = blk(x, size) 2025-09-07T08:05:03.6234171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6234521Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6234842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6235162Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6235297Z 2025-09-07T08:05:03.6235402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6235733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6236031Z return mod(*inputs) 2025-09-07T08:05:03.6236298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6236596Z x = self.forward_features(x) 2025-09-07T08:05:03.6236905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6237218Z x = blk(x, size) 2025-09-07T08:05:03.6237489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6237819Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6238164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6238476Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6238621Z 2025-09-07T08:05:03.6238697Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6238892Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6239095Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6239285Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6239482Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6239706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6240037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6240337Z return mod(*inputs) 2025-09-07T08:05:03.6240613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6240913Z x = self.forward_features(x) 2025-09-07T08:05:03.6241231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6241546Z x = blk(x, size) 2025-09-07T08:05:03.6241811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6242137Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6242465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6242795Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6242945Z 2025-09-07T08:05:03.6243019Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6243218Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6243411Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6243606Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6243792Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6243987Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6244204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6244539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6244842Z return mod(*inputs) 2025-09-07T08:05:03.6245109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6245406Z x = self.forward_features(x) 2025-09-07T08:05:03.6245723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6246041Z x = blk(x, size) 2025-09-07T08:05:03.6246333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6246675Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6246993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6247309Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6247448Z 2025-09-07T08:05:03.6247549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6247877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6248179Z return mod(*inputs) 2025-09-07T08:05:03.6248457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6248753Z x = self.forward_features(x) 2025-09-07T08:05:03.6249066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6249383Z x = blk(x, size) 2025-09-07T08:05:03.6249658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6249985Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6250328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6250640Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6250787Z 2025-09-07T08:05:03.6250863Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6251064Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6251264Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6251456Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6251654Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6251873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6252206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6252512Z return mod(*inputs) 2025-09-07T08:05:03.6252794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6253096Z x = self.forward_features(x) 2025-09-07T08:05:03.6253416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6253736Z x = blk(x, size) 2025-09-07T08:05:03.6254000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6254328Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6254651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6254984Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6255135Z 2025-09-07T08:05:03.6255210Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6255416Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6255616Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6255815Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6256003Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6256203Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6256427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6256763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6257062Z return mod(*inputs) 2025-09-07T08:05:03.6257332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6257634Z x = self.forward_features(x) 2025-09-07T08:05:03.6257954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6258270Z x = blk(x, size) 2025-09-07T08:05:03.6258563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6258898Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6259222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6259546Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6259684Z 2025-09-07T08:05:03.6259784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6260110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6260410Z return mod(*inputs) 2025-09-07T08:05:03.6260687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6260991Z x = self.forward_features(x) 2025-09-07T08:05:03.6261305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6261619Z x = blk(x, size) 2025-09-07T08:05:03.6261891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6262223Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6262564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6262875Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6263018Z 2025-09-07T08:05:03.6263093Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6263292Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6263494Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6263687Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6263893Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6264115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6264449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6264746Z return mod(*inputs) 2025-09-07T08:05:03.6265026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6265330Z x = self.forward_features(x) 2025-09-07T08:05:03.6265654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6265975Z x = blk(x, size) 2025-09-07T08:05:03.6266244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6266573Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6266906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6267241Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6267392Z 2025-09-07T08:05:03.6267476Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6267672Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6267874Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6268072Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6268271Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6268464Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6268684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6269017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6269322Z return mod(*inputs) 2025-09-07T08:05:03.6269598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6269901Z x = self.forward_features(x) 2025-09-07T08:05:03.6270219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6270537Z x = blk(x, size) 2025-09-07T08:05:03.6270828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6271173Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6271505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6271825Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6271961Z 2025-09-07T08:05:03.6272067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6272395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6272699Z return mod(*inputs) 2025-09-07T08:05:03.6272978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6273282Z x = self.forward_features(x) 2025-09-07T08:05:03.6273593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6273913Z x = blk(x, size) 2025-09-07T08:05:03.6274187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6274515Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6274864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6275173Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6275319Z 2025-09-07T08:05:03.6275393Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6275596Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6275797Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6275987Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6276185Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6276408Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6276746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6277054Z return mod(*inputs) 2025-09-07T08:05:03.6277329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6277634Z x = self.forward_features(x) 2025-09-07T08:05:03.6277954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6278270Z x = blk(x, size) 2025-09-07T08:05:03.6278533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6278858Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6279181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6279513Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6279663Z 2025-09-07T08:05:03.6279747Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6279942Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6280140Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6280341Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6280533Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6280723Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6280945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6281276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6281583Z return mod(*inputs) 2025-09-07T08:05:03.6281854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6282160Z x = self.forward_features(x) 2025-09-07T08:05:03.6282475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6282792Z x = blk(x, size) 2025-09-07T08:05:03.6283097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6283458Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6283779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6284100Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6284239Z 2025-09-07T08:05:03.6284340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6284663Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6284970Z return mod(*inputs) 2025-09-07T08:05:03.6285247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6285550Z x = self.forward_features(x) 2025-09-07T08:05:03.6285871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6286181Z x = blk(x, size) 2025-09-07T08:05:03.6286456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6286788Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6287133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6287452Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6287600Z 2025-09-07T08:05:03.6287677Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6287879Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6288081Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6288274Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6288477Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6288703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6289042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6289351Z return mod(*inputs) 2025-09-07T08:05:03.6289630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6289934Z x = self.forward_features(x) 2025-09-07T08:05:03.6290257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6290578Z x = blk(x, size) 2025-09-07T08:05:03.6290844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6291167Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6291492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6291827Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6291979Z 2025-09-07T08:05:03.6292062Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6292256Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6292457Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6292662Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6292858Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6293051Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6293273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6293613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6293919Z return mod(*inputs) 2025-09-07T08:05:03.6294197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6294507Z x = self.forward_features(x) 2025-09-07T08:05:03.6294827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6295146Z x = blk(x, size) 2025-09-07T08:05:03.6295448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6295765Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6296104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6296421Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6296560Z 2025-09-07T08:05:03.6296664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6296986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6297285Z return mod(*inputs) 2025-09-07T08:05:03.6297558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6297856Z x = self.forward_features(x) 2025-09-07T08:05:03.6298170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6298476Z x = blk(x, size) 2025-09-07T08:05:03.6298749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6299075Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6299418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6299734Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6299884Z 2025-09-07T08:05:03.6299963Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6300171Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6300380Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6300583Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6300777Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6301007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6301354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6301667Z return mod(*inputs) 2025-09-07T08:05:03.6301945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6302261Z x = self.forward_features(x) 2025-09-07T08:05:03.6302595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6302921Z x = blk(x, size) 2025-09-07T08:05:03.6303191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6303527Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6303863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6304204Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6304355Z 2025-09-07T08:05:03.6304443Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6304646Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6304854Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6305060Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6305263Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6305463Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6305691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6306035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6306342Z return mod(*inputs) 2025-09-07T08:05:03.6306621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6306931Z x = self.forward_features(x) 2025-09-07T08:05:03.6307255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6307578Z x = blk(x, size) 2025-09-07T08:05:03.6307885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6308204Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6308546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6308869Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6309007Z 2025-09-07T08:05:03.6309110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6309439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6309746Z return mod(*inputs) 2025-09-07T08:05:03.6310022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6310326Z x = self.forward_features(x) 2025-09-07T08:05:03.6310648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6310957Z x = blk(x, size) 2025-09-07T08:05:03.6311233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6311557Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6311897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6312209Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6312354Z 2025-09-07T08:05:03.6312430Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6312633Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6312833Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6313030Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6313220Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6313443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6313780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6314087Z return mod(*inputs) 2025-09-07T08:05:03.6314363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6314668Z x = self.forward_features(x) 2025-09-07T08:05:03.6314991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6315314Z x = blk(x, size) 2025-09-07T08:05:03.6315584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6315911Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6316237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6316575Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6316729Z 2025-09-07T08:05:03.6316811Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6317005Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6317206Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6317407Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6317601Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6317793Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6318017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6318356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6318662Z return mod(*inputs) 2025-09-07T08:05:03.6318934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6319238Z x = self.forward_features(x) 2025-09-07T08:05:03.6319560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6319878Z x = blk(x, size) 2025-09-07T08:05:03.6320179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6320501Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6320841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6321157Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6321295Z 2025-09-07T08:05:03.6321400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6321726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6322032Z return mod(*inputs) 2025-09-07T08:05:03.6322307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6322612Z x = self.forward_features(x) 2025-09-07T08:05:03.6322927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6323239Z x = blk(x, size) 2025-09-07T08:05:03.6323513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6323843Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6324182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6324493Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6324638Z 2025-09-07T08:05:03.6324715Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6324922Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6325129Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6325323Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6325513Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6325737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6326076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6326387Z return mod(*inputs) 2025-09-07T08:05:03.6326660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6326972Z x = self.forward_features(x) 2025-09-07T08:05:03.6327295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6327619Z x = blk(x, size) 2025-09-07T08:05:03.6327887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6328218Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6328547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6328882Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6329034Z 2025-09-07T08:05:03.6329118Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6329310Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6329514Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6329712Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6329908Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6330099Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6330323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6330661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6331003Z return mod(*inputs) 2025-09-07T08:05:03.6331272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6331572Z x = self.forward_features(x) 2025-09-07T08:05:03.6331892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6332212Z x = blk(x, size) 2025-09-07T08:05:03.6332484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6332862Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6333207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6333525Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6333663Z 2025-09-07T08:05:03.6333768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6334103Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6334403Z return mod(*inputs) 2025-09-07T08:05:03.6334684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6334989Z x = self.forward_features(x) 2025-09-07T08:05:03.6335310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6335623Z x = blk(x, size) 2025-09-07T08:05:03.6335898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6336224Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6336568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6336889Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6337027Z 2025-09-07T08:05:03.6337103Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6337308Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6337507Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6337702Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6337892Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6338114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6338449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6338752Z return mod(*inputs) 2025-09-07T08:05:03.6339027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6339333Z x = self.forward_features(x) 2025-09-07T08:05:03.6339657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6339978Z x = blk(x, size) 2025-09-07T08:05:03.6340249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6340571Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6340900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6341235Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6341385Z 2025-09-07T08:05:03.6341472Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6341667Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6341869Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6342067Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6342266Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6342457Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6342681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6343021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6343327Z return mod(*inputs) 2025-09-07T08:05:03.6343604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6343901Z x = self.forward_features(x) 2025-09-07T08:05:03.6344222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6344541Z x = blk(x, size) 2025-09-07T08:05:03.6344819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6345169Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6345508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6345834Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6345976Z 2025-09-07T08:05:03.6346083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6346427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6346732Z return mod(*inputs) 2025-09-07T08:05:03.6347012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6347319Z x = self.forward_features(x) 2025-09-07T08:05:03.6347639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6347953Z x = blk(x, size) 2025-09-07T08:05:03.6348235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6348568Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6348907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6349222Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6349358Z 2025-09-07T08:05:03.6349434Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6349638Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6349839Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6350033Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6350223Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6350446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6350781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6351088Z return mod(*inputs) 2025-09-07T08:05:03.6351365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6351674Z x = self.forward_features(x) 2025-09-07T08:05:03.6351999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6352322Z x = blk(x, size) 2025-09-07T08:05:03.6352593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6352913Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6353242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6353577Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6353729Z 2025-09-07T08:05:03.6353815Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6354007Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6354212Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6354415Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6354617Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6354809Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6355032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6355369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6355676Z return mod(*inputs) 2025-09-07T08:05:03.6355954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6356251Z x = self.forward_features(x) 2025-09-07T08:05:03.6356577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6356902Z x = blk(x, size) 2025-09-07T08:05:03.6357173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6357527Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6357865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6358185Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6358323Z 2025-09-07T08:05:03.6358428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6358760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6359056Z return mod(*inputs) 2025-09-07T08:05:03.6359240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6359310Z x = self.forward_features(x) 2025-09-07T08:05:03.6359518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6359578Z x = blk(x, size) 2025-09-07T08:05:03.6359754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6359858Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6360048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6360143Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6360147Z 2025-09-07T08:05:03.6360223Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6360298Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6360377Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6360448Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6360530Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6360627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6360811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6360881Z return mod(*inputs) 2025-09-07T08:05:03.6361057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6361133Z x = self.forward_features(x) 2025-09-07T08:05:03.6361335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6361394Z x = blk(x, size) 2025-09-07T08:05:03.6361575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6361667Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6361848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6361952Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6361955Z 2025-09-07T08:05:03.6362034Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362107Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362181Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362263Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362336Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362409Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6362514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6362697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6362767Z return mod(*inputs) 2025-09-07T08:05:03.6362941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6363014Z x = self.forward_features(x) 2025-09-07T08:05:03.6363215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6363275Z x = blk(x, size) 2025-09-07T08:05:03.6363457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6363580Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6363777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6363867Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6363870Z 2025-09-07T08:05:03.6363969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6364161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6364225Z return mod(*inputs) 2025-09-07T08:05:03.6364412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6364483Z x = self.forward_features(x) 2025-09-07T08:05:03.6364685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6364755Z x = blk(x, size) 2025-09-07T08:05:03.6364935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6365041Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6365247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6365333Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6365345Z 2025-09-07T08:05:03.6365420Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6365494Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6365573Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6365649Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6365719Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6365824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6366002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6366072Z return mod(*inputs) 2025-09-07T08:05:03.6366248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6366325Z x = self.forward_features(x) 2025-09-07T08:05:03.6366525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6366584Z x = blk(x, size) 2025-09-07T08:05:03.6366765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6366856Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6367035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6367136Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6367139Z 2025-09-07T08:05:03.6367212Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367293Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367365Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367443Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367514Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367586Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6367691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6367872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6367941Z return mod(*inputs) 2025-09-07T08:05:03.6368115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6368182Z x = self.forward_features(x) 2025-09-07T08:05:03.6368390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6368451Z x = blk(x, size) 2025-09-07T08:05:03.6368629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6368750Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6368937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6369029Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6369032Z 2025-09-07T08:05:03.6369128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6369316Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6369378Z return mod(*inputs) 2025-09-07T08:05:03.6369551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6369625Z x = self.forward_features(x) 2025-09-07T08:05:03.6369825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6369893Z x = blk(x, size) 2025-09-07T08:05:03.6370067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6370167Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6370355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6370438Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6370441Z 2025-09-07T08:05:03.6370523Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6370597Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6370675Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6370749Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6370819Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6370921Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6371101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6371170Z return mod(*inputs) 2025-09-07T08:05:03.6371346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6371416Z x = self.forward_features(x) 2025-09-07T08:05:03.6371627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6371687Z x = blk(x, size) 2025-09-07T08:05:03.6371868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6371959Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6372131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6372239Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6372242Z 2025-09-07T08:05:03.6372316Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372395Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372470Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372543Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372622Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372694Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6372798Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6372978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6373041Z return mod(*inputs) 2025-09-07T08:05:03.6373223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6373291Z x = self.forward_features(x) 2025-09-07T08:05:03.6373500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6373559Z x = blk(x, size) 2025-09-07T08:05:03.6373731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6373857Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6374049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6374148Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6374151Z 2025-09-07T08:05:03.6374247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6374441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6374504Z return mod(*inputs) 2025-09-07T08:05:03.6374678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6374756Z x = self.forward_features(x) 2025-09-07T08:05:03.6374958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6375024Z x = blk(x, size) 2025-09-07T08:05:03.6375201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6375292Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6375486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6375571Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6375575Z 2025-09-07T08:05:03.6375656Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6375732Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6375806Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6375886Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6375959Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6376067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6376249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6376312Z return mod(*inputs) 2025-09-07T08:05:03.6376499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6376569Z x = self.forward_features(x) 2025-09-07T08:05:03.6376781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6376841Z x = blk(x, size) 2025-09-07T08:05:03.6377013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6377113Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6377286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6377395Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6377398Z 2025-09-07T08:05:03.6377470Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377549Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377624Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377699Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377779Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377849Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6377949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6378139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6378204Z return mod(*inputs) 2025-09-07T08:05:03.6378387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6378454Z x = self.forward_features(x) 2025-09-07T08:05:03.6378661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6378720Z x = blk(x, size) 2025-09-07T08:05:03.6378895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6379027Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6379215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6379305Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6379308Z 2025-09-07T08:05:03.6379402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6379579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6379650Z return mod(*inputs) 2025-09-07T08:05:03.6379824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6379899Z x = self.forward_features(x) 2025-09-07T08:05:03.6380099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6380158Z x = blk(x, size) 2025-09-07T08:05:03.6380339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6380431Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6380626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 168, in forward 2025-09-07T08:05:03.6380711Z x = self.sr(x).reshape(B, C, -1).permute(0, 2, 1) 2025-09-07T08:05:03.6380714Z 2025-09-07T08:05:03.6380796Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6380868Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6380939Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6381017Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6381087Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6381181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6381369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6381429Z return mod(*inputs) 2025-09-07T08:05:03.6381611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6381680Z x = self.forward_features(x) 2025-09-07T08:05:03.6381888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6381949Z x = blk(x, size) 2025-09-07T08:05:03.6382120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6382216Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6382388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6382497Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6382500Z 2025-09-07T08:05:03.6382573Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6382643Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6382723Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6382793Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6382873Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6382944Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6383041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6383226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6383289Z return mod(*inputs) 2025-09-07T08:05:03.6383470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6383537Z x = self.forward_features(x) 2025-09-07T08:05:03.6383734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 489, in forward_features 2025-09-07T08:05:03.6383848Z x = x.reshape(B, *size, -1).permute(0, 3, 1, 2).contiguous() 2025-09-07T08:05:03.6383851Z 2025-09-07T08:05:03.6383947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6384157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6384240Z return mod(*inputs) 2025-09-07T08:05:03.6384418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6384495Z x = self.forward_features(x) 2025-09-07T08:05:03.6384694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6384765Z x, size = embed(x) 2025-09-07T08:05:03.6384939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6385024Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6385035Z 2025-09-07T08:05:03.6385129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6385311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6385388Z return mod(*inputs) 2025-09-07T08:05:03.6385563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6385655Z x = self.forward_features(x) 2025-09-07T08:05:03.6385856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 482, in forward_features 2025-09-07T08:05:03.6385917Z x, size = embed(x) 2025-09-07T08:05:03.6386098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 275, in forward 2025-09-07T08:05:03.6386184Z x = self.proj(x).flatten(2).transpose(1, 2) 2025-09-07T08:05:03.6386187Z 2025-09-07T08:05:03.6386269Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6386344Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6386419Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6386500Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6386572Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6386680Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6386863Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6386928Z return mod(*inputs) 2025-09-07T08:05:03.6387110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6387177Z x = self.forward_features(x) 2025-09-07T08:05:03.6387385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6387446Z x = blk(x, size) 2025-09-07T08:05:03.6387620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6387722Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6387897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6388006Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6388010Z 2025-09-07T08:05:03.6388085Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388156Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388239Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388310Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388391Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388461Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6388556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6388746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6388809Z return mod(*inputs) 2025-09-07T08:05:03.6388993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6389061Z x = self.forward_features(x) 2025-09-07T08:05:03.6389288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6389382Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6389558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6389632Z x += cnn_feat_token 2025-09-07T08:05:03.6389635Z 2025-09-07T08:05:03.6389733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6389918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6389980Z return mod(*inputs) 2025-09-07T08:05:03.6390154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6390230Z x = self.forward_features(x) 2025-09-07T08:05:03.6390429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 487, in forward_features 2025-09-07T08:05:03.6390509Z x = pos_blk(x, size) # PEG here 2025-09-07T08:05:03.6390685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 246, in forward 2025-09-07T08:05:03.6390748Z x += cnn_feat_token 2025-09-07T08:05:03.6390764Z 2025-09-07T08:05:03.6390847Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6390919Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6391002Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6391075Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6391145Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6391249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6391427Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6391496Z return mod(*inputs) 2025-09-07T08:05:03.6391671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6391737Z x = self.forward_features(x) 2025-09-07T08:05:03.6391950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6392009Z x = blk(x, size) 2025-09-07T08:05:03.6392191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6392285Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6392458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6392567Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6392570Z 2025-09-07T08:05:03.6392644Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6392722Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6392794Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6392867Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6392944Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393013Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393095Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393171Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393242Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393324Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393396Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6393501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6393688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6393749Z return mod(*inputs) 2025-09-07T08:05:03.6393934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 500, in forward 2025-09-07T08:05:03.6394003Z x = self.forward_features(x) 2025-09-07T08:05:03.6394213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 485, in forward_features 2025-09-07T08:05:03.6394272Z x = blk(x, size) 2025-09-07T08:05:03.6394473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 227, in forward 2025-09-07T08:05:03.6394592Z x = x + self.drop_path1(self.attn(self.norm1(x), size)) 2025-09-07T08:05:03.6394769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 174, in forward 2025-09-07T08:05:03.6394878Z x = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:05:03.6394881Z 2025-09-07T08:05:03.6394956Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395038Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395111Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395181Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395261Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395333Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395403Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6395509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:03.6395693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:03.6395764Z return mod(*inputs) 2025-09-07T08:05:03.6395955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 501, in forward 2025-09-07T08:05:03.6396025Z x = self.forward_head(x) 2025-09-07T08:05:03.6396223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/twins.py", line 495, in forward_head 2025-09-07T08:05:03.6396288Z x = x.mean(dim=1) 2025-09-07T08:05:03.6396291Z 2025-09-07T08:05:03.6396373Z cudagraph partition due to non gpu ops 2025-09-07T08:05:03.6396445Z cudagraph partition due to non gpu ops 2025-09-07T08:05:22.0104375Z pass 2025-09-07T08:05:22.0104842Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:24.3276430Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:05:24.3277372Z import pynvml # type: ignore[import] 2025-09-07T08:05:26.4859693Z 2025-09-07T08:05:26.9748116Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:26.9748473Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:26.9748800Z cpu eval visformer_small 2025-09-07T08:05:27.4453075Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:27.5550730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:27.6632317Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:39.7622998Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7623542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7623901Z return mod(*inputs) 2025-09-07T08:05:39.7624307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7624698Z x = self.forward_features(x) 2025-09-07T08:05:39.7625045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 396, in forward_features 2025-09-07T08:05:39.7625385Z x = self.stem(x) 2025-09-07T08:05:39.7625486Z 2025-09-07T08:05:39.7625595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7625946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7626257Z return mod(*inputs) 2025-09-07T08:05:39.7626559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7626879Z x = self.forward_features(x) 2025-09-07T08:05:39.7627542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 396, in forward_features 2025-09-07T08:05:39.7629315Z x = self.stem(x) 2025-09-07T08:05:39.7629409Z 2025-09-07T08:05:39.7629527Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7629869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7630168Z return mod(*inputs) 2025-09-07T08:05:39.7630469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7630869Z x = self.forward_features(x) 2025-09-07T08:05:39.7631206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 396, in forward_features 2025-09-07T08:05:39.7631536Z x = self.stem(x) 2025-09-07T08:05:39.7631897Z 2025-09-07T08:05:39.7631999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7632346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7632652Z return mod(*inputs) 2025-09-07T08:05:39.7632946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7633320Z x = self.forward_features(x) 2025-09-07T08:05:39.7633660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 399, in forward_features 2025-09-07T08:05:39.7634015Z x = self.patch_embed1(x) 2025-09-07T08:05:39.7634332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7634658Z x = self.proj(x) 2025-09-07T08:05:39.7634763Z 2025-09-07T08:05:39.7634863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7635216Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7635527Z return mod(*inputs) 2025-09-07T08:05:39.7635833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7636160Z x = self.forward_features(x) 2025-09-07T08:05:39.7636505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 399, in forward_features 2025-09-07T08:05:39.7636853Z x = self.patch_embed1(x) 2025-09-07T08:05:39.7637166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7637482Z x = self.proj(x) 2025-09-07T08:05:39.7637584Z 2025-09-07T08:05:39.7637685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7638037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7638337Z return mod(*inputs) 2025-09-07T08:05:39.7638637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7638962Z x = self.forward_features(x) 2025-09-07T08:05:39.7639303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7639643Z x = self.stage1(x) 2025-09-07T08:05:39.7639935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7640276Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7640616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7640934Z x = self.conv1(x) 2025-09-07T08:05:39.7641030Z 2025-09-07T08:05:39.7641135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7641483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7641791Z return mod(*inputs) 2025-09-07T08:05:39.7642095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7642466Z x = self.forward_features(x) 2025-09-07T08:05:39.7642830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7643182Z x = self.stage1(x) 2025-09-07T08:05:39.7643488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7643844Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7644207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7644519Z x = self.act1(x) 2025-09-07T08:05:39.7644626Z 2025-09-07T08:05:39.7644730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7645088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7645417Z return mod(*inputs) 2025-09-07T08:05:39.7645721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7646055Z x = self.forward_features(x) 2025-09-07T08:05:39.7646401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7646762Z x = self.stage1(x) 2025-09-07T08:05:39.7647057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7647399Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7647740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7648055Z x = self.act1(x) 2025-09-07T08:05:39.7648149Z 2025-09-07T08:05:39.7648255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7648588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7648900Z return mod(*inputs) 2025-09-07T08:05:39.7649202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7649522Z x = self.forward_features(x) 2025-09-07T08:05:39.7649866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7650190Z x = self.stage1(x) 2025-09-07T08:05:39.7650485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7650817Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7651153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7651451Z x = self.act2(x) 2025-09-07T08:05:39.7651553Z 2025-09-07T08:05:39.7651656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7652004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7652316Z return mod(*inputs) 2025-09-07T08:05:39.7652614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7652926Z x = self.forward_features(x) 2025-09-07T08:05:39.7653264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7653597Z x = self.stage1(x) 2025-09-07T08:05:39.7653888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7654225Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7654548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7654854Z x = self.act2(x) 2025-09-07T08:05:39.7654946Z 2025-09-07T08:05:39.7655055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7655433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7655753Z return mod(*inputs) 2025-09-07T08:05:39.7656049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7656369Z x = self.forward_features(x) 2025-09-07T08:05:39.7656711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7657048Z x = self.stage1(x) 2025-09-07T08:05:39.7657341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7657676Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7658020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7658332Z x = self.conv3(x) 2025-09-07T08:05:39.7658428Z 2025-09-07T08:05:39.7658529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7658878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7659195Z return mod(*inputs) 2025-09-07T08:05:39.7659516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7659840Z x = self.forward_features(x) 2025-09-07T08:05:39.7660166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7660501Z x = self.stage1(x) 2025-09-07T08:05:39.7660799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7661133Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7661464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7661778Z x = self.conv3(x) 2025-09-07T08:05:39.7661879Z 2025-09-07T08:05:39.7661979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7662327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7662640Z return mod(*inputs) 2025-09-07T08:05:39.7662932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7663253Z x = self.forward_features(x) 2025-09-07T08:05:39.7663590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7663928Z x = self.stage1(x) 2025-09-07T08:05:39.7664213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7664552Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7664889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7665208Z x = self.conv1(x) 2025-09-07T08:05:39.7665304Z 2025-09-07T08:05:39.7665410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7665745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7666056Z return mod(*inputs) 2025-09-07T08:05:39.7666348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7666669Z x = self.forward_features(x) 2025-09-07T08:05:39.7666999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7667332Z x = self.stage1(x) 2025-09-07T08:05:39.7667626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7667959Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7668321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7668648Z x = self.act1(x) 2025-09-07T08:05:39.7668747Z 2025-09-07T08:05:39.7668849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7669195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7669507Z return mod(*inputs) 2025-09-07T08:05:39.7669796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7670118Z x = self.forward_features(x) 2025-09-07T08:05:39.7670454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7670788Z x = self.stage1(x) 2025-09-07T08:05:39.7671085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7671412Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7671749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7672063Z x = self.act1(x) 2025-09-07T08:05:39.7672177Z 2025-09-07T08:05:39.7672285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7672622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7672931Z return mod(*inputs) 2025-09-07T08:05:39.7673229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7673550Z x = self.forward_features(x) 2025-09-07T08:05:39.7673886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7674215Z x = self.stage1(x) 2025-09-07T08:05:39.7674515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7674852Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7675198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7675503Z x = self.act2(x) 2025-09-07T08:05:39.7675606Z 2025-09-07T08:05:39.7675706Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7676050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7676358Z return mod(*inputs) 2025-09-07T08:05:39.7676659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7676970Z x = self.forward_features(x) 2025-09-07T08:05:39.7677307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7677641Z x = self.stage1(x) 2025-09-07T08:05:39.7677940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7678269Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7678608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7678919Z x = self.act2(x) 2025-09-07T08:05:39.7679011Z 2025-09-07T08:05:39.7679119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7679463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7679769Z return mod(*inputs) 2025-09-07T08:05:39.7680066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7680386Z x = self.forward_features(x) 2025-09-07T08:05:39.7680718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7681047Z x = self.stage1(x) 2025-09-07T08:05:39.7681375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7681729Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7682067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7682382Z x = self.conv3(x) 2025-09-07T08:05:39.7682481Z 2025-09-07T08:05:39.7682580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7682928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7683241Z return mod(*inputs) 2025-09-07T08:05:39.7683535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7683853Z x = self.forward_features(x) 2025-09-07T08:05:39.7684189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7684531Z x = self.stage1(x) 2025-09-07T08:05:39.7684828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7685185Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7685509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7685818Z x = self.conv3(x) 2025-09-07T08:05:39.7685920Z 2025-09-07T08:05:39.7686018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7686361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7686665Z return mod(*inputs) 2025-09-07T08:05:39.7686961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7687282Z x = self.forward_features(x) 2025-09-07T08:05:39.7687621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7687956Z x = self.stage1(x) 2025-09-07T08:05:39.7688248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7688589Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7688929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7689238Z x = self.conv1(x) 2025-09-07T08:05:39.7689333Z 2025-09-07T08:05:39.7689431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7689777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7690086Z return mod(*inputs) 2025-09-07T08:05:39.7690379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7690699Z x = self.forward_features(x) 2025-09-07T08:05:39.7691028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7691362Z x = self.stage1(x) 2025-09-07T08:05:39.7691663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7691996Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7692322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7692631Z x = self.act1(x) 2025-09-07T08:05:39.7692735Z 2025-09-07T08:05:39.7692835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7693178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7693493Z return mod(*inputs) 2025-09-07T08:05:39.7693778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7694131Z x = self.forward_features(x) 2025-09-07T08:05:39.7694475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7694825Z x = self.stage1(x) 2025-09-07T08:05:39.7695112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7695448Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7695785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7696094Z x = self.act1(x) 2025-09-07T08:05:39.7696189Z 2025-09-07T08:05:39.7696297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7696629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7696938Z return mod(*inputs) 2025-09-07T08:05:39.7697238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7697566Z x = self.forward_features(x) 2025-09-07T08:05:39.7697894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7698246Z x = self.stage1(x) 2025-09-07T08:05:39.7698539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7698877Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7699214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7699517Z x = self.act2(x) 2025-09-07T08:05:39.7699621Z 2025-09-07T08:05:39.7699722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7700069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7700385Z return mod(*inputs) 2025-09-07T08:05:39.7700677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7701004Z x = self.forward_features(x) 2025-09-07T08:05:39.7701342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7701685Z x = self.stage1(x) 2025-09-07T08:05:39.7701981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7702309Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7702645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7702961Z x = self.act2(x) 2025-09-07T08:05:39.7703056Z 2025-09-07T08:05:39.7703165Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7703509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7703829Z return mod(*inputs) 2025-09-07T08:05:39.7704133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7704464Z x = self.forward_features(x) 2025-09-07T08:05:39.7704804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7705132Z x = self.stage1(x) 2025-09-07T08:05:39.7705421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7705758Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7706101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7706408Z x = self.conv3(x) 2025-09-07T08:05:39.7706511Z 2025-09-07T08:05:39.7706611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7706991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7707321Z return mod(*inputs) 2025-09-07T08:05:39.7707623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7707937Z x = self.forward_features(x) 2025-09-07T08:05:39.7708277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7708619Z x = self.stage1(x) 2025-09-07T08:05:39.7708919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7709252Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7709591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7709901Z x = self.conv3(x) 2025-09-07T08:05:39.7709996Z 2025-09-07T08:05:39.7710105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7710454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7710762Z return mod(*inputs) 2025-09-07T08:05:39.7711062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7711404Z x = self.forward_features(x) 2025-09-07T08:05:39.7711741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7712071Z x = self.stage1(x) 2025-09-07T08:05:39.7712364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7712699Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7712839Z 2025-09-07T08:05:39.7712948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7713295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7713602Z return mod(*inputs) 2025-09-07T08:05:39.7713901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7714227Z x = self.forward_features(x) 2025-09-07T08:05:39.7714563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7714892Z x = self.stage1(x) 2025-09-07T08:05:39.7715186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7715526Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7715865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7716176Z x = self.conv1(x) 2025-09-07T08:05:39.7716275Z 2025-09-07T08:05:39.7716376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7716727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7717042Z return mod(*inputs) 2025-09-07T08:05:39.7717347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7717671Z x = self.forward_features(x) 2025-09-07T08:05:39.7718011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7718349Z x = self.stage1(x) 2025-09-07T08:05:39.7718644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7719039Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7719364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7719674Z x = self.act1(x) 2025-09-07T08:05:39.7719776Z 2025-09-07T08:05:39.7719875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7720267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7720585Z return mod(*inputs) 2025-09-07T08:05:39.7720883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7721204Z x = self.forward_features(x) 2025-09-07T08:05:39.7721541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7721878Z x = self.stage1(x) 2025-09-07T08:05:39.7722164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7722499Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7722878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7723185Z x = self.act1(x) 2025-09-07T08:05:39.7723278Z 2025-09-07T08:05:39.7723380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7723720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7724039Z return mod(*inputs) 2025-09-07T08:05:39.7724331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7724640Z x = self.forward_features(x) 2025-09-07T08:05:39.7724960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7725288Z x = self.stage1(x) 2025-09-07T08:05:39.7725571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7725897Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7726213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7726517Z x = self.act2(x) 2025-09-07T08:05:39.7726620Z 2025-09-07T08:05:39.7726718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7727054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7727358Z return mod(*inputs) 2025-09-07T08:05:39.7727641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7727955Z x = self.forward_features(x) 2025-09-07T08:05:39.7728286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7728613Z x = self.stage1(x) 2025-09-07T08:05:39.7728892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7729218Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7729548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7729856Z x = self.act2(x) 2025-09-07T08:05:39.7729948Z 2025-09-07T08:05:39.7730050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7730387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7730693Z return mod(*inputs) 2025-09-07T08:05:39.7731023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7731333Z x = self.forward_features(x) 2025-09-07T08:05:39.7731649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7731981Z x = self.stage1(x) 2025-09-07T08:05:39.7732270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7732608Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7733592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7733940Z x = self.conv3(x) 2025-09-07T08:05:39.7734043Z 2025-09-07T08:05:39.7734146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7734494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7734807Z return mod(*inputs) 2025-09-07T08:05:39.7735092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7735407Z x = self.forward_features(x) 2025-09-07T08:05:39.7735735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7736070Z x = self.stage1(x) 2025-09-07T08:05:39.7736357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7736682Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7737014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7737324Z x = self.conv3(x) 2025-09-07T08:05:39.7737440Z 2025-09-07T08:05:39.7737546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7737880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7738173Z return mod(*inputs) 2025-09-07T08:05:39.7738458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7738769Z x = self.forward_features(x) 2025-09-07T08:05:39.7739095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7739414Z x = self.stage1(x) 2025-09-07T08:05:39.7739703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7740030Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7740359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7740653Z x = self.conv1(x) 2025-09-07T08:05:39.7740751Z 2025-09-07T08:05:39.7740846Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7741182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7741485Z return mod(*inputs) 2025-09-07T08:05:39.7741776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7742076Z x = self.forward_features(x) 2025-09-07T08:05:39.7742398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7742726Z x = self.stage1(x) 2025-09-07T08:05:39.7743012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7743335Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7743659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7743962Z x = self.act1(x) 2025-09-07T08:05:39.7744053Z 2025-09-07T08:05:39.7744158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7744492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7744792Z return mod(*inputs) 2025-09-07T08:05:39.7745079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7745390Z x = self.forward_features(x) 2025-09-07T08:05:39.7745718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7746047Z x = self.stage1(x) 2025-09-07T08:05:39.7746380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7746722Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7747052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7747356Z x = self.act1(x) 2025-09-07T08:05:39.7747449Z 2025-09-07T08:05:39.7747546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7747886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7748193Z return mod(*inputs) 2025-09-07T08:05:39.7748480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7748792Z x = self.forward_features(x) 2025-09-07T08:05:39.7749115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7749450Z x = self.stage1(x) 2025-09-07T08:05:39.7749745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7750090Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7750413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7750724Z x = self.act2(x) 2025-09-07T08:05:39.7750825Z 2025-09-07T08:05:39.7750922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7751257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7751564Z return mod(*inputs) 2025-09-07T08:05:39.7751847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7752159Z x = self.forward_features(x) 2025-09-07T08:05:39.7752494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7752824Z x = self.stage1(x) 2025-09-07T08:05:39.7753102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7753433Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7753762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7754065Z x = self.act2(x) 2025-09-07T08:05:39.7754155Z 2025-09-07T08:05:39.7754258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7754589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7754892Z return mod(*inputs) 2025-09-07T08:05:39.7755184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7755499Z x = self.forward_features(x) 2025-09-07T08:05:39.7755827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7756157Z x = self.stage1(x) 2025-09-07T08:05:39.7756443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7756775Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7757099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7757399Z x = self.conv3(x) 2025-09-07T08:05:39.7757499Z 2025-09-07T08:05:39.7757595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7757937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7758245Z return mod(*inputs) 2025-09-07T08:05:39.7758523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7758869Z x = self.forward_features(x) 2025-09-07T08:05:39.7759214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7759549Z x = self.stage1(x) 2025-09-07T08:05:39.7759839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7760157Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7760485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7760793Z x = self.conv3(x) 2025-09-07T08:05:39.7760886Z 2025-09-07T08:05:39.7760994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7761324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7761633Z return mod(*inputs) 2025-09-07T08:05:39.7761925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7762240Z x = self.forward_features(x) 2025-09-07T08:05:39.7762569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7762905Z x = self.stage1(x) 2025-09-07T08:05:39.7763190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7763517Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7763845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7764141Z x = self.conv1(x) 2025-09-07T08:05:39.7764240Z 2025-09-07T08:05:39.7764338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7764677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7764979Z return mod(*inputs) 2025-09-07T08:05:39.7765270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7765578Z x = self.forward_features(x) 2025-09-07T08:05:39.7765907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7766233Z x = self.stage1(x) 2025-09-07T08:05:39.7766517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7766837Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7767167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7767473Z x = self.act1(x) 2025-09-07T08:05:39.7767564Z 2025-09-07T08:05:39.7767667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7768003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7768306Z return mod(*inputs) 2025-09-07T08:05:39.7768598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7768912Z x = self.forward_features(x) 2025-09-07T08:05:39.7769239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7769560Z x = self.stage1(x) 2025-09-07T08:05:39.7769843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7770172Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7770500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7770800Z x = self.act1(x) 2025-09-07T08:05:39.7770890Z 2025-09-07T08:05:39.7770987Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7771396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7771717Z return mod(*inputs) 2025-09-07T08:05:39.7772016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7772332Z x = self.forward_features(x) 2025-09-07T08:05:39.7772672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7773008Z x = self.stage1(x) 2025-09-07T08:05:39.7773308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7773644Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7773975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7774287Z x = self.act2(x) 2025-09-07T08:05:39.7774384Z 2025-09-07T08:05:39.7774492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7774840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7775147Z return mod(*inputs) 2025-09-07T08:05:39.7775460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7775771Z x = self.forward_features(x) 2025-09-07T08:05:39.7776101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7776430Z x = self.stage1(x) 2025-09-07T08:05:39.7776712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7777037Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7777364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7777668Z x = self.act2(x) 2025-09-07T08:05:39.7777761Z 2025-09-07T08:05:39.7777860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7778201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7778507Z return mod(*inputs) 2025-09-07T08:05:39.7778798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7779109Z x = self.forward_features(x) 2025-09-07T08:05:39.7779429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7779758Z x = self.stage1(x) 2025-09-07T08:05:39.7780048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7780377Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7780692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7780999Z x = self.conv3(x) 2025-09-07T08:05:39.7781102Z 2025-09-07T08:05:39.7781198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7781530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7781832Z return mod(*inputs) 2025-09-07T08:05:39.7782113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7782426Z x = self.forward_features(x) 2025-09-07T08:05:39.7782751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7783081Z x = self.stage1(x) 2025-09-07T08:05:39.7783359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7783689Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7784044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7784363Z x = self.conv3(x) 2025-09-07T08:05:39.7784453Z 2025-09-07T08:05:39.7784556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7784886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7785188Z return mod(*inputs) 2025-09-07T08:05:39.7785479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7785789Z x = self.forward_features(x) 2025-09-07T08:05:39.7786109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7786436Z x = self.stage1(x) 2025-09-07T08:05:39.7786719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7787043Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7787370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7787667Z x = self.conv1(x) 2025-09-07T08:05:39.7787784Z 2025-09-07T08:05:39.7787881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7788222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7788530Z return mod(*inputs) 2025-09-07T08:05:39.7788818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7789137Z x = self.forward_features(x) 2025-09-07T08:05:39.7789477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7789811Z x = self.stage1(x) 2025-09-07T08:05:39.7790101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7790425Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7790753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7791058Z x = self.act1(x) 2025-09-07T08:05:39.7791151Z 2025-09-07T08:05:39.7791256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7791588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7791894Z return mod(*inputs) 2025-09-07T08:05:39.7792181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7792495Z x = self.forward_features(x) 2025-09-07T08:05:39.7792824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7793147Z x = self.stage1(x) 2025-09-07T08:05:39.7793436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7793761Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7794090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7794384Z x = self.act1(x) 2025-09-07T08:05:39.7794483Z 2025-09-07T08:05:39.7794579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7794921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7795223Z return mod(*inputs) 2025-09-07T08:05:39.7795514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7795818Z x = self.forward_features(x) 2025-09-07T08:05:39.7796144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7796473Z x = self.stage1(x) 2025-09-07T08:05:39.7796791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7797129Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7797460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7797767Z x = self.act2(x) 2025-09-07T08:05:39.7797859Z 2025-09-07T08:05:39.7797965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7798305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7798605Z return mod(*inputs) 2025-09-07T08:05:39.7798898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7799223Z x = self.forward_features(x) 2025-09-07T08:05:39.7799550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7799880Z x = self.stage1(x) 2025-09-07T08:05:39.7800168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7800498Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7800839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 67, in forward 2025-09-07T08:05:39.7801145Z x = self.act2(x) 2025-09-07T08:05:39.7801238Z 2025-09-07T08:05:39.7801334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7801674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7801984Z return mod(*inputs) 2025-09-07T08:05:39.7802276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7802586Z x = self.forward_features(x) 2025-09-07T08:05:39.7802921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7803260Z x = self.stage1(x) 2025-09-07T08:05:39.7803549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7803882Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7804206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7804512Z x = self.conv3(x) 2025-09-07T08:05:39.7804611Z 2025-09-07T08:05:39.7804708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7807366Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7807693Z return mod(*inputs) 2025-09-07T08:05:39.7807992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7808314Z x = self.forward_features(x) 2025-09-07T08:05:39.7808648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 405, in forward_features 2025-09-07T08:05:39.7808979Z x = self.stage1(x) 2025-09-07T08:05:39.7809271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7809603Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7809934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7810241Z x = self.conv3(x) 2025-09-07T08:05:39.7810334Z 2025-09-07T08:05:39.7810430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7810803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7811109Z return mod(*inputs) 2025-09-07T08:05:39.7811393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7811730Z x = self.forward_features(x) 2025-09-07T08:05:39.7812060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 409, in forward_features 2025-09-07T08:05:39.7812421Z x = self.patch_embed2(x) 2025-09-07T08:05:39.7812727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7813032Z x = self.proj(x) 2025-09-07T08:05:39.7813132Z 2025-09-07T08:05:39.7813228Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7813564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7813867Z return mod(*inputs) 2025-09-07T08:05:39.7814150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7814467Z x = self.forward_features(x) 2025-09-07T08:05:39.7814794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 409, in forward_features 2025-09-07T08:05:39.7815128Z x = self.patch_embed2(x) 2025-09-07T08:05:39.7815439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7815779Z x = self.proj(x) 2025-09-07T08:05:39.7815879Z 2025-09-07T08:05:39.7815975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7816315Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7816621Z return mod(*inputs) 2025-09-07T08:05:39.7816908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7817227Z x = self.forward_features(x) 2025-09-07T08:05:39.7817563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 409, in forward_features 2025-09-07T08:05:39.7817904Z x = self.patch_embed2(x) 2025-09-07T08:05:39.7818219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7818524Z x = self.proj(x) 2025-09-07T08:05:39.7818624Z 2025-09-07T08:05:39.7818722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7819062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7819364Z return mod(*inputs) 2025-09-07T08:05:39.7819646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7819963Z x = self.forward_features(x) 2025-09-07T08:05:39.7820351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7820685Z x = self.stage2(x) 2025-09-07T08:05:39.7820979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7821307Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7821643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7822048Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7822248Z 2025-09-07T08:05:39.7822359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7822692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7822995Z return mod(*inputs) 2025-09-07T08:05:39.7823293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7823615Z x = self.forward_features(x) 2025-09-07T08:05:39.7823949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7824269Z x = self.stage2(x) 2025-09-07T08:05:39.7824573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7824922Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7825252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7825632Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7825831Z 2025-09-07T08:05:39.7825931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7826268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7826569Z return mod(*inputs) 2025-09-07T08:05:39.7826862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7827167Z x = self.forward_features(x) 2025-09-07T08:05:39.7827494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7827825Z x = self.stage2(x) 2025-09-07T08:05:39.7828113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7828458Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7828776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7829156Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7829352Z 2025-09-07T08:05:39.7829450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7829792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7830088Z return mod(*inputs) 2025-09-07T08:05:39.7830380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7830693Z x = self.forward_features(x) 2025-09-07T08:05:39.7831070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7831402Z x = self.stage2(x) 2025-09-07T08:05:39.7831687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7832023Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7832358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7832702Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7832842Z 2025-09-07T08:05:39.7833005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7833339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7833649Z return mod(*inputs) 2025-09-07T08:05:39.7833944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7834265Z x = self.forward_features(x) 2025-09-07T08:05:39.7834589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7834919Z x = self.stage2(x) 2025-09-07T08:05:39.7835211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7835547Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7835870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7836208Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7836351Z 2025-09-07T08:05:39.7836454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7836796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7837104Z return mod(*inputs) 2025-09-07T08:05:39.7837411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7837750Z x = self.forward_features(x) 2025-09-07T08:05:39.7838083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7838413Z x = self.stage2(x) 2025-09-07T08:05:39.7838702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7839031Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7839366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7839675Z x = attn @ v 2025-09-07T08:05:39.7839766Z 2025-09-07T08:05:39.7839870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7840204Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7840514Z return mod(*inputs) 2025-09-07T08:05:39.7840807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7841152Z x = self.forward_features(x) 2025-09-07T08:05:39.7841474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7841794Z x = self.stage2(x) 2025-09-07T08:05:39.7842081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7842409Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7842736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7843059Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7843200Z 2025-09-07T08:05:39.7843297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7843631Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7843936Z return mod(*inputs) 2025-09-07T08:05:39.7844227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7844532Z x = self.forward_features(x) 2025-09-07T08:05:39.7844861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7845191Z x = self.stage2(x) 2025-09-07T08:05:39.7845477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7845819Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7846149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7846461Z x = attn @ v 2025-09-07T08:05:39.7846552Z 2025-09-07T08:05:39.7846661Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7847000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7847299Z return mod(*inputs) 2025-09-07T08:05:39.7847590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7847900Z x = self.forward_features(x) 2025-09-07T08:05:39.7848231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7848572Z x = self.stage2(x) 2025-09-07T08:05:39.7848854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7849184Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7849512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.7849859Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.7849997Z 2025-09-07T08:05:39.7850096Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.7850331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7850667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7850972Z return mod(*inputs) 2025-09-07T08:05:39.7851259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7851569Z x = self.forward_features(x) 2025-09-07T08:05:39.7851900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7852227Z x = self.stage2(x) 2025-09-07T08:05:39.7852511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7852832Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7853162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7853467Z x = self.proj(x) 2025-09-07T08:05:39.7853562Z 2025-09-07T08:05:39.7853684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7854019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7854315Z return mod(*inputs) 2025-09-07T08:05:39.7854603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7854912Z x = self.forward_features(x) 2025-09-07T08:05:39.7855233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7855550Z x = self.stage2(x) 2025-09-07T08:05:39.7855839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7856167Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7856495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7856798Z x = self.proj(x) 2025-09-07T08:05:39.7856888Z 2025-09-07T08:05:39.7856982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7857313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7857612Z return mod(*inputs) 2025-09-07T08:05:39.7857901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7858203Z x = self.forward_features(x) 2025-09-07T08:05:39.7858551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7858876Z x = self.stage2(x) 2025-09-07T08:05:39.7859164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7859492Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7859813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7860118Z x = self.conv1(x) 2025-09-07T08:05:39.7860211Z 2025-09-07T08:05:39.7860318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7860655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7860953Z return mod(*inputs) 2025-09-07T08:05:39.7861245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7861557Z x = self.forward_features(x) 2025-09-07T08:05:39.7861889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7862218Z x = self.stage2(x) 2025-09-07T08:05:39.7862515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7862874Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7863205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7863510Z x = self.act1(x) 2025-09-07T08:05:39.7863601Z 2025-09-07T08:05:39.7863695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7864036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7864341Z return mod(*inputs) 2025-09-07T08:05:39.7864631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7864943Z x = self.forward_features(x) 2025-09-07T08:05:39.7865265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7865600Z x = self.stage2(x) 2025-09-07T08:05:39.7865888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7866221Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7866556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7866863Z x = self.act1(x) 2025-09-07T08:05:39.7866960Z 2025-09-07T08:05:39.7867059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7867395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7867699Z return mod(*inputs) 2025-09-07T08:05:39.7867982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7868298Z x = self.forward_features(x) 2025-09-07T08:05:39.7868626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7868960Z x = self.stage2(x) 2025-09-07T08:05:39.7869238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7869567Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7869894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7870198Z x = self.conv3(x) 2025-09-07T08:05:39.7870290Z 2025-09-07T08:05:39.7870396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7870728Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7871055Z return mod(*inputs) 2025-09-07T08:05:39.7871348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7871656Z x = self.forward_features(x) 2025-09-07T08:05:39.7871976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7872308Z x = self.stage2(x) 2025-09-07T08:05:39.7872594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7872923Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7873249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7873543Z x = self.conv3(x) 2025-09-07T08:05:39.7873644Z 2025-09-07T08:05:39.7873740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7874079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7874384Z return mod(*inputs) 2025-09-07T08:05:39.7874664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7874990Z x = self.forward_features(x) 2025-09-07T08:05:39.7875321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7875672Z x = self.stage2(x) 2025-09-07T08:05:39.7875960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7876280Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7876606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7876998Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7877190Z 2025-09-07T08:05:39.7877300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7877632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7877937Z return mod(*inputs) 2025-09-07T08:05:39.7878232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7878547Z x = self.forward_features(x) 2025-09-07T08:05:39.7878875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7879220Z x = self.stage2(x) 2025-09-07T08:05:39.7879509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7879846Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7880174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7880566Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7880755Z 2025-09-07T08:05:39.7880852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7881186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7881491Z return mod(*inputs) 2025-09-07T08:05:39.7881787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7882101Z x = self.forward_features(x) 2025-09-07T08:05:39.7882431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7882762Z x = self.stage2(x) 2025-09-07T08:05:39.7883049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7883381Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7883722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7884102Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7884300Z 2025-09-07T08:05:39.7884401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7884741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7885039Z return mod(*inputs) 2025-09-07T08:05:39.7885333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7885645Z x = self.forward_features(x) 2025-09-07T08:05:39.7885978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7886306Z x = self.stage2(x) 2025-09-07T08:05:39.7886588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7886921Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7887246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7887601Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7887747Z 2025-09-07T08:05:39.7887852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7888186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7888492Z return mod(*inputs) 2025-09-07T08:05:39.7888786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7889099Z x = self.forward_features(x) 2025-09-07T08:05:39.7889422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7889751Z x = self.stage2(x) 2025-09-07T08:05:39.7890042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7890371Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7890702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7891024Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7891166Z 2025-09-07T08:05:39.7891280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7891622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7891930Z return mod(*inputs) 2025-09-07T08:05:39.7892216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7892529Z x = self.forward_features(x) 2025-09-07T08:05:39.7892863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7893193Z x = self.stage2(x) 2025-09-07T08:05:39.7893481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7893806Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7894139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7894442Z x = attn @ v 2025-09-07T08:05:39.7894533Z 2025-09-07T08:05:39.7894641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7894972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7895279Z return mod(*inputs) 2025-09-07T08:05:39.7895574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7895888Z x = self.forward_features(x) 2025-09-07T08:05:39.7896238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7896564Z x = self.stage2(x) 2025-09-07T08:05:39.7896857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7897190Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7897522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7897847Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7897991Z 2025-09-07T08:05:39.7898089Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7898426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7898732Z return mod(*inputs) 2025-09-07T08:05:39.7899023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7899331Z x = self.forward_features(x) 2025-09-07T08:05:39.7899659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7899989Z x = self.stage2(x) 2025-09-07T08:05:39.7900294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7900635Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7900964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7901266Z x = attn @ v 2025-09-07T08:05:39.7901355Z 2025-09-07T08:05:39.7901459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7901799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7902095Z return mod(*inputs) 2025-09-07T08:05:39.7902390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7902699Z x = self.forward_features(x) 2025-09-07T08:05:39.7903025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7903349Z x = self.stage2(x) 2025-09-07T08:05:39.7903641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7903973Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7904319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.7904649Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.7904783Z 2025-09-07T08:05:39.7904864Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.7905096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7905440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7905749Z return mod(*inputs) 2025-09-07T08:05:39.7906031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7906342Z x = self.forward_features(x) 2025-09-07T08:05:39.7906668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7906996Z x = self.stage2(x) 2025-09-07T08:05:39.7907280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7907600Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7907931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7908236Z x = self.proj(x) 2025-09-07T08:05:39.7908330Z 2025-09-07T08:05:39.7908434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7908774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7909077Z return mod(*inputs) 2025-09-07T08:05:39.7909370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7909683Z x = self.forward_features(x) 2025-09-07T08:05:39.7910013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7910339Z x = self.stage2(x) 2025-09-07T08:05:39.7910627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7910955Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7911281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7911577Z x = self.proj(x) 2025-09-07T08:05:39.7911679Z 2025-09-07T08:05:39.7911781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7912115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7912422Z return mod(*inputs) 2025-09-07T08:05:39.7912746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7913067Z x = self.forward_features(x) 2025-09-07T08:05:39.7913393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7913720Z x = self.stage2(x) 2025-09-07T08:05:39.7914007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7914329Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7914472Z 2025-09-07T08:05:39.7914569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7914903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7915206Z return mod(*inputs) 2025-09-07T08:05:39.7915497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7915802Z x = self.forward_features(x) 2025-09-07T08:05:39.7916132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7916459Z x = self.stage2(x) 2025-09-07T08:05:39.7916755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7917073Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7917398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7917702Z x = self.conv1(x) 2025-09-07T08:05:39.7917796Z 2025-09-07T08:05:39.7917906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7918244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7918541Z return mod(*inputs) 2025-09-07T08:05:39.7918830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7919145Z x = self.forward_features(x) 2025-09-07T08:05:39.7919473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7919795Z x = self.stage2(x) 2025-09-07T08:05:39.7920079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7920408Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7920733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7921031Z x = self.act1(x) 2025-09-07T08:05:39.7921121Z 2025-09-07T08:05:39.7921241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7921576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7921877Z return mod(*inputs) 2025-09-07T08:05:39.7922166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7922470Z x = self.forward_features(x) 2025-09-07T08:05:39.7922797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7923128Z x = self.stage2(x) 2025-09-07T08:05:39.7923414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7923742Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7924061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7924367Z x = self.act1(x) 2025-09-07T08:05:39.7924464Z 2025-09-07T08:05:39.7924562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7924895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7925196Z return mod(*inputs) 2025-09-07T08:05:39.7925487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7925817Z x = self.forward_features(x) 2025-09-07T08:05:39.7926143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7926470Z x = self.stage2(x) 2025-09-07T08:05:39.7926745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7927073Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7927398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7927701Z x = self.conv3(x) 2025-09-07T08:05:39.7927792Z 2025-09-07T08:05:39.7927899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7928227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7928534Z return mod(*inputs) 2025-09-07T08:05:39.7928832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7929165Z x = self.forward_features(x) 2025-09-07T08:05:39.7929490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7929818Z x = self.stage2(x) 2025-09-07T08:05:39.7930104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7930428Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7930751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7931109Z x = self.conv3(x) 2025-09-07T08:05:39.7931210Z 2025-09-07T08:05:39.7931309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7931669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7931976Z return mod(*inputs) 2025-09-07T08:05:39.7932262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7932585Z x = self.forward_features(x) 2025-09-07T08:05:39.7932924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7933273Z x = self.stage2(x) 2025-09-07T08:05:39.7933565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7933953Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7934293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7934693Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7934891Z 2025-09-07T08:05:39.7935000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7935339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7935651Z return mod(*inputs) 2025-09-07T08:05:39.7935946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7936267Z x = self.forward_features(x) 2025-09-07T08:05:39.7936603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7936936Z x = self.stage2(x) 2025-09-07T08:05:39.7937235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7937575Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7937911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7938322Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7938553Z 2025-09-07T08:05:39.7938653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7939003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7939314Z return mod(*inputs) 2025-09-07T08:05:39.7939610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7939921Z x = self.forward_features(x) 2025-09-07T08:05:39.7940257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7940593Z x = self.stage2(x) 2025-09-07T08:05:39.7940886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7941216Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7941555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7941945Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7942171Z 2025-09-07T08:05:39.7942272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7942621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7942923Z return mod(*inputs) 2025-09-07T08:05:39.7943222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7943545Z x = self.forward_features(x) 2025-09-07T08:05:39.7943881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7944219Z x = self.stage2(x) 2025-09-07T08:05:39.7944510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7944859Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7945189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7945523Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7945658Z 2025-09-07T08:05:39.7945755Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7946092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7946396Z return mod(*inputs) 2025-09-07T08:05:39.7946704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7946775Z x = self.forward_features(x) 2025-09-07T08:05:39.7946998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7947062Z x = self.stage2(x) 2025-09-07T08:05:39.7947254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7947349Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7947536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7947630Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7947633Z 2025-09-07T08:05:39.7947930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7948121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7948184Z return mod(*inputs) 2025-09-07T08:05:39.7948373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7948450Z x = self.forward_features(x) 2025-09-07T08:05:39.7948677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7948767Z x = self.stage2(x) 2025-09-07T08:05:39.7948959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7949050Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7949247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7949308Z x = attn @ v 2025-09-07T08:05:39.7949311Z 2025-09-07T08:05:39.7949417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7949601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7949666Z return mod(*inputs) 2025-09-07T08:05:39.7949865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7949933Z x = self.forward_features(x) 2025-09-07T08:05:39.7950154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7950217Z x = self.stage2(x) 2025-09-07T08:05:39.7950412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7950505Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7950690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7950781Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7950784Z 2025-09-07T08:05:39.7950879Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7951068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7951133Z return mod(*inputs) 2025-09-07T08:05:39.7951314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7951394Z x = self.forward_features(x) 2025-09-07T08:05:39.7951599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7951671Z x = self.stage2(x) 2025-09-07T08:05:39.7951855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7951939Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7952135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7952196Z x = attn @ v 2025-09-07T08:05:39.7952199Z 2025-09-07T08:05:39.7952328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7952511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7952576Z return mod(*inputs) 2025-09-07T08:05:39.7952773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7952846Z x = self.forward_features(x) 2025-09-07T08:05:39.7953062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7953126Z x = self.stage2(x) 2025-09-07T08:05:39.7953320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7953408Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7953594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.7953692Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.7953695Z 2025-09-07T08:05:39.7953778Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.7953882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7954082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7954159Z return mod(*inputs) 2025-09-07T08:05:39.7954353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7954421Z x = self.forward_features(x) 2025-09-07T08:05:39.7954637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7954698Z x = self.stage2(x) 2025-09-07T08:05:39.7954882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7954971Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7955157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7955226Z x = self.proj(x) 2025-09-07T08:05:39.7955229Z 2025-09-07T08:05:39.7955323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7955505Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7955577Z return mod(*inputs) 2025-09-07T08:05:39.7955797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7955870Z x = self.forward_features(x) 2025-09-07T08:05:39.7956077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7956149Z x = self.stage2(x) 2025-09-07T08:05:39.7956333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7956421Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7956614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7956676Z x = self.proj(x) 2025-09-07T08:05:39.7956680Z 2025-09-07T08:05:39.7956785Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7956967Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7957030Z return mod(*inputs) 2025-09-07T08:05:39.7957221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7957288Z x = self.forward_features(x) 2025-09-07T08:05:39.7957503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7957564Z x = self.stage2(x) 2025-09-07T08:05:39.7957763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7957860Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7958050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.7958120Z x = self.conv1(x) 2025-09-07T08:05:39.7958125Z 2025-09-07T08:05:39.7958222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7958410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7958476Z return mod(*inputs) 2025-09-07T08:05:39.7958659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7958738Z x = self.forward_features(x) 2025-09-07T08:05:39.7958945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7959017Z x = self.stage2(x) 2025-09-07T08:05:39.7959204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7959289Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7959499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7959561Z x = self.act1(x) 2025-09-07T08:05:39.7959579Z 2025-09-07T08:05:39.7959695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7959876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7959939Z return mod(*inputs) 2025-09-07T08:05:39.7960131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7960197Z x = self.forward_features(x) 2025-09-07T08:05:39.7960415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7960478Z x = self.stage2(x) 2025-09-07T08:05:39.7960660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7960751Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7960937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7961007Z x = self.act1(x) 2025-09-07T08:05:39.7961010Z 2025-09-07T08:05:39.7961124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7961308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7961370Z return mod(*inputs) 2025-09-07T08:05:39.7961554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7961629Z x = self.forward_features(x) 2025-09-07T08:05:39.7961836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7961906Z x = self.stage2(x) 2025-09-07T08:05:39.7962086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7962169Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7962359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7962421Z x = self.conv3(x) 2025-09-07T08:05:39.7962425Z 2025-09-07T08:05:39.7962530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7962707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7962768Z return mod(*inputs) 2025-09-07T08:05:39.7962960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7963025Z x = self.forward_features(x) 2025-09-07T08:05:39.7963253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7963316Z x = self.stage2(x) 2025-09-07T08:05:39.7963502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7963593Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7963775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7963843Z x = self.conv3(x) 2025-09-07T08:05:39.7963846Z 2025-09-07T08:05:39.7963942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7964131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7964192Z return mod(*inputs) 2025-09-07T08:05:39.7964379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7964456Z x = self.forward_features(x) 2025-09-07T08:05:39.7964663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7964731Z x = self.stage2(x) 2025-09-07T08:05:39.7964933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7965035Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7965232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7965374Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7965377Z 2025-09-07T08:05:39.7965483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7965665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7965726Z return mod(*inputs) 2025-09-07T08:05:39.7965921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7965990Z x = self.forward_features(x) 2025-09-07T08:05:39.7966205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7966269Z x = self.stage2(x) 2025-09-07T08:05:39.7966463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7966565Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7966751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7966900Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7966903Z 2025-09-07T08:05:39.7967000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7967199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7967261Z return mod(*inputs) 2025-09-07T08:05:39.7967445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7967522Z x = self.forward_features(x) 2025-09-07T08:05:39.7967733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7967805Z x = self.stage2(x) 2025-09-07T08:05:39.7967991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7968075Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7968271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7968408Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7968411Z 2025-09-07T08:05:39.7968531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7968715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7968785Z return mod(*inputs) 2025-09-07T08:05:39.7968972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7969041Z x = self.forward_features(x) 2025-09-07T08:05:39.7969262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7969325Z x = self.stage2(x) 2025-09-07T08:05:39.7969516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7969601Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7969789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7969882Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7969885Z 2025-09-07T08:05:39.7969979Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7970166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7970245Z return mod(*inputs) 2025-09-07T08:05:39.7970442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7970519Z x = self.forward_features(x) 2025-09-07T08:05:39.7970727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7970795Z x = self.stage2(x) 2025-09-07T08:05:39.7970978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7971071Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7971259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7971343Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7971347Z 2025-09-07T08:05:39.7971453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7971637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7971709Z return mod(*inputs) 2025-09-07T08:05:39.7971902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7971994Z x = self.forward_features(x) 2025-09-07T08:05:39.7972215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7972275Z x = self.stage2(x) 2025-09-07T08:05:39.7972471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7972556Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7972744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7972810Z x = attn @ v 2025-09-07T08:05:39.7972814Z 2025-09-07T08:05:39.7972911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7973101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7973164Z return mod(*inputs) 2025-09-07T08:05:39.7973361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7973429Z x = self.forward_features(x) 2025-09-07T08:05:39.7973642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7973712Z x = self.stage2(x) 2025-09-07T08:05:39.7973919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7974012Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7974204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7974283Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7974288Z 2025-09-07T08:05:39.7974397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7974582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7974653Z return mod(*inputs) 2025-09-07T08:05:39.7974842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7974907Z x = self.forward_features(x) 2025-09-07T08:05:39.7975124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7975187Z x = self.stage2(x) 2025-09-07T08:05:39.7975379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7975460Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7975662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7975732Z x = attn @ v 2025-09-07T08:05:39.7975755Z 2025-09-07T08:05:39.7975852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7976046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7976107Z return mod(*inputs) 2025-09-07T08:05:39.7976302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7976369Z x = self.forward_features(x) 2025-09-07T08:05:39.7976576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7976646Z x = self.stage2(x) 2025-09-07T08:05:39.7976834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7976928Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7977112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.7977198Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.7977214Z 2025-09-07T08:05:39.7977300Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.7977398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7977586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7977648Z return mod(*inputs) 2025-09-07T08:05:39.7977832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7977905Z x = self.forward_features(x) 2025-09-07T08:05:39.7978111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7978179Z x = self.stage2(x) 2025-09-07T08:05:39.7978366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7978450Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7978644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7978706Z x = self.proj(x) 2025-09-07T08:05:39.7978709Z 2025-09-07T08:05:39.7978811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7978992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7979061Z return mod(*inputs) 2025-09-07T08:05:39.7979247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7979347Z x = self.forward_features(x) 2025-09-07T08:05:39.7979563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7979622Z x = self.stage2(x) 2025-09-07T08:05:39.7979813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7979896Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7980084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.7980153Z x = self.proj(x) 2025-09-07T08:05:39.7980156Z 2025-09-07T08:05:39.7980251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7980441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7980504Z return mod(*inputs) 2025-09-07T08:05:39.7980690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7980766Z x = self.forward_features(x) 2025-09-07T08:05:39.7980976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7981060Z x = self.stage2(x) 2025-09-07T08:05:39.7981244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7981345Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7981537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7981596Z x = self.act1(x) 2025-09-07T08:05:39.7981599Z 2025-09-07T08:05:39.7981702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7981887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7981956Z return mod(*inputs) 2025-09-07T08:05:39.7982146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7982213Z x = self.forward_features(x) 2025-09-07T08:05:39.7982434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7982498Z x = self.stage2(x) 2025-09-07T08:05:39.7982696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7982797Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7982980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.7983049Z x = self.act1(x) 2025-09-07T08:05:39.7983052Z 2025-09-07T08:05:39.7983151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7983341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7983403Z return mod(*inputs) 2025-09-07T08:05:39.7983589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7983663Z x = self.forward_features(x) 2025-09-07T08:05:39.7983872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7983942Z x = self.stage2(x) 2025-09-07T08:05:39.7984126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7984212Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7984403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7984464Z x = self.conv3(x) 2025-09-07T08:05:39.7984467Z 2025-09-07T08:05:39.7984569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7984765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7984834Z return mod(*inputs) 2025-09-07T08:05:39.7985020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7985091Z x = self.forward_features(x) 2025-09-07T08:05:39.7985307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 415, in forward_features 2025-09-07T08:05:39.7985371Z x = self.stage2(x) 2025-09-07T08:05:39.7985563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.7985643Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.7985824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.7985894Z x = self.conv3(x) 2025-09-07T08:05:39.7985897Z 2025-09-07T08:05:39.7985995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7986185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7986249Z return mod(*inputs) 2025-09-07T08:05:39.7986450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7986542Z x = self.forward_features(x) 2025-09-07T08:05:39.7986752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 419, in forward_features 2025-09-07T08:05:39.7986832Z x = self.patch_embed3(x) 2025-09-07T08:05:39.7987026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7987095Z x = self.proj(x) 2025-09-07T08:05:39.7987098Z 2025-09-07T08:05:39.7987196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7987380Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7987453Z return mod(*inputs) 2025-09-07T08:05:39.7987643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7987716Z x = self.forward_features(x) 2025-09-07T08:05:39.7987929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 419, in forward_features 2025-09-07T08:05:39.7988000Z x = self.patch_embed3(x) 2025-09-07T08:05:39.7988207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7988284Z x = self.proj(x) 2025-09-07T08:05:39.7988286Z 2025-09-07T08:05:39.7988389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7988574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7988634Z return mod(*inputs) 2025-09-07T08:05:39.7988840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7988907Z x = self.forward_features(x) 2025-09-07T08:05:39.7989127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 419, in forward_features 2025-09-07T08:05:39.7989195Z x = self.patch_embed3(x) 2025-09-07T08:05:39.7989393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:05:39.7989464Z x = self.proj(x) 2025-09-07T08:05:39.7989468Z 2025-09-07T08:05:39.7989565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7989759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7989819Z return mod(*inputs) 2025-09-07T08:05:39.7990018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7990084Z x = self.forward_features(x) 2025-09-07T08:05:39.7990311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7990380Z x = self.stage3(x) 2025-09-07T08:05:39.7990564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7990658Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7990842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7990985Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7990988Z 2025-09-07T08:05:39.7991094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7991277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7991346Z return mod(*inputs) 2025-09-07T08:05:39.7991536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7991602Z x = self.forward_features(x) 2025-09-07T08:05:39.7991817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7991877Z x = self.stage3(x) 2025-09-07T08:05:39.7992087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7992196Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7992388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7992527Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7992530Z 2025-09-07T08:05:39.7992625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7992819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7992883Z return mod(*inputs) 2025-09-07T08:05:39.7993077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7993143Z x = self.forward_features(x) 2025-09-07T08:05:39.7993350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7993424Z x = self.stage3(x) 2025-09-07T08:05:39.7993612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7993721Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7993906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.7994045Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.7994056Z 2025-09-07T08:05:39.7994153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7994334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7994405Z return mod(*inputs) 2025-09-07T08:05:39.7994589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7994664Z x = self.forward_features(x) 2025-09-07T08:05:39.7994873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7994936Z x = self.stage3(x) 2025-09-07T08:05:39.7995128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7995212Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7995407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7995492Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7995510Z 2025-09-07T08:05:39.7995606Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7995795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7995858Z return mod(*inputs) 2025-09-07T08:05:39.7996057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7996126Z x = self.forward_features(x) 2025-09-07T08:05:39.7996336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7996405Z x = self.stage3(x) 2025-09-07T08:05:39.7996593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7996688Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7996874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7996963Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7996967Z 2025-09-07T08:05:39.7997061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7997259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7997331Z return mod(*inputs) 2025-09-07T08:05:39.7997532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7997610Z x = self.forward_features(x) 2025-09-07T08:05:39.7997818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7997881Z x = self.stage3(x) 2025-09-07T08:05:39.7998073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7998156Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7998349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.7998408Z x = attn @ v 2025-09-07T08:05:39.7998411Z 2025-09-07T08:05:39.7998507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.7998697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.7998760Z return mod(*inputs) 2025-09-07T08:05:39.7998949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.7999032Z x = self.forward_features(x) 2025-09-07T08:05:39.7999238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.7999310Z x = self.stage3(x) 2025-09-07T08:05:39.7999493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.7999588Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.7999776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.7999868Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.7999871Z 2025-09-07T08:05:39.7999968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8000156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8000229Z return mod(*inputs) 2025-09-07T08:05:39.8000415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8000492Z x = self.forward_features(x) 2025-09-07T08:05:39.8000699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8000760Z x = self.stage3(x) 2025-09-07T08:05:39.8000967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8001051Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8001244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8001304Z x = attn @ v 2025-09-07T08:05:39.8001308Z 2025-09-07T08:05:39.8001405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8001592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8001655Z return mod(*inputs) 2025-09-07T08:05:39.8001846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8001913Z x = self.forward_features(x) 2025-09-07T08:05:39.8002126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8002187Z x = self.stage3(x) 2025-09-07T08:05:39.8002370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8002460Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8002658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.8002752Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.8002770Z 2025-09-07T08:05:39.8002849Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8002945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8003134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8003195Z return mod(*inputs) 2025-09-07T08:05:39.8003386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8003453Z x = self.forward_features(x) 2025-09-07T08:05:39.8003663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8003731Z x = self.stage3(x) 2025-09-07T08:05:39.8003915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8004006Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8004194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8004272Z x = self.proj(x) 2025-09-07T08:05:39.8004284Z 2025-09-07T08:05:39.8004381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8004561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8004633Z return mod(*inputs) 2025-09-07T08:05:39.8004819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8004893Z x = self.forward_features(x) 2025-09-07T08:05:39.8005101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8005161Z x = self.stage3(x) 2025-09-07T08:05:39.8005357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8005441Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8005639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8005702Z x = self.proj(x) 2025-09-07T08:05:39.8005705Z 2025-09-07T08:05:39.8005799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8005993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8006054Z return mod(*inputs) 2025-09-07T08:05:39.8006246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8006325Z x = self.forward_features(x) 2025-09-07T08:05:39.8006533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8006604Z x = self.stage3(x) 2025-09-07T08:05:39.8006792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8006885Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8007068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.8007128Z x = self.conv1(x) 2025-09-07T08:05:39.8007139Z 2025-09-07T08:05:39.8007237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8007416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8007487Z return mod(*inputs) 2025-09-07T08:05:39.8007682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8007758Z x = self.forward_features(x) 2025-09-07T08:05:39.8007963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8008039Z x = self.stage3(x) 2025-09-07T08:05:39.8008236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8008336Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8008527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8008586Z x = self.act1(x) 2025-09-07T08:05:39.8008589Z 2025-09-07T08:05:39.8008684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8008879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8008942Z return mod(*inputs) 2025-09-07T08:05:39.8009134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8009203Z x = self.forward_features(x) 2025-09-07T08:05:39.8009411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8009482Z x = self.stage3(x) 2025-09-07T08:05:39.8009666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8009771Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8009959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8010020Z x = self.act1(x) 2025-09-07T08:05:39.8010031Z 2025-09-07T08:05:39.8010126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8010312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8010382Z return mod(*inputs) 2025-09-07T08:05:39.8010564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8010636Z x = self.forward_features(x) 2025-09-07T08:05:39.8010848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8010910Z x = self.stage3(x) 2025-09-07T08:05:39.8011100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8011184Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8011378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8011437Z x = self.conv3(x) 2025-09-07T08:05:39.8011440Z 2025-09-07T08:05:39.8011535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8011738Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8011803Z return mod(*inputs) 2025-09-07T08:05:39.8012002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8012070Z x = self.forward_features(x) 2025-09-07T08:05:39.8012283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8012357Z x = self.stage3(x) 2025-09-07T08:05:39.8012546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8012635Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8012824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8012890Z x = self.conv3(x) 2025-09-07T08:05:39.8012893Z 2025-09-07T08:05:39.8012991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8013176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8013243Z return mod(*inputs) 2025-09-07T08:05:39.8013458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8013549Z x = self.forward_features(x) 2025-09-07T08:05:39.8013757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8013820Z x = self.stage3(x) 2025-09-07T08:05:39.8014014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8014097Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8014291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8014431Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8014434Z 2025-09-07T08:05:39.8014531Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8014724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8014787Z return mod(*inputs) 2025-09-07T08:05:39.8014982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8015065Z x = self.forward_features(x) 2025-09-07T08:05:39.8015286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8015346Z x = self.stage3(x) 2025-09-07T08:05:39.8015532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8015623Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8015813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8015960Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8015962Z 2025-09-07T08:05:39.8016060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8016246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8016318Z return mod(*inputs) 2025-09-07T08:05:39.8016509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8016584Z x = self.forward_features(x) 2025-09-07T08:05:39.8016797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8016858Z x = self.stage3(x) 2025-09-07T08:05:39.8017054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8017155Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8017346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8017484Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8017489Z 2025-09-07T08:05:39.8017594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8017777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8017840Z return mod(*inputs) 2025-09-07T08:05:39.8018033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8018101Z x = self.forward_features(x) 2025-09-07T08:05:39.8018317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8018378Z x = self.stage3(x) 2025-09-07T08:05:39.8018567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8018658Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8018858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8018964Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8018967Z 2025-09-07T08:05:39.8019066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8019252Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8019323Z return mod(*inputs) 2025-09-07T08:05:39.8019509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8019583Z x = self.forward_features(x) 2025-09-07T08:05:39.8019791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8019862Z x = self.stage3(x) 2025-09-07T08:05:39.8020049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8020132Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8020326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8020410Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8020431Z 2025-09-07T08:05:39.8020534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8020719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8020780Z return mod(*inputs) 2025-09-07T08:05:39.8020973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8021039Z x = self.forward_features(x) 2025-09-07T08:05:39.8021257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8021318Z x = self.stage3(x) 2025-09-07T08:05:39.8021501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8021593Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8021780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8021847Z x = attn @ v 2025-09-07T08:05:39.8021850Z 2025-09-07T08:05:39.8021946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8022139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8022199Z return mod(*inputs) 2025-09-07T08:05:39.8022382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8022470Z x = self.forward_features(x) 2025-09-07T08:05:39.8022680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8022750Z x = self.stage3(x) 2025-09-07T08:05:39.8022936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8023019Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8023209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8023293Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8023298Z 2025-09-07T08:05:39.8023404Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8023589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8023652Z return mod(*inputs) 2025-09-07T08:05:39.8023847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8023913Z x = self.forward_features(x) 2025-09-07T08:05:39.8024129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8024206Z x = self.stage3(x) 2025-09-07T08:05:39.8024389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8024497Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8024679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8024744Z x = attn @ v 2025-09-07T08:05:39.8024747Z 2025-09-07T08:05:39.8024842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8025029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8025090Z return mod(*inputs) 2025-09-07T08:05:39.8025272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8025346Z x = self.forward_features(x) 2025-09-07T08:05:39.8025554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8025624Z x = self.stage3(x) 2025-09-07T08:05:39.8025807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8025907Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8026098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.8026180Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.8026183Z 2025-09-07T08:05:39.8026266Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8026360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8026542Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8026612Z return mod(*inputs) 2025-09-07T08:05:39.8026794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8026867Z x = self.forward_features(x) 2025-09-07T08:05:39.8027078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8027140Z x = self.stage3(x) 2025-09-07T08:05:39.8027331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8027412Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8027603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8027665Z x = self.proj(x) 2025-09-07T08:05:39.8027668Z 2025-09-07T08:05:39.8027784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8027970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8028031Z return mod(*inputs) 2025-09-07T08:05:39.8051902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8052091Z x = self.forward_features(x) 2025-09-07T08:05:39.8052393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8052472Z x = self.stage3(x) 2025-09-07T08:05:39.8052685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8052801Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8053002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8053077Z x = self.proj(x) 2025-09-07T08:05:39.8053083Z 2025-09-07T08:05:39.8053197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8053400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8053476Z return mod(*inputs) 2025-09-07T08:05:39.8053764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8053923Z x = self.forward_features(x) 2025-09-07T08:05:39.8054148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8054213Z x = self.stage3(x) 2025-09-07T08:05:39.8054419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8054512Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8054516Z 2025-09-07T08:05:39.8054629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8054828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8054892Z return mod(*inputs) 2025-09-07T08:05:39.8055099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8055172Z x = self.forward_features(x) 2025-09-07T08:05:39.8055422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8055521Z x = self.stage3(x) 2025-09-07T08:05:39.8055716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8055807Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8055997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.8056071Z x = self.conv1(x) 2025-09-07T08:05:39.8056075Z 2025-09-07T08:05:39.8056179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8056379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8056442Z return mod(*inputs) 2025-09-07T08:05:39.8056632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8056713Z x = self.forward_features(x) 2025-09-07T08:05:39.8056922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8056995Z x = self.stage3(x) 2025-09-07T08:05:39.8057184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8057273Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8057471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8057596Z x = self.act1(x) 2025-09-07T08:05:39.8057600Z 2025-09-07T08:05:39.8057708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8057893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8057960Z return mod(*inputs) 2025-09-07T08:05:39.8058155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8058223Z x = self.forward_features(x) 2025-09-07T08:05:39.8058444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8058504Z x = self.stage3(x) 2025-09-07T08:05:39.8058699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8058784Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8058972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8059048Z x = self.act1(x) 2025-09-07T08:05:39.8059051Z 2025-09-07T08:05:39.8059150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8059355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8059422Z return mod(*inputs) 2025-09-07T08:05:39.8059621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8059698Z x = self.forward_features(x) 2025-09-07T08:05:39.8059908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8059980Z x = self.stage3(x) 2025-09-07T08:05:39.8060164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8060247Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8060442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8060503Z x = self.conv3(x) 2025-09-07T08:05:39.8060507Z 2025-09-07T08:05:39.8060612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8060796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8060869Z return mod(*inputs) 2025-09-07T08:05:39.8061053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8061134Z x = self.forward_features(x) 2025-09-07T08:05:39.8061357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8061418Z x = self.stage3(x) 2025-09-07T08:05:39.8061611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8061695Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8061880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8061952Z x = self.conv3(x) 2025-09-07T08:05:39.8061955Z 2025-09-07T08:05:39.8062056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8062248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8062313Z return mod(*inputs) 2025-09-07T08:05:39.8062503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8062578Z x = self.forward_features(x) 2025-09-07T08:05:39.8062786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8062857Z x = self.stage3(x) 2025-09-07T08:05:39.8063062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8063152Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8063343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8063496Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8063501Z 2025-09-07T08:05:39.8063612Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8063799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8063873Z return mod(*inputs) 2025-09-07T08:05:39.8064058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8064126Z x = self.forward_features(x) 2025-09-07T08:05:39.8064344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8064406Z x = self.stage3(x) 2025-09-07T08:05:39.8064603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8064691Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8064889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8065057Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8065061Z 2025-09-07T08:05:39.8065161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8065353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8065417Z return mod(*inputs) 2025-09-07T08:05:39.8065602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8065677Z x = self.forward_features(x) 2025-09-07T08:05:39.8065892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8065963Z x = self.stage3(x) 2025-09-07T08:05:39.8066147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8066245Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8066429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8066586Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8066590Z 2025-09-07T08:05:39.8066697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8066882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8066953Z return mod(*inputs) 2025-09-07T08:05:39.8067143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8067209Z x = self.forward_features(x) 2025-09-07T08:05:39.8067427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8067487Z x = self.stage3(x) 2025-09-07T08:05:39.8067684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8067773Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8067961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8068062Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8068065Z 2025-09-07T08:05:39.8068162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8068354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8068418Z return mod(*inputs) 2025-09-07T08:05:39.8068633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8068702Z x = self.forward_features(x) 2025-09-07T08:05:39.8068915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8068989Z x = self.stage3(x) 2025-09-07T08:05:39.8069180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8069275Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8069461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8069547Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8069551Z 2025-09-07T08:05:39.8069655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8069839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8069912Z return mod(*inputs) 2025-09-07T08:05:39.8070102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8070168Z x = self.forward_features(x) 2025-09-07T08:05:39.8070413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8070490Z x = self.stage3(x) 2025-09-07T08:05:39.8070690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8070773Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8070973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8071035Z x = attn @ v 2025-09-07T08:05:39.8071038Z 2025-09-07T08:05:39.8071134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8071328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8071394Z return mod(*inputs) 2025-09-07T08:05:39.8071589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8071658Z x = self.forward_features(x) 2025-09-07T08:05:39.8071867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8071952Z x = self.stage3(x) 2025-09-07T08:05:39.8072139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8072232Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8072422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8072504Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8072507Z 2025-09-07T08:05:39.8072616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8072802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8072871Z return mod(*inputs) 2025-09-07T08:05:39.8073060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8073136Z x = self.forward_features(x) 2025-09-07T08:05:39.8073348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8073411Z x = self.stage3(x) 2025-09-07T08:05:39.8073604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8073689Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8073886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8073961Z x = attn @ v 2025-09-07T08:05:39.8073965Z 2025-09-07T08:05:39.8074062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8074258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8074322Z return mod(*inputs) 2025-09-07T08:05:39.8074519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8074590Z x = self.forward_features(x) 2025-09-07T08:05:39.8074801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8074870Z x = self.stage3(x) 2025-09-07T08:05:39.8075059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8075151Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8075344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.8075431Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.8075443Z 2025-09-07T08:05:39.8075529Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8075626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8075827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8075909Z return mod(*inputs) 2025-09-07T08:05:39.8076103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8076170Z x = self.forward_features(x) 2025-09-07T08:05:39.8076380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8076447Z x = self.stage3(x) 2025-09-07T08:05:39.8076631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8076724Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8076911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8076973Z x = self.proj(x) 2025-09-07T08:05:39.8076976Z 2025-09-07T08:05:39.8077082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8077264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8077355Z return mod(*inputs) 2025-09-07T08:05:39.8077544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8077613Z x = self.forward_features(x) 2025-09-07T08:05:39.8077831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8077892Z x = self.stage3(x) 2025-09-07T08:05:39.8078089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8078173Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8078356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8078425Z x = self.proj(x) 2025-09-07T08:05:39.8078430Z 2025-09-07T08:05:39.8078528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8078714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8078778Z return mod(*inputs) 2025-09-07T08:05:39.8078970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8079039Z x = self.forward_features(x) 2025-09-07T08:05:39.8079246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8079317Z x = self.stage3(x) 2025-09-07T08:05:39.8079519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8079611Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8079797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 62, in forward 2025-09-07T08:05:39.8079858Z x = self.conv1(x) 2025-09-07T08:05:39.8079863Z 2025-09-07T08:05:39.8079967Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8080147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8080220Z return mod(*inputs) 2025-09-07T08:05:39.8080407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8080474Z x = self.forward_features(x) 2025-09-07T08:05:39.8080696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8080763Z x = self.stage3(x) 2025-09-07T08:05:39.8080956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8081041Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8081241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8081650Z x = self.act1(x) 2025-09-07T08:05:39.8081653Z 2025-09-07T08:05:39.8081753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8081946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8082011Z return mod(*inputs) 2025-09-07T08:05:39.8082208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8082276Z x = self.forward_features(x) 2025-09-07T08:05:39.8082488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8082562Z x = self.stage3(x) 2025-09-07T08:05:39.8082747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8082843Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8083030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8083093Z x = self.act1(x) 2025-09-07T08:05:39.8083129Z 2025-09-07T08:05:39.8083234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8083415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8083487Z return mod(*inputs) 2025-09-07T08:05:39.8083673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8083739Z x = self.forward_features(x) 2025-09-07T08:05:39.8083959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8084019Z x = self.stage3(x) 2025-09-07T08:05:39.8084209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8084293Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8084478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8084546Z x = self.conv3(x) 2025-09-07T08:05:39.8084549Z 2025-09-07T08:05:39.8084644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8084836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8084898Z return mod(*inputs) 2025-09-07T08:05:39.8085087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8085171Z x = self.forward_features(x) 2025-09-07T08:05:39.8085381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8085452Z x = self.stage3(x) 2025-09-07T08:05:39.8085637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8085728Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8085913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8085976Z x = self.conv3(x) 2025-09-07T08:05:39.8085979Z 2025-09-07T08:05:39.8086087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8086268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8086337Z return mod(*inputs) 2025-09-07T08:05:39.8086523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8086592Z x = self.forward_features(x) 2025-09-07T08:05:39.8086810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8086871Z x = self.stage3(x) 2025-09-07T08:05:39.8087076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8087176Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8087361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8087510Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8087513Z 2025-09-07T08:05:39.8087607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8087800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8087865Z return mod(*inputs) 2025-09-07T08:05:39.8088054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8088132Z x = self.forward_features(x) 2025-09-07T08:05:39.8088344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8088405Z x = self.stage3(x) 2025-09-07T08:05:39.8088596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8088697Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8088893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8089032Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8089035Z 2025-09-07T08:05:39.8089135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8089319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8089382Z return mod(*inputs) 2025-09-07T08:05:39.8089576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8089642Z x = self.forward_features(x) 2025-09-07T08:05:39.8089857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8089918Z x = self.stage3(x) 2025-09-07T08:05:39.8090102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8090194Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8090378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 92, in forward 2025-09-07T08:05:39.8090546Z x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3) 2025-09-07T08:05:39.8090548Z 2025-09-07T08:05:39.8090645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8090828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8090898Z return mod(*inputs) 2025-09-07T08:05:39.8091081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8091159Z x = self.forward_features(x) 2025-09-07T08:05:39.8091369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8091430Z x = self.stage3(x) 2025-09-07T08:05:39.8091624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8091707Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8091899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8091982Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8091985Z 2025-09-07T08:05:39.8092085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8092281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8092360Z return mod(*inputs) 2025-09-07T08:05:39.8092555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8092624Z x = self.forward_features(x) 2025-09-07T08:05:39.8092846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8092907Z x = self.stage3(x) 2025-09-07T08:05:39.8093093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8093186Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8093372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8093462Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8093466Z 2025-09-07T08:05:39.8093564Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8093750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8093820Z return mod(*inputs) 2025-09-07T08:05:39.8094021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8094096Z x = self.forward_features(x) 2025-09-07T08:05:39.8094304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8094374Z x = self.stage3(x) 2025-09-07T08:05:39.8094560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8094643Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8094834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8094892Z x = attn @ v 2025-09-07T08:05:39.8094895Z 2025-09-07T08:05:39.8095001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8095188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8095251Z return mod(*inputs) 2025-09-07T08:05:39.8095443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8095509Z x = self.forward_features(x) 2025-09-07T08:05:39.8095728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8095788Z x = self.stage3(x) 2025-09-07T08:05:39.8095993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8096085Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8096269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 101, in forward 2025-09-07T08:05:39.8096359Z attn = (q @ k.transpose(-2, -1)) * self.scale 2025-09-07T08:05:39.8096363Z 2025-09-07T08:05:39.8096457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8096646Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8096710Z return mod(*inputs) 2025-09-07T08:05:39.8096896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8096970Z x = self.forward_features(x) 2025-09-07T08:05:39.8097182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8097253Z x = self.stage3(x) 2025-09-07T08:05:39.8097439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8097520Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8097730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 104, in forward 2025-09-07T08:05:39.8097804Z x = attn @ v 2025-09-07T08:05:39.8097807Z 2025-09-07T08:05:39.8097913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8098095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8098157Z return mod(*inputs) 2025-09-07T08:05:39.8098350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8098416Z x = self.forward_features(x) 2025-09-07T08:05:39.8098633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8098693Z x = self.stage3(x) 2025-09-07T08:05:39.8098879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8098971Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8099153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 106, in forward 2025-09-07T08:05:39.8099248Z x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W) 2025-09-07T08:05:39.8099271Z 2025-09-07T08:05:39.8099351Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8099455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8099634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8099694Z return mod(*inputs) 2025-09-07T08:05:39.8099887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8099952Z x = self.forward_features(x) 2025-09-07T08:05:39.8100171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8100234Z x = self.stage3(x) 2025-09-07T08:05:39.8100425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8100518Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8100708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8100774Z x = self.proj(x) 2025-09-07T08:05:39.8100777Z 2025-09-07T08:05:39.8100873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8101054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8101124Z return mod(*inputs) 2025-09-07T08:05:39.8101320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8101394Z x = self.forward_features(x) 2025-09-07T08:05:39.8101606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8101668Z x = self.stage3(x) 2025-09-07T08:05:39.8101864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 156, in forward 2025-09-07T08:05:39.8101947Z x = x + self.drop_path(self.attn(self.norm1(x))) 2025-09-07T08:05:39.8102138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 107, in forward 2025-09-07T08:05:39.8102200Z x = self.proj(x) 2025-09-07T08:05:39.8102202Z 2025-09-07T08:05:39.8102305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8102484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8102548Z return mod(*inputs) 2025-09-07T08:05:39.8102739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8102808Z x = self.forward_features(x) 2025-09-07T08:05:39.8103038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8103114Z x = self.stage3(x) 2025-09-07T08:05:39.8103298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8103393Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8103582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8103649Z x = self.act1(x) 2025-09-07T08:05:39.8103652Z 2025-09-07T08:05:39.8103747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8103932Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8104005Z return mod(*inputs) 2025-09-07T08:05:39.8104193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8104268Z x = self.forward_features(x) 2025-09-07T08:05:39.8104480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8104541Z x = self.stage3(x) 2025-09-07T08:05:39.8104752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8104836Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8105028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 63, in forward 2025-09-07T08:05:39.8105088Z x = self.act1(x) 2025-09-07T08:05:39.8105091Z 2025-09-07T08:05:39.8105195Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8105379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8105441Z return mod(*inputs) 2025-09-07T08:05:39.8105631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8105699Z x = self.forward_features(x) 2025-09-07T08:05:39.8105917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8105980Z x = self.stage3(x) 2025-09-07T08:05:39.8106163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8106251Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8106434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8106502Z x = self.conv3(x) 2025-09-07T08:05:39.8106505Z 2025-09-07T08:05:39.8106615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8106798Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8106866Z return mod(*inputs) 2025-09-07T08:05:39.8107051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 436, in forward 2025-09-07T08:05:39.8107126Z x = self.forward_features(x) 2025-09-07T08:05:39.8107334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 425, in forward_features 2025-09-07T08:05:39.8107396Z x = self.stage3(x) 2025-09-07T08:05:39.8107588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 157, in forward 2025-09-07T08:05:39.8107669Z x = x + self.drop_path(self.mlp(self.norm2(x))) 2025-09-07T08:05:39.8107861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 68, in forward 2025-09-07T08:05:39.8107925Z x = self.conv3(x) 2025-09-07T08:05:39.8107930Z 2025-09-07T08:05:39.8108018Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8108111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:39.8108292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:05:39.8108381Z return mod(*inputs) 2025-09-07T08:05:39.8108581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 437, in forward 2025-09-07T08:05:39.8108662Z x = self.forward_head(x) 2025-09-07T08:05:39.8108865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/visformer.py", line 433, in forward_head 2025-09-07T08:05:39.8108948Z return x if pre_logits else self.head(x) 2025-09-07T08:05:39.8108951Z 2025-09-07T08:05:39.8109038Z cudagraph partition due to non gpu ops 2025-09-07T08:05:39.8109112Z cudagraph partition due to non gpu ops 2025-09-07T08:06:05.7481473Z pass 2025-09-07T08:06:05.7481940Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:07.7911005Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:06:07.7911891Z import pynvml # type: ignore[import] 2025-09-07T08:06:09.9606484Z 2025-09-07T08:06:10.8195285Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:10.8195631Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:10.8195889Z cpu eval vit_base_patch16_224 2025-09-07T08:06:11.1366107Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:11.2165683Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:11.4236781Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:19.4080323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4080747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4081082Z return mod(*inputs) 2025-09-07T08:06:19.4081459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4081854Z x = self.forward_features(x) 2025-09-07T08:06:19.4082216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:06:19.4082580Z x = self.patch_embed(x) 2025-09-07T08:06:19.4082893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:06:19.4083214Z x = self.proj(x) 2025-09-07T08:06:19.4083314Z 2025-09-07T08:06:19.4083410Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4083835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4084193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4084505Z return mod(*inputs) 2025-09-07T08:06:19.4084833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4085175Z x = self.forward_features(x) 2025-09-07T08:06:19.4085532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:06:19.4085904Z x = self.patch_embed(x) 2025-09-07T08:06:19.4086223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:06:19.4086528Z x = self.proj(x) 2025-09-07T08:06:19.4086629Z 2025-09-07T08:06:19.4086731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4087099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4087402Z return mod(*inputs) 2025-09-07T08:06:19.4087715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4088113Z x = self.forward_features(x) 2025-09-07T08:06:19.4088464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 823, in forward_features 2025-09-07T08:06:19.4088867Z x = self.patch_embed(x) 2025-09-07T08:06:19.4089171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/patch_embed.py", line 131, in forward 2025-09-07T08:06:19.4089482Z x = self.proj(x) 2025-09-07T08:06:19.4089585Z 2025-09-07T08:06:19.4089684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4090028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4090330Z return mod(*inputs) 2025-09-07T08:06:19.4090645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4090970Z x = self.forward_features(x) 2025-09-07T08:06:19.4091320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 824, in forward_features 2025-09-07T08:06:19.4091674Z x = self._pos_embed(x) 2025-09-07T08:06:19.4092005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 716, in _pos_embed 2025-09-07T08:06:19.4092395Z x = torch.cat(to_cat + [x], dim=1) 2025-09-07T08:06:19.4092526Z 2025-09-07T08:06:19.4092689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4093033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4093347Z return mod(*inputs) 2025-09-07T08:06:19.4093663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4093991Z x = self.forward_features(x) 2025-09-07T08:06:19.4094344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 824, in forward_features 2025-09-07T08:06:19.4094703Z x = self._pos_embed(x) 2025-09-07T08:06:19.4095045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 716, in _pos_embed 2025-09-07T08:06:19.4095403Z x = torch.cat(to_cat + [x], dim=1) 2025-09-07T08:06:19.4095530Z 2025-09-07T08:06:19.4095610Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4095818Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4096022Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4096249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4096580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4096885Z return mod(*inputs) 2025-09-07T08:06:19.4099370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4099779Z x = self.forward_features(x) 2025-09-07T08:06:19.4100142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4100488Z x = self.blocks(x) 2025-09-07T08:06:19.4100800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4101183Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4101557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4101897Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4102029Z 2025-09-07T08:06:19.4102106Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4102309Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4102513Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4102711Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4102902Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4103101Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4103317Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4103536Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4103724Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4103949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4104283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4104591Z return mod(*inputs) 2025-09-07T08:06:19.4104897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4105240Z x = self.forward_features(x) 2025-09-07T08:06:19.4105588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4105939Z x = self.blocks(x) 2025-09-07T08:06:19.4106248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4106623Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4106997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4107362Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4107489Z 2025-09-07T08:06:19.4107572Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4107761Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4107984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4108317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4108620Z return mod(*inputs) 2025-09-07T08:06:19.4108925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4109262Z x = self.forward_features(x) 2025-09-07T08:06:19.4109609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4109962Z x = self.blocks(x) 2025-09-07T08:06:19.4110273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4110635Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4110793Z 2025-09-07T08:06:19.4110869Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4111071Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4111269Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4111459Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4111656Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4111867Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4112066Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4112279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4112618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4112923Z return mod(*inputs) 2025-09-07T08:06:19.4113237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4113570Z x = self.forward_features(x) 2025-09-07T08:06:19.4113916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4114265Z x = self.blocks(x) 2025-09-07T08:06:19.4114577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4114948Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4115311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4115643Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4115772Z 2025-09-07T08:06:19.4115848Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4116066Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4116282Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4116476Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4116677Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4116874Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4117072Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4117264Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4117461Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4117685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4118020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4118315Z return mod(*inputs) 2025-09-07T08:06:19.4118627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4118962Z x = self.forward_features(x) 2025-09-07T08:06:19.4119311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4119663Z x = self.blocks(x) 2025-09-07T08:06:19.4119993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4120365Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4120736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4121081Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4121204Z 2025-09-07T08:06:19.4121283Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4121481Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4121708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4122050Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4122359Z return mod(*inputs) 2025-09-07T08:06:19.4122671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4123016Z x = self.forward_features(x) 2025-09-07T08:06:19.4123371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4123729Z x = self.blocks(x) 2025-09-07T08:06:19.4124036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4124409Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4124587Z 2025-09-07T08:06:19.4124664Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4124867Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4125063Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4125251Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4125447Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4125645Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4125838Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4126056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4126395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4126700Z return mod(*inputs) 2025-09-07T08:06:19.4127010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4127340Z x = self.forward_features(x) 2025-09-07T08:06:19.4127693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4128041Z x = self.blocks(x) 2025-09-07T08:06:19.4128348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4128732Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4129121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4129464Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4129599Z 2025-09-07T08:06:19.4129672Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4129877Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4130066Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4130266Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4130464Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4130662Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4130938Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4131141Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4131337Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4131563Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4131895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4132204Z return mod(*inputs) 2025-09-07T08:06:19.4132555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4132891Z x = self.forward_features(x) 2025-09-07T08:06:19.4133237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4133577Z x = self.blocks(x) 2025-09-07T08:06:19.4133889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4134255Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4134628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4134974Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4135098Z 2025-09-07T08:06:19.4135175Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4135376Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4135604Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4135944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4136239Z return mod(*inputs) 2025-09-07T08:06:19.4136550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4136889Z x = self.forward_features(x) 2025-09-07T08:06:19.4137275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4137625Z x = self.blocks(x) 2025-09-07T08:06:19.4137926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4138297Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4138451Z 2025-09-07T08:06:19.4138531Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4138734Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4138924Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4139122Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4139315Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4139511Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4139699Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4139925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4140263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4140570Z return mod(*inputs) 2025-09-07T08:06:19.4140876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4141235Z x = self.forward_features(x) 2025-09-07T08:06:19.4141590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4141967Z x = self.blocks(x) 2025-09-07T08:06:19.4142276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4142634Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4143000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4143337Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4143459Z 2025-09-07T08:06:19.4143545Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4143745Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4143936Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4144133Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4144330Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4144530Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4144719Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4144933Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4145126Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4145353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4145684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4145987Z return mod(*inputs) 2025-09-07T08:06:19.4146302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4146638Z x = self.forward_features(x) 2025-09-07T08:06:19.4146979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4147328Z x = self.blocks(x) 2025-09-07T08:06:19.4147641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4148009Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4148377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4148707Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4148838Z 2025-09-07T08:06:19.4148914Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4149117Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4149344Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4149695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4150007Z return mod(*inputs) 2025-09-07T08:06:19.4150320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4150658Z x = self.forward_features(x) 2025-09-07T08:06:19.4151011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4151356Z x = self.blocks(x) 2025-09-07T08:06:19.4151668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4152039Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4152190Z 2025-09-07T08:06:19.4152271Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4152468Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4152673Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4152873Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4153070Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4153259Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4153458Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4153698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4154034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4154360Z return mod(*inputs) 2025-09-07T08:06:19.4154676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4155016Z x = self.forward_features(x) 2025-09-07T08:06:19.4155379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4155735Z x = self.blocks(x) 2025-09-07T08:06:19.4156047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4156423Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4156795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4157143Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4157270Z 2025-09-07T08:06:19.4157353Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4157551Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4157766Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4157960Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4158159Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4158347Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4158542Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4158738Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4158931Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4159147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4159485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4159788Z return mod(*inputs) 2025-09-07T08:06:19.4160106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4160436Z x = self.forward_features(x) 2025-09-07T08:06:19.4160780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4161132Z x = self.blocks(x) 2025-09-07T08:06:19.4161442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4161805Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4162163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4162515Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4162650Z 2025-09-07T08:06:19.4162726Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4162926Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4163145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4163482Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4163791Z return mod(*inputs) 2025-09-07T08:06:19.4164103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4164437Z x = self.forward_features(x) 2025-09-07T08:06:19.4164781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4165129Z x = self.blocks(x) 2025-09-07T08:06:19.4165440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4165805Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4165953Z 2025-09-07T08:06:19.4166035Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4166227Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4166436Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4166649Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4166848Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4167040Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4167237Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4167462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4167803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4168099Z return mod(*inputs) 2025-09-07T08:06:19.4168414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4168753Z x = self.forward_features(x) 2025-09-07T08:06:19.4169101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4169443Z x = self.blocks(x) 2025-09-07T08:06:19.4169755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4170124Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4170508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4170847Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4170971Z 2025-09-07T08:06:19.4171044Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4171245Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4171442Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4171637Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4171831Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4172030Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4172229Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4172429Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4172652Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4172867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4173205Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4173517Z return mod(*inputs) 2025-09-07T08:06:19.4173832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4174167Z x = self.forward_features(x) 2025-09-07T08:06:19.4174518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4174869Z x = self.blocks(x) 2025-09-07T08:06:19.4175199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4175572Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4175933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 93, in forward 2025-09-07T08:06:19.4176275Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:19.4176407Z 2025-09-07T08:06:19.4176482Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4176682Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4176899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4177236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4177544Z return mod(*inputs) 2025-09-07T08:06:19.4177857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 849, in forward 2025-09-07T08:06:19.4178196Z x = self.forward_features(x) 2025-09-07T08:06:19.4178539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 830, in forward_features 2025-09-07T08:06:19.4178890Z x = self.blocks(x) 2025-09-07T08:06:19.4179235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 169, in forward 2025-09-07T08:06:19.4179619Z x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x)))) 2025-09-07T08:06:19.4179772Z 2025-09-07T08:06:19.4179853Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4180048Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4180246Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4180442Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4180670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:19.4181001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:19.4181308Z return mod(*inputs) 2025-09-07T08:06:19.4181621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 850, in forward 2025-09-07T08:06:19.4181953Z x = self.forward_head(x) 2025-09-07T08:06:19.4182285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/vision_transformer.py", line 846, in forward_head 2025-09-07T08:06:19.4182647Z return x if pre_logits else self.head(x) 2025-09-07T08:06:19.4182802Z 2025-09-07T08:06:19.4182882Z cudagraph partition due to non gpu ops 2025-09-07T08:06:19.4183092Z cudagraph partition due to non gpu ops 2025-09-07T08:06:33.4004466Z pass 2025-09-07T08:06:33.4004955Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:35.4093162Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:06:35.4094047Z import pynvml # type: ignore[import] 2025-09-07T08:06:37.5734861Z 2025-09-07T08:06:38.1351881Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:38.1352221Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:38.1352576Z cpu eval volo_d1_224 2025-09-07T08:06:38.5430233Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:38.9570709Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:39.3704606Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:57.7257581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7258017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7258647Z return mod(*inputs) 2025-09-07T08:06:57.7259030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7259353Z x = self.forward_features(x) 2025-09-07T08:06:57.7259694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7260094Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7260437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7260741Z x = self.conv(x) 2025-09-07T08:06:57.7260841Z 2025-09-07T08:06:57.7260947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7261292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7261604Z return mod(*inputs) 2025-09-07T08:06:57.7261897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7262197Z x = self.forward_features(x) 2025-09-07T08:06:57.7262526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7262856Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7263322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7264647Z x = block(x) 2025-09-07T08:06:57.7264920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7265255Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7265582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7266002Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7266240Z 2025-09-07T08:06:57.7266361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7266700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7267014Z return mod(*inputs) 2025-09-07T08:06:57.7267305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7267613Z x = self.forward_features(x) 2025-09-07T08:06:57.7267932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7268309Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7268620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7268936Z x = block(x) 2025-09-07T08:06:57.7269200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7269513Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7269835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 77, in forward 2025-09-07T08:06:57.7270137Z v = self.unfold(v).reshape( 2025-09-07T08:06:57.7270254Z 2025-09-07T08:06:57.7270363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7270713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7271022Z return mod(*inputs) 2025-09-07T08:06:57.7271307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7271615Z x = self.forward_features(x) 2025-09-07T08:06:57.7271930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7272249Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7272554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7272877Z x = block(x) 2025-09-07T08:06:57.7273143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7273451Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7273774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7274183Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7274411Z 2025-09-07T08:06:57.7274519Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7274858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7275150Z return mod(*inputs) 2025-09-07T08:06:57.7275426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7275720Z x = self.forward_features(x) 2025-09-07T08:06:57.7276038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7276350Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7276653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7276984Z x = block(x) 2025-09-07T08:06:57.7277268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7277595Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7277907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7278315Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7278551Z 2025-09-07T08:06:57.7278651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7279001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7279311Z return mod(*inputs) 2025-09-07T08:06:57.7279581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7279888Z x = self.forward_features(x) 2025-09-07T08:06:57.7280210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7280538Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7280860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7281168Z x = block(x) 2025-09-07T08:06:57.7281436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7281755Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7282073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7282469Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7282702Z 2025-09-07T08:06:57.7282781Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7283012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7283343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7283643Z return mod(*inputs) 2025-09-07T08:06:57.7283926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7284228Z x = self.forward_features(x) 2025-09-07T08:06:57.7284544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7284913Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7285257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7285552Z x = self.conv(x) 2025-09-07T08:06:57.7285654Z 2025-09-07T08:06:57.7285751Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7286087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7286383Z return mod(*inputs) 2025-09-07T08:06:57.7286659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7286962Z x = self.forward_features(x) 2025-09-07T08:06:57.7287277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7287643Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7287965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7288256Z x = self.conv(x) 2025-09-07T08:06:57.7288357Z 2025-09-07T08:06:57.7288456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7288797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7289100Z return mod(*inputs) 2025-09-07T08:06:57.7289380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7289693Z x = self.forward_features(x) 2025-09-07T08:06:57.7290010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7290375Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7290701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7290992Z x = self.conv(x) 2025-09-07T08:06:57.7291089Z 2025-09-07T08:06:57.7291188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7291531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7291836Z return mod(*inputs) 2025-09-07T08:06:57.7292105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7292409Z x = self.forward_features(x) 2025-09-07T08:06:57.7292730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7293106Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7293433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7293726Z x = self.conv(x) 2025-09-07T08:06:57.7293826Z 2025-09-07T08:06:57.7293924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7294262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7294572Z return mod(*inputs) 2025-09-07T08:06:57.7294854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7295155Z x = self.forward_features(x) 2025-09-07T08:06:57.7295476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7295842Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7296168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7296458Z x = self.conv(x) 2025-09-07T08:06:57.7296558Z 2025-09-07T08:06:57.7296656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7296994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7297294Z return mod(*inputs) 2025-09-07T08:06:57.7297578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7297883Z x = self.forward_features(x) 2025-09-07T08:06:57.7298198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7298560Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7298883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T08:06:57.7299183Z x = self.conv(x) 2025-09-07T08:06:57.7299285Z 2025-09-07T08:06:57.7299384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7299722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7300024Z return mod(*inputs) 2025-09-07T08:06:57.7300288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7300587Z x = self.forward_features(x) 2025-09-07T08:06:57.7300900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7301268Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7301601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-09-07T08:06:57.7301928Z x = self.proj(x) # B, C, H, W 2025-09-07T08:06:57.7302053Z 2025-09-07T08:06:57.7302153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7302492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7302789Z return mod(*inputs) 2025-09-07T08:06:57.7303052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7303350Z x = self.forward_features(x) 2025-09-07T08:06:57.7303674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T08:06:57.7304035Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T08:06:57.7304362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-09-07T08:06:57.7304653Z x = self.proj(x) # B, C, H, W 2025-09-07T08:06:57.7304779Z 2025-09-07T08:06:57.7304878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7305218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7305537Z return mod(*inputs) 2025-09-07T08:06:57.7305809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7306115Z x = self.forward_features(x) 2025-09-07T08:06:57.7306435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7306768Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7307086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7307399Z x = block(x) 2025-09-07T08:06:57.7307667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7307995Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7308319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T08:06:57.7308683Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T08:06:57.7308861Z 2025-09-07T08:06:57.7308943Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7309159Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7309368Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7309565Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7309800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7310188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7310493Z return mod(*inputs) 2025-09-07T08:06:57.7310774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7311067Z x = self.forward_features(x) 2025-09-07T08:06:57.7311389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7311714Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7312024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7312322Z x = block(x) 2025-09-07T08:06:57.7312585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7312901Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7313212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7313589Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7313780Z 2025-09-07T08:06:57.7313881Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7314231Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7314553Z return mod(*inputs) 2025-09-07T08:06:57.7314830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7315126Z x = self.forward_features(x) 2025-09-07T08:06:57.7315446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7315770Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7316078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7316383Z x = block(x) 2025-09-07T08:06:57.7316644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7316964Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7317278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7317647Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7317853Z 2025-09-07T08:06:57.7317956Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7318281Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7318595Z return mod(*inputs) 2025-09-07T08:06:57.7318873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7319174Z x = self.forward_features(x) 2025-09-07T08:06:57.7319481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7319802Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7320106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7320410Z x = block(x) 2025-09-07T08:06:57.7320667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7320981Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7321296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7321706Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7321934Z 2025-09-07T08:06:57.7322024Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7322247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7322599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7322907Z return mod(*inputs) 2025-09-07T08:06:57.7323184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7323485Z x = self.forward_features(x) 2025-09-07T08:06:57.7323797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7324121Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7324430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7324735Z x = block(x) 2025-09-07T08:06:57.7324992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7325305Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7325619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7325927Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7326051Z 2025-09-07T08:06:57.7326157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7326503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7326832Z return mod(*inputs) 2025-09-07T08:06:57.7327110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7327408Z x = self.forward_features(x) 2025-09-07T08:06:57.7327719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7328040Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7328349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7328656Z x = block(x) 2025-09-07T08:06:57.7328919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7329227Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7329542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7329852Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7329978Z 2025-09-07T08:06:57.7330062Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7330256Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7330480Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7330676Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7330990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7331322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7331632Z return mod(*inputs) 2025-09-07T08:06:57.7331914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7332226Z x = self.forward_features(x) 2025-09-07T08:06:57.7332548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7332866Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7333178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7333491Z x = block(x) 2025-09-07T08:06:57.7333758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7334070Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7334389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T08:06:57.7334729Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T08:06:57.7334889Z 2025-09-07T08:06:57.7334974Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7335224Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7335421Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7335621Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7335849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7336189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7336492Z return mod(*inputs) 2025-09-07T08:06:57.7336770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7337074Z x = self.forward_features(x) 2025-09-07T08:06:57.7337397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7337717Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7338036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7338348Z x = block(x) 2025-09-07T08:06:57.7338621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7338937Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7339273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7339670Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7339872Z 2025-09-07T08:06:57.7339971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7340309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7340617Z return mod(*inputs) 2025-09-07T08:06:57.7340884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7341185Z x = self.forward_features(x) 2025-09-07T08:06:57.7341503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7341823Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7342121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7342435Z x = block(x) 2025-09-07T08:06:57.7342695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7343013Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7343343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7343711Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7343907Z 2025-09-07T08:06:57.7344003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7344344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7344647Z return mod(*inputs) 2025-09-07T08:06:57.7344913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7345210Z x = self.forward_features(x) 2025-09-07T08:06:57.7345528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7345853Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7346156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7346457Z x = block(x) 2025-09-07T08:06:57.7346719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7347032Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7347344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7347761Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7347999Z 2025-09-07T08:06:57.7348075Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7348303Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7348647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7348961Z return mod(*inputs) 2025-09-07T08:06:57.7349235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7349543Z x = self.forward_features(x) 2025-09-07T08:06:57.7349866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7350192Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7350494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7350815Z x = block(x) 2025-09-07T08:06:57.7351084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7351404Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7351758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7352073Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7352210Z 2025-09-07T08:06:57.7352308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7352650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7352958Z return mod(*inputs) 2025-09-07T08:06:57.7353225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7353522Z x = self.forward_features(x) 2025-09-07T08:06:57.7353839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7354163Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7354468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7354766Z x = block(x) 2025-09-07T08:06:57.7355034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7355350Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7355681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7355984Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7356119Z 2025-09-07T08:06:57.7356195Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7356395Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7356595Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7356784Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7357009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7357346Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7357650Z return mod(*inputs) 2025-09-07T08:06:57.7357928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7358226Z x = self.forward_features(x) 2025-09-07T08:06:57.7358545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7358869Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7359173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7359472Z x = block(x) 2025-09-07T08:06:57.7359739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7360057Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7360839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T08:06:57.7361193Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T08:06:57.7361354Z 2025-09-07T08:06:57.7361431Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7361642Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7361848Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7362053Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7362275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7362617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7362928Z return mod(*inputs) 2025-09-07T08:06:57.7363211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7363513Z x = self.forward_features(x) 2025-09-07T08:06:57.7363834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7364160Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7364467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7364796Z x = block(x) 2025-09-07T08:06:57.7365076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7365397Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7365710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7366079Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7366270Z 2025-09-07T08:06:57.7366375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7366709Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7367012Z return mod(*inputs) 2025-09-07T08:06:57.7367288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7367589Z x = self.forward_features(x) 2025-09-07T08:06:57.7367898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7368226Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7368544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7368857Z x = block(x) 2025-09-07T08:06:57.7369112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7369424Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7369736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7370104Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7370293Z 2025-09-07T08:06:57.7370398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7370726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7371029Z return mod(*inputs) 2025-09-07T08:06:57.7371303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7371603Z x = self.forward_features(x) 2025-09-07T08:06:57.7371916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7372233Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7372542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7372849Z x = block(x) 2025-09-07T08:06:57.7373123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7373430Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7373750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7374157Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7374388Z 2025-09-07T08:06:57.7374474Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7374703Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7375029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7375335Z return mod(*inputs) 2025-09-07T08:06:57.7375614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7375912Z x = self.forward_features(x) 2025-09-07T08:06:57.7376231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7376568Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7376887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7377247Z x = block(x) 2025-09-07T08:06:57.7377533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7377852Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7378178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7378491Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7378620Z 2025-09-07T08:06:57.7378726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7379068Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7379383Z return mod(*inputs) 2025-09-07T08:06:57.7379666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7379975Z x = self.forward_features(x) 2025-09-07T08:06:57.7380303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7380625Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7380940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7381275Z x = block(x) 2025-09-07T08:06:57.7381546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7381867Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7382192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7382502Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7382631Z 2025-09-07T08:06:57.7382716Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7382926Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7383125Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7383333Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7383562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7383912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7384220Z return mod(*inputs) 2025-09-07T08:06:57.7384505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7384809Z x = self.forward_features(x) 2025-09-07T08:06:57.7385133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7385459Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7385790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7386110Z x = block(x) 2025-09-07T08:06:57.7386378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7386703Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7387019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T08:06:57.7387370Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T08:06:57.7387537Z 2025-09-07T08:06:57.7387613Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7387819Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7388015Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7388218Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7388444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7388790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7389107Z return mod(*inputs) 2025-09-07T08:06:57.7389389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7389703Z x = self.forward_features(x) 2025-09-07T08:06:57.7390048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7390400Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7390710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7391029Z x = block(x) 2025-09-07T08:06:57.7391302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7391629Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7391950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7392332Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7392539Z 2025-09-07T08:06:57.7392640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7392990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7393304Z return mod(*inputs) 2025-09-07T08:06:57.7393581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7393910Z x = self.forward_features(x) 2025-09-07T08:06:57.7394238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7394574Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7394887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7395200Z x = block(x) 2025-09-07T08:06:57.7395479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7395806Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7396130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T08:06:57.7396502Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T08:06:57.7396708Z 2025-09-07T08:06:57.7396814Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7397164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7397479Z return mod(*inputs) 2025-09-07T08:06:57.7397756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7398056Z x = self.forward_features(x) 2025-09-07T08:06:57.7398418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7398749Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7399070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7399386Z x = block(x) 2025-09-07T08:06:57.7399665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7399993Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7400324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T08:06:57.7400749Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T08:06:57.7400992Z 2025-09-07T08:06:57.7401197Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7401438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7401797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7402124Z return mod(*inputs) 2025-09-07T08:06:57.7402417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7402729Z x = self.forward_features(x) 2025-09-07T08:06:57.7403081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7403438Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7403757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7404068Z x = block(x) 2025-09-07T08:06:57.7404345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7404669Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7404992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7405308Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7405439Z 2025-09-07T08:06:57.7405543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7405889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7406204Z return mod(*inputs) 2025-09-07T08:06:57.7406486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7406799Z x = self.forward_features(x) 2025-09-07T08:06:57.7407123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7407452Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7407768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7408082Z x = block(x) 2025-09-07T08:06:57.7408346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T08:06:57.7408669Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7408988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T08:06:57.7409300Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T08:06:57.7409427Z 2025-09-07T08:06:57.7409506Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7409715Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7409923Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7410123Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7410343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7410692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7411003Z return mod(*inputs) 2025-09-07T08:06:57.7411291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7411619Z x = self.forward_features(x) 2025-09-07T08:06:57.7411936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7412265Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7412578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7412895Z x = block(x) 2025-09-07T08:06:57.7413160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-09-07T08:06:57.7413467Z x = self.proj(x) # B, C, H, W 2025-09-07T08:06:57.7413597Z 2025-09-07T08:06:57.7413698Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7414043Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7414354Z return mod(*inputs) 2025-09-07T08:06:57.7414629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7414935Z x = self.forward_features(x) 2025-09-07T08:06:57.7415260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7415589Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7415913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7416245Z x = block(x) 2025-09-07T08:06:57.7416516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-09-07T08:06:57.7416820Z x = self.proj(x) # B, C, H, W 2025-09-07T08:06:57.7416942Z 2025-09-07T08:06:57.7417026Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7417225Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7417429Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7417658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7418007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7418311Z return mod(*inputs) 2025-09-07T08:06:57.7418597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7418907Z x = self.forward_features(x) 2025-09-07T08:06:57.7419240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7419585Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7419902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7420222Z x = block(x) 2025-09-07T08:06:57.7420490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7420815Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7421136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7421450Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7421589Z 2025-09-07T08:06:57.7421668Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7421877Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7422078Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7422284Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7422486Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7422691Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7422889Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7423087Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7423281Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7423504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7423835Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7424139Z return mod(*inputs) 2025-09-07T08:06:57.7424433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7424731Z x = self.forward_features(x) 2025-09-07T08:06:57.7425049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7425364Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7425669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7425980Z x = block(x) 2025-09-07T08:06:57.7426248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7426560Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7426879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7427185Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7427308Z 2025-09-07T08:06:57.7427393Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7427592Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7427805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7428158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7428478Z return mod(*inputs) 2025-09-07T08:06:57.7428752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7429045Z x = self.forward_features(x) 2025-09-07T08:06:57.7429364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7429692Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7429997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7430306Z x = block(x) 2025-09-07T08:06:57.7430564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7430919Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7431057Z 2025-09-07T08:06:57.7431139Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7431346Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7431540Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7431753Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7431966Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7432206Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7432399Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7432625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7432971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7433283Z return mod(*inputs) 2025-09-07T08:06:57.7433558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7433867Z x = self.forward_features(x) 2025-09-07T08:06:57.7434193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7434528Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7434856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7435159Z x = block(x) 2025-09-07T08:06:57.7435427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7435744Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7436060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7436350Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7436479Z 2025-09-07T08:06:57.7436555Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7436781Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7436979Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7437166Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7437360Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7437556Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7437751Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7437950Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7438143Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7438363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7438701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7439003Z return mod(*inputs) 2025-09-07T08:06:57.7439274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7439574Z x = self.forward_features(x) 2025-09-07T08:06:57.7439888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7440207Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7440503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7440851Z x = block(x) 2025-09-07T08:06:57.7441117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7441461Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7441783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7442080Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7442215Z 2025-09-07T08:06:57.7442291Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7442493Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7442718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7443053Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7443361Z return mod(*inputs) 2025-09-07T08:06:57.7443639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7443942Z x = self.forward_features(x) 2025-09-07T08:06:57.7444262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7444609Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7444920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7445232Z x = block(x) 2025-09-07T08:06:57.7445494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7445806Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7445948Z 2025-09-07T08:06:57.7446024Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7446227Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7446426Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7446615Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7446814Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7447013Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7447212Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7447425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7447763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7448065Z return mod(*inputs) 2025-09-07T08:06:57.7448337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7448638Z x = self.forward_features(x) 2025-09-07T08:06:57.7448947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7449286Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7449589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7449894Z x = block(x) 2025-09-07T08:06:57.7450152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7450469Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7450777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7451078Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7451201Z 2025-09-07T08:06:57.7451280Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7451470Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7451663Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7451855Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7452051Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7452241Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7452433Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7452626Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7452818Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7453044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7453403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7453714Z return mod(*inputs) 2025-09-07T08:06:57.7453988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7454285Z x = self.forward_features(x) 2025-09-07T08:06:57.7454601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7454920Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7455230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7455541Z x = block(x) 2025-09-07T08:06:57.7455793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7456113Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7456427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7456732Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7456876Z 2025-09-07T08:06:57.7456952Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7457150Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7457376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7457718Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7458025Z return mod(*inputs) 2025-09-07T08:06:57.7458296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7458596Z x = self.forward_features(x) 2025-09-07T08:06:57.7458916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7459249Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7459551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7459865Z x = block(x) 2025-09-07T08:06:57.7460130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7460449Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7460585Z 2025-09-07T08:06:57.7460665Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7460862Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7461060Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7461259Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7461474Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7461665Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7461862Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7462088Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7462437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7462744Z return mod(*inputs) 2025-09-07T08:06:57.7463024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7463331Z x = self.forward_features(x) 2025-09-07T08:06:57.7463652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7463973Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7464286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7464599Z x = block(x) 2025-09-07T08:06:57.7464868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7465184Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7465508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7465813Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7465961Z 2025-09-07T08:06:57.7466037Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7466240Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7466430Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7466626Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7466823Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7467018Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7467207Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7467407Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7467606Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7467831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7468165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7468482Z return mod(*inputs) 2025-09-07T08:06:57.7468761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7469063Z x = self.forward_features(x) 2025-09-07T08:06:57.7469397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7469712Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7470019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7470327Z x = block(x) 2025-09-07T08:06:57.7470593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7470903Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7471214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7471515Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7471639Z 2025-09-07T08:06:57.7471722Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7471923Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7472139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7472485Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7472789Z return mod(*inputs) 2025-09-07T08:06:57.7473063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7473355Z x = self.forward_features(x) 2025-09-07T08:06:57.7473669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7474003Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7474309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7474611Z x = block(x) 2025-09-07T08:06:57.7474865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7475180Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7475314Z 2025-09-07T08:06:57.7475397Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7475592Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7475782Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7475981Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7476177Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7476371Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7476557Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7476781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7477115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7477419Z return mod(*inputs) 2025-09-07T08:06:57.7477685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7478000Z x = self.forward_features(x) 2025-09-07T08:06:57.7478337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7478661Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7478967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7479269Z x = block(x) 2025-09-07T08:06:57.7479534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7479850Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7480166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7480462Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7480596Z 2025-09-07T08:06:57.7480668Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7480869Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7481070Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7481273Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7481462Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7481672Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7481870Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7482066Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7482256Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7482482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7482821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7483130Z return mod(*inputs) 2025-09-07T08:06:57.7483398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7483698Z x = self.forward_features(x) 2025-09-07T08:06:57.7484019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7484347Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7484644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7484950Z x = block(x) 2025-09-07T08:06:57.7485211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7485523Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7485830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7486123Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7486265Z 2025-09-07T08:06:57.7486339Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7486539Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7486759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7487091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7487396Z return mod(*inputs) 2025-09-07T08:06:57.7487673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7487977Z x = self.forward_features(x) 2025-09-07T08:06:57.7488297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7488612Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7488919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7489227Z x = block(x) 2025-09-07T08:06:57.7489495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7489804Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7489953Z 2025-09-07T08:06:57.7490029Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7490248Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7490478Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7490672Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7490873Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7491070Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7491265Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7491486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7491816Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7492122Z return mod(*inputs) 2025-09-07T08:06:57.7492400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7492701Z x = self.forward_features(x) 2025-09-07T08:06:57.7493009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7493336Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7493644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7493966Z x = block(x) 2025-09-07T08:06:57.7494222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7494541Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7494855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7495159Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7495283Z 2025-09-07T08:06:57.7495366Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7495563Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7495763Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7495961Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7496166Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7496356Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7496554Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7496754Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7496953Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7497172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7497516Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7497820Z return mod(*inputs) 2025-09-07T08:06:57.7498094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7498387Z x = self.forward_features(x) 2025-09-07T08:06:57.7498721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7499051Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7499359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7499665Z x = block(x) 2025-09-07T08:06:57.7499926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7500244Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7500557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7500857Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7500980Z 2025-09-07T08:06:57.7501060Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7501251Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7501471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7501813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7502122Z return mod(*inputs) 2025-09-07T08:06:57.7502392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7502702Z x = self.forward_features(x) 2025-09-07T08:06:57.7503033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7503356Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7503654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7503964Z x = block(x) 2025-09-07T08:06:57.7504227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7504539Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7504677Z 2025-09-07T08:06:57.7504759Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7504954Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7505156Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7505355Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7505554Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7505746Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7505943Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7506166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7506521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7506820Z return mod(*inputs) 2025-09-07T08:06:57.7507097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7507396Z x = self.forward_features(x) 2025-09-07T08:06:57.7507716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7508036Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7508347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7508657Z x = block(x) 2025-09-07T08:06:57.7508922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7509243Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7509557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7509860Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7509993Z 2025-09-07T08:06:57.7510069Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7510272Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7510464Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7510664Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7510901Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7511099Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7511285Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7511484Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7511681Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7511907Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7512250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7512553Z return mod(*inputs) 2025-09-07T08:06:57.7512838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7513140Z x = self.forward_features(x) 2025-09-07T08:06:57.7513460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7513777Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7514085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7514391Z x = block(x) 2025-09-07T08:06:57.7514658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7514982Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7515297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T08:06:57.7515625Z x = F.scaled_dot_product_attention( 2025-09-07T08:06:57.7515752Z 2025-09-07T08:06:57.7515836Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7516035Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7516252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7516598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7516909Z return mod(*inputs) 2025-09-07T08:06:57.7517188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7517484Z x = self.forward_features(x) 2025-09-07T08:06:57.7517806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T08:06:57.7518144Z x = self.forward_tokens(x) 2025-09-07T08:06:57.7518454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T08:06:57.7518777Z x = block(x) 2025-09-07T08:06:57.7519031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T08:06:57.7519345Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7519489Z 2025-09-07T08:06:57.7519563Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7519764Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7519956Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7520162Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7520363Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7520587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7520916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7521227Z return mod(*inputs) 2025-09-07T08:06:57.7521503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7521803Z x = self.forward_features(x) 2025-09-07T08:06:57.7522119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7522438Z x = self.forward_cls(x) 2025-09-07T08:06:57.7522739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-09-07T08:06:57.7523056Z x = torch.cat([cls_tokens, x], dim=1) 2025-09-07T08:06:57.7523182Z 2025-09-07T08:06:57.7523268Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7523477Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7523701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7524038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7524342Z return mod(*inputs) 2025-09-07T08:06:57.7524616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7524908Z x = self.forward_features(x) 2025-09-07T08:06:57.7525224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7525541Z x = self.forward_cls(x) 2025-09-07T08:06:57.7525840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7526134Z x = block(x) 2025-09-07T08:06:57.7526397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T08:06:57.7526742Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7527082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T08:06:57.7527455Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T08:06:57.7527650Z 2025-09-07T08:06:57.7527727Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7527929Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7528160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7528499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7528797Z return mod(*inputs) 2025-09-07T08:06:57.7529078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7529383Z x = self.forward_features(x) 2025-09-07T08:06:57.7529707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7530032Z x = self.forward_cls(x) 2025-09-07T08:06:57.7530327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7530634Z x = block(x) 2025-09-07T08:06:57.7530942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T08:06:57.7531294Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7531659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T08:06:57.7532038Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T08:06:57.7532246Z 2025-09-07T08:06:57.7532324Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7532533Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7532734Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7532924Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7533123Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7533325Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7533549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7533881Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7534189Z return mod(*inputs) 2025-09-07T08:06:57.7534470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7534780Z x = self.forward_features(x) 2025-09-07T08:06:57.7535086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7535407Z x = self.forward_cls(x) 2025-09-07T08:06:57.7535699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7536024Z x = block(x) 2025-09-07T08:06:57.7536284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T08:06:57.7536648Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T08:06:57.7536834Z 2025-09-07T08:06:57.7536911Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7537133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7537466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7537768Z return mod(*inputs) 2025-09-07T08:06:57.7538044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7538347Z x = self.forward_features(x) 2025-09-07T08:06:57.7538666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7538982Z x = self.forward_cls(x) 2025-09-07T08:06:57.7539278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7539578Z x = block(x) 2025-09-07T08:06:57.7539844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T08:06:57.7540204Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T08:06:57.7540363Z 2025-09-07T08:06:57.7540439Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7540642Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7540867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7541199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7541496Z return mod(*inputs) 2025-09-07T08:06:57.7541776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7542075Z x = self.forward_features(x) 2025-09-07T08:06:57.7542391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7542713Z x = self.forward_cls(x) 2025-09-07T08:06:57.7542999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7543302Z x = block(x) 2025-09-07T08:06:57.7543571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T08:06:57.7543931Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7544260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T08:06:57.7544614Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T08:06:57.7544799Z 2025-09-07T08:06:57.7544876Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7545079Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7545304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7545634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7545941Z return mod(*inputs) 2025-09-07T08:06:57.7546219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7546522Z x = self.forward_features(x) 2025-09-07T08:06:57.7546829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7547146Z x = self.forward_cls(x) 2025-09-07T08:06:57.7547442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7547742Z x = block(x) 2025-09-07T08:06:57.7548004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T08:06:57.7548360Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T08:06:57.7548702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T08:06:57.7549073Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T08:06:57.7549268Z 2025-09-07T08:06:57.7549355Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7549550Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7549751Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7549948Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7550149Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7550336Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7550559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7550897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7551201Z return mod(*inputs) 2025-09-07T08:06:57.7551477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7551770Z x = self.forward_features(x) 2025-09-07T08:06:57.7552086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7552422Z x = self.forward_cls(x) 2025-09-07T08:06:57.7552735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7553027Z x = block(x) 2025-09-07T08:06:57.7553291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T08:06:57.7553645Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T08:06:57.7553821Z 2025-09-07T08:06:57.7553903Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7554128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7554458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7554763Z return mod(*inputs) 2025-09-07T08:06:57.7555039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T08:06:57.7555337Z x = self.forward_features(x) 2025-09-07T08:06:57.7555649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T08:06:57.7555727Z x = self.forward_cls(x) 2025-09-07T08:06:57.7555925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T08:06:57.7555994Z x = block(x) 2025-09-07T08:06:57.7556166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T08:06:57.7556256Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T08:06:57.7556268Z 2025-09-07T08:06:57.7556363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7556546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7556617Z return mod(*inputs) 2025-09-07T08:06:57.7556788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T08:06:57.7556868Z x = self.forward_head(x) 2025-09-07T08:06:57.7557056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-09-07T08:06:57.7557131Z aux = self.aux_head(x[:, 1:]) 2025-09-07T08:06:57.7557135Z 2025-09-07T08:06:57.7557218Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7557293Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7557397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7557579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7557641Z return mod(*inputs) 2025-09-07T08:06:57.7557835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T08:06:57.7557905Z x = self.forward_head(x) 2025-09-07T08:06:57.7558103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T08:06:57.7558177Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T08:06:57.7558180Z 2025-09-07T08:06:57.7558279Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7558466Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7558530Z return mod(*inputs) 2025-09-07T08:06:57.7558708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T08:06:57.7558777Z x = self.forward_head(x) 2025-09-07T08:06:57.7558962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-09-07T08:06:57.7559037Z out = self.head(out) 2025-09-07T08:06:57.7559040Z 2025-09-07T08:06:57.7559139Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:57.7559324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:06:57.7559387Z return mod(*inputs) 2025-09-07T08:06:57.7559575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T08:06:57.7559664Z x = self.forward_head(x) 2025-09-07T08:06:57.7559851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T08:06:57.7559930Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T08:06:57.7559933Z 2025-09-07T08:06:57.7560009Z cudagraph partition due to non gpu ops 2025-09-07T08:06:57.7560091Z cudagraph partition due to non gpu ops 2025-09-07T08:07:20.9928820Z pass 2025-09-07T08:07:20.9929240Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:23.1204435Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:07:23.1205352Z import pynvml # type: ignore[import] 2025-09-07T08:07:25.2871935Z 2025-09-07T08:07:28.0773255Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:28.0773586Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:07:28.0774200Z cpu eval xcit_large_24_p8_224 2025-09-07T08:07:47.1590333Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:48.0537763Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:48.9398635Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:29.1795730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1796150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1796477Z return mod(*inputs) 2025-09-07T08:08:29.1796799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1797116Z x = self.forward_features(x) 2025-09-07T08:08:29.1797462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1797807Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1798115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1798414Z x = self.proj(x) 2025-09-07T08:08:29.1798513Z 2025-09-07T08:08:29.1798595Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1798807Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1799017Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1799565Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1799772Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1800002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1800356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1800688Z return mod(*inputs) 2025-09-07T08:08:29.1800976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1801279Z x = self.forward_features(x) 2025-09-07T08:08:29.1801603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1801932Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1802230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1802516Z x = self.proj(x) 2025-09-07T08:08:29.1802617Z 2025-09-07T08:08:29.1802720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1803064Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1803370Z return mod(*inputs) 2025-09-07T08:08:29.1803713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1804064Z x = self.forward_features(x) 2025-09-07T08:08:29.1804385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1804717Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1805029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1805326Z x = self.proj(x) 2025-09-07T08:08:29.1805420Z 2025-09-07T08:08:29.1805520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1805865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1806168Z return mod(*inputs) 2025-09-07T08:08:29.1806446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1806742Z x = self.forward_features(x) 2025-09-07T08:08:29.1807067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1807402Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1807763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1808064Z x = self.proj(x) 2025-09-07T08:08:29.1808158Z 2025-09-07T08:08:29.1808257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1808604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1808914Z return mod(*inputs) 2025-09-07T08:08:29.1809207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1809520Z x = self.forward_features(x) 2025-09-07T08:08:29.1809860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1810202Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1810508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1810813Z x = self.proj(x) 2025-09-07T08:08:29.1810908Z 2025-09-07T08:08:29.1811009Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1811361Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1811677Z return mod(*inputs) 2025-09-07T08:08:29.1811967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1812269Z x = self.forward_features(x) 2025-09-07T08:08:29.1812760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1813098Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1813399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1813696Z x = self.proj(x) 2025-09-07T08:08:29.1813791Z 2025-09-07T08:08:29.1813898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1814233Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1814545Z return mod(*inputs) 2025-09-07T08:08:29.1814834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1815140Z x = self.forward_features(x) 2025-09-07T08:08:29.1815455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 522, in forward_features 2025-09-07T08:08:29.1815790Z x, (Hp, Wp) = self.patch_embed(x) 2025-09-07T08:08:29.1816090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 109, in forward 2025-09-07T08:08:29.1816398Z x = self.proj(x) 2025-09-07T08:08:29.1816499Z 2025-09-07T08:08:29.1816628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1816984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1817310Z return mod(*inputs) 2025-09-07T08:08:29.1817594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1817898Z x = self.forward_features(x) 2025-09-07T08:08:29.1818213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1818633Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1819028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 62, in forward 2025-09-07T08:08:29.1819496Z pos_y = torch.stack([pos_y[:, :, :, 0::2].sin(), pos_y[:, :, :, 1::2].cos()], dim=4).flatten(3) 2025-09-07T08:08:29.1819689Z 2025-09-07T08:08:29.1819799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1820145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1820460Z return mod(*inputs) 2025-09-07T08:08:29.1820769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1821102Z x = self.forward_features(x) 2025-09-07T08:08:29.1821434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1821842Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1822228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 61, in forward 2025-09-07T08:08:29.1822611Z pos_x = torch.stack([pos_x[:, :, :, 0::2].sin(), pos_x[:, :, :, 1::2].cos()], dim=4).flatten(3) 2025-09-07T08:08:29.1822797Z 2025-09-07T08:08:29.1822887Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1823107Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1823336Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1823681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1824003Z return mod(*inputs) 2025-09-07T08:08:29.1824286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1824584Z x = self.forward_features(x) 2025-09-07T08:08:29.1824914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1825342Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1825728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 63, in forward 2025-09-07T08:08:29.1826071Z pos = torch.cat((pos_y, pos_x), dim=3).permute(0, 3, 1, 2) 2025-09-07T08:08:29.1826230Z 2025-09-07T08:08:29.1826334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1826685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1826998Z return mod(*inputs) 2025-09-07T08:08:29.1827292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1827591Z x = self.forward_features(x) 2025-09-07T08:08:29.1827925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1828331Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1828720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 64, in forward 2025-09-07T08:08:29.1829043Z pos = self.token_projection(pos.to(dtype)) 2025-09-07T08:08:29.1829187Z 2025-09-07T08:08:29.1829290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1829650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1829981Z return mod(*inputs) 2025-09-07T08:08:29.1830264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1830579Z x = self.forward_features(x) 2025-09-07T08:08:29.1830988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1831405Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1831802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 64, in forward 2025-09-07T08:08:29.1832130Z pos = self.token_projection(pos.to(dtype)) 2025-09-07T08:08:29.1832275Z 2025-09-07T08:08:29.1832391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1832741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1833063Z return mod(*inputs) 2025-09-07T08:08:29.1833359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1833720Z x = self.forward_features(x) 2025-09-07T08:08:29.1834043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 526, in forward_features 2025-09-07T08:08:29.1834469Z pos_encoding = self.pos_embed(B, Hp, Wp).reshape(B, -1, x.shape[1]).permute(0, 2, 1) 2025-09-07T08:08:29.1834861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 64, in forward 2025-09-07T08:08:29.1835197Z pos = self.token_projection(pos.to(dtype)) 2025-09-07T08:08:29.1835338Z 2025-09-07T08:08:29.1835427Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1835641Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1835889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1836244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1836566Z return mod(*inputs) 2025-09-07T08:08:29.1836850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1837170Z x = self.forward_features(x) 2025-09-07T08:08:29.1837528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1837862Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1838141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1838533Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1838897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.1839245Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.1839401Z 2025-09-07T08:08:29.1839517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1839869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1840199Z return mod(*inputs) 2025-09-07T08:08:29.1840493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1840812Z x = self.forward_features(x) 2025-09-07T08:08:29.1841148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1841476Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1841764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1842132Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1842480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1842851Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1843050Z 2025-09-07T08:08:29.1843155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1843513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1843840Z return mod(*inputs) 2025-09-07T08:08:29.1844133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1844442Z x = self.forward_features(x) 2025-09-07T08:08:29.1844773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1845107Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1845395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1845741Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1846116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1846462Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1846611Z 2025-09-07T08:08:29.1846741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1847098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1847418Z return mod(*inputs) 2025-09-07T08:08:29.1847718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1848045Z x = self.forward_features(x) 2025-09-07T08:08:29.1848390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1848732Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1849021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1849376Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1849736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1850065Z x = attn @ v 2025-09-07T08:08:29.1850165Z 2025-09-07T08:08:29.1850274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1850639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1850968Z return mod(*inputs) 2025-09-07T08:08:29.1851265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1851588Z x = self.forward_features(x) 2025-09-07T08:08:29.1851942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1852276Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1852563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1852917Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1853260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1853567Z x = attn @ v 2025-09-07T08:08:29.1853666Z 2025-09-07T08:08:29.1853772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1854126Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1854453Z return mod(*inputs) 2025-09-07T08:08:29.1854734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1855051Z x = self.forward_features(x) 2025-09-07T08:08:29.1855385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1855728Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1856024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1856397Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1856750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.1857060Z x = self.proj(x) 2025-09-07T08:08:29.1857161Z 2025-09-07T08:08:29.1857272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1857625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1857944Z return mod(*inputs) 2025-09-07T08:08:29.1858239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1858554Z x = self.forward_features(x) 2025-09-07T08:08:29.1858882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1859223Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1859515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1859871Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1860052Z 2025-09-07T08:08:29.1860162Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1860509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1860833Z return mod(*inputs) 2025-09-07T08:08:29.1861123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1861436Z x = self.forward_features(x) 2025-09-07T08:08:29.1861771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1862106Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1862395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1862783Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1863153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1863464Z x = self.act(x) 2025-09-07T08:08:29.1863572Z 2025-09-07T08:08:29.1863677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1864035Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1864353Z return mod(*inputs) 2025-09-07T08:08:29.1864633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1865760Z x = self.forward_features(x) 2025-09-07T08:08:29.1866120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1866456Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1866749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1867122Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1867496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1867802Z x = self.act(x) 2025-09-07T08:08:29.1867896Z 2025-09-07T08:08:29.1868006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1868353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1868661Z return mod(*inputs) 2025-09-07T08:08:29.1868967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1869278Z x = self.forward_features(x) 2025-09-07T08:08:29.1869609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1869939Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1870240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1870626Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1870988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.1871292Z x = self.bn(x) 2025-09-07T08:08:29.1871387Z 2025-09-07T08:08:29.1871490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1871840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1872154Z return mod(*inputs) 2025-09-07T08:08:29.1872441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1872745Z x = self.forward_features(x) 2025-09-07T08:08:29.1873071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1873409Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1873692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1874081Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1874436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1874748Z x = self.conv2(x) 2025-09-07T08:08:29.1874855Z 2025-09-07T08:08:29.1874957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1875310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1875616Z return mod(*inputs) 2025-09-07T08:08:29.1875906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1876222Z x = self.forward_features(x) 2025-09-07T08:08:29.1876566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1876903Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1877182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1877558Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1877929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1878239Z x = self.conv2(x) 2025-09-07T08:08:29.1878337Z 2025-09-07T08:08:29.1878419Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1878639Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1878865Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1879081Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1879285Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1879500Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1879740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1880114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1880441Z return mod(*inputs) 2025-09-07T08:08:29.1880735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1881066Z x = self.forward_features(x) 2025-09-07T08:08:29.1881407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1881750Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1882035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1882403Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1882769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.1883134Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.1883289Z 2025-09-07T08:08:29.1883416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1883768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1884089Z return mod(*inputs) 2025-09-07T08:08:29.1884380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1884696Z x = self.forward_features(x) 2025-09-07T08:08:29.1885026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1885368Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1885660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1886015Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1886370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1886705Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1886867Z 2025-09-07T08:08:29.1886971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1887351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1887676Z return mod(*inputs) 2025-09-07T08:08:29.1887964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1888271Z x = self.forward_features(x) 2025-09-07T08:08:29.1888608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1888940Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1889233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1889577Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1889928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1890269Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1890423Z 2025-09-07T08:08:29.1890537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1890894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1891222Z return mod(*inputs) 2025-09-07T08:08:29.1891509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1891823Z x = self.forward_features(x) 2025-09-07T08:08:29.1892171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1892503Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1892789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1893144Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1893497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1893802Z x = attn @ v 2025-09-07T08:08:29.1893895Z 2025-09-07T08:08:29.1894001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1894359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1894679Z return mod(*inputs) 2025-09-07T08:08:29.1894963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1895272Z x = self.forward_features(x) 2025-09-07T08:08:29.1895609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1895939Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1896259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1896625Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1896969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1897273Z x = attn @ v 2025-09-07T08:08:29.1897373Z 2025-09-07T08:08:29.1897476Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1897831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1898140Z return mod(*inputs) 2025-09-07T08:08:29.1898429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1898740Z x = self.forward_features(x) 2025-09-07T08:08:29.1899074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1899407Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1899696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1900054Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1900427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.1900739Z x = self.proj(x) 2025-09-07T08:08:29.1900842Z 2025-09-07T08:08:29.1900946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1901311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1901636Z return mod(*inputs) 2025-09-07T08:08:29.1901928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1902243Z x = self.forward_features(x) 2025-09-07T08:08:29.1902575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1902912Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1903202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1903576Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1903945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1904254Z x = self.act(x) 2025-09-07T08:08:29.1904363Z 2025-09-07T08:08:29.1904467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1904829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1905170Z return mod(*inputs) 2025-09-07T08:08:29.1905449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1905761Z x = self.forward_features(x) 2025-09-07T08:08:29.1906097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1906432Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1906707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1907077Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1907441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1907747Z x = self.act(x) 2025-09-07T08:08:29.1907843Z 2025-09-07T08:08:29.1907951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1908298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1908613Z return mod(*inputs) 2025-09-07T08:08:29.1908900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1909213Z x = self.forward_features(x) 2025-09-07T08:08:29.1909551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1909895Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1910181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1910544Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1910910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.1911206Z x = self.bn(x) 2025-09-07T08:08:29.1911310Z 2025-09-07T08:08:29.1911412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1911765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1912082Z return mod(*inputs) 2025-09-07T08:08:29.1912359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1912667Z x = self.forward_features(x) 2025-09-07T08:08:29.1913001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1913351Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1913633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1913993Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1914352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1914653Z x = self.conv2(x) 2025-09-07T08:08:29.1914750Z 2025-09-07T08:08:29.1914861Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1915208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1915525Z return mod(*inputs) 2025-09-07T08:08:29.1915810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1916123Z x = self.forward_features(x) 2025-09-07T08:08:29.1916452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1916782Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1917066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1917432Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1917795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1918111Z x = self.conv2(x) 2025-09-07T08:08:29.1918217Z 2025-09-07T08:08:29.1918299Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1918518Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1918729Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1918938Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1919142Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1919351Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1919583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1919940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1920252Z return mod(*inputs) 2025-09-07T08:08:29.1920541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1920856Z x = self.forward_features(x) 2025-09-07T08:08:29.1921191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1921517Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1921805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1922162Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1922523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.1922879Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.1923031Z 2025-09-07T08:08:29.1923133Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1923488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1923808Z return mod(*inputs) 2025-09-07T08:08:29.1924097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1924405Z x = self.forward_features(x) 2025-09-07T08:08:29.1924742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1925073Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1925359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1925716Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1926058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1926416Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1926575Z 2025-09-07T08:08:29.1926674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1927032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1927344Z return mod(*inputs) 2025-09-07T08:08:29.1927632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1927951Z x = self.forward_features(x) 2025-09-07T08:08:29.1928284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1928622Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1928903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1929259Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1929615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1929954Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1930105Z 2025-09-07T08:08:29.1930214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1930567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1930939Z return mod(*inputs) 2025-09-07T08:08:29.1931264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1931583Z x = self.forward_features(x) 2025-09-07T08:08:29.1931919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1932266Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1932558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1932915Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1933267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1933567Z x = attn @ v 2025-09-07T08:08:29.1933670Z 2025-09-07T08:08:29.1933774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1934134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1934466Z return mod(*inputs) 2025-09-07T08:08:29.1934749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1935071Z x = self.forward_features(x) 2025-09-07T08:08:29.1935436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1935801Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1936081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1936433Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1936782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1937084Z x = attn @ v 2025-09-07T08:08:29.1937177Z 2025-09-07T08:08:29.1937285Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1937633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1937948Z return mod(*inputs) 2025-09-07T08:08:29.1938236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1938553Z x = self.forward_features(x) 2025-09-07T08:08:29.1938878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1939216Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1939525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1939876Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1940226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.1940527Z x = self.proj(x) 2025-09-07T08:08:29.1940634Z 2025-09-07T08:08:29.1940738Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1941092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1941408Z return mod(*inputs) 2025-09-07T08:08:29.1941698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1942007Z x = self.forward_features(x) 2025-09-07T08:08:29.1942337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1942679Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1942962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1943320Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1943684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1943984Z x = self.act(x) 2025-09-07T08:08:29.1944081Z 2025-09-07T08:08:29.1944241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1944594Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1944904Z return mod(*inputs) 2025-09-07T08:08:29.1945197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1945513Z x = self.forward_features(x) 2025-09-07T08:08:29.1945853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1946172Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1946447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1946804Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1947162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.1947461Z x = self.act(x) 2025-09-07T08:08:29.1947558Z 2025-09-07T08:08:29.1947660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1948008Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1948320Z return mod(*inputs) 2025-09-07T08:08:29.1948617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1948943Z x = self.forward_features(x) 2025-09-07T08:08:29.1949282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1949614Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1949893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1950257Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1950607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.1950911Z x = self.bn(x) 2025-09-07T08:08:29.1951006Z 2025-09-07T08:08:29.1951118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1951472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1951785Z return mod(*inputs) 2025-09-07T08:08:29.1952072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1952393Z x = self.forward_features(x) 2025-09-07T08:08:29.1952718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1953046Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1953315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1953668Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1954025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1954323Z x = self.conv2(x) 2025-09-07T08:08:29.1954418Z 2025-09-07T08:08:29.1954514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1954859Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1955172Z return mod(*inputs) 2025-09-07T08:08:29.1955452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1955756Z x = self.forward_features(x) 2025-09-07T08:08:29.1956073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1956393Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1956665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.1957036Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.1957383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.1957683Z x = self.conv2(x) 2025-09-07T08:08:29.1957785Z 2025-09-07T08:08:29.1957865Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1958075Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1958280Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1958473Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1958672Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1958872Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.1959095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1959432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1959739Z return mod(*inputs) 2025-09-07T08:08:29.1960023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1960329Z x = self.forward_features(x) 2025-09-07T08:08:29.1960641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1960966Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1961265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1962052Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1962398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.1962723Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.1962877Z 2025-09-07T08:08:29.1962980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1963339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1963658Z return mod(*inputs) 2025-09-07T08:08:29.1963940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1964253Z x = self.forward_features(x) 2025-09-07T08:08:29.1964581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1964914Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1965191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1965556Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1965903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1966240Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1966385Z 2025-09-07T08:08:29.1966495Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1966839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1967155Z return mod(*inputs) 2025-09-07T08:08:29.1967437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1967746Z x = self.forward_features(x) 2025-09-07T08:08:29.1968078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1968402Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1968682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1969033Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1969375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.1969700Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.1969853Z 2025-09-07T08:08:29.1969952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1970310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1970624Z return mod(*inputs) 2025-09-07T08:08:29.1970904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1971202Z x = self.forward_features(x) 2025-09-07T08:08:29.1971529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1971852Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1972130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1972464Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1972802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.1973095Z x = attn @ v 2025-09-07T08:08:29.1973184Z 2025-09-07T08:08:29.1973296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.1973645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.1973950Z return mod(*inputs) 2025-09-07T08:08:29.1974249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.1974575Z x = self.forward_features(x) 2025-09-07T08:08:29.1974895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.1975224Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.1975502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.1975845Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.1976184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2003893Z x = attn @ v 2025-09-07T08:08:29.2004035Z 2025-09-07T08:08:29.2004173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2004576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2004931Z return mod(*inputs) 2025-09-07T08:08:29.2005268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2005613Z x = self.forward_features(x) 2025-09-07T08:08:29.2006048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2006405Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2006711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2007081Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2007452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2007774Z x = self.proj(x) 2025-09-07T08:08:29.2007882Z 2025-09-07T08:08:29.2008003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2008382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2008713Z return mod(*inputs) 2025-09-07T08:08:29.2009022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2009346Z x = self.forward_features(x) 2025-09-07T08:08:29.2009696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2010029Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2010324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2010712Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2011125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2011437Z x = self.act(x) 2025-09-07T08:08:29.2011535Z 2025-09-07T08:08:29.2011642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2012004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2012328Z return mod(*inputs) 2025-09-07T08:08:29.2012622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2012939Z x = self.forward_features(x) 2025-09-07T08:08:29.2013746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2014084Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2014373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2014745Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2015110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2015423Z x = self.act(x) 2025-09-07T08:08:29.2015531Z 2025-09-07T08:08:29.2015637Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2016030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2016377Z return mod(*inputs) 2025-09-07T08:08:29.2016661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2016974Z x = self.forward_features(x) 2025-09-07T08:08:29.2017311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2017646Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2017926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2018297Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2018666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2018973Z x = self.bn(x) 2025-09-07T08:08:29.2019068Z 2025-09-07T08:08:29.2019182Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2019536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2019891Z return mod(*inputs) 2025-09-07T08:08:29.2020180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2020496Z x = self.forward_features(x) 2025-09-07T08:08:29.2020821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2021156Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2021441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2021811Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2022178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2022478Z x = self.conv2(x) 2025-09-07T08:08:29.2022584Z 2025-09-07T08:08:29.2022687Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2023042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2023360Z return mod(*inputs) 2025-09-07T08:08:29.2023643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2023958Z x = self.forward_features(x) 2025-09-07T08:08:29.2024290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2024623Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2024928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2025284Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2025657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2025973Z x = self.conv2(x) 2025-09-07T08:08:29.2026070Z 2025-09-07T08:08:29.2026165Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2026384Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2026597Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2026805Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2027012Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2027209Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2027446Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2027803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2028124Z return mod(*inputs) 2025-09-07T08:08:29.2028416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2028723Z x = self.forward_features(x) 2025-09-07T08:08:29.2029078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2029433Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2029719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2030067Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2030421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2030763Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2030970Z 2025-09-07T08:08:29.2031083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2031439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2031752Z return mod(*inputs) 2025-09-07T08:08:29.2032047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2032370Z x = self.forward_features(x) 2025-09-07T08:08:29.2032710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2033087Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2033382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2033746Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2034107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2034454Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2034614Z 2025-09-07T08:08:29.2034723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2035094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2035422Z return mod(*inputs) 2025-09-07T08:08:29.2035721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2036045Z x = self.forward_features(x) 2025-09-07T08:08:29.2036394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2036730Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2037015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2037366Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2037705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2038063Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2038219Z 2025-09-07T08:08:29.2038320Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2038667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2038986Z return mod(*inputs) 2025-09-07T08:08:29.2039267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2039573Z x = self.forward_features(x) 2025-09-07T08:08:29.2039903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2040233Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2040506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2040850Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2041190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2041486Z x = attn @ v 2025-09-07T08:08:29.2041577Z 2025-09-07T08:08:29.2041688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2042047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2042376Z return mod(*inputs) 2025-09-07T08:08:29.2042661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2042968Z x = self.forward_features(x) 2025-09-07T08:08:29.2043289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2043613Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2043891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2044235Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2044568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2044856Z x = attn @ v 2025-09-07T08:08:29.2044953Z 2025-09-07T08:08:29.2045053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2045401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2045708Z return mod(*inputs) 2025-09-07T08:08:29.2046014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2046318Z x = self.forward_features(x) 2025-09-07T08:08:29.2046644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2046962Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2047242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2047587Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2047925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2048217Z x = self.proj(x) 2025-09-07T08:08:29.2048321Z 2025-09-07T08:08:29.2048422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2048769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2049078Z return mod(*inputs) 2025-09-07T08:08:29.2049358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2049657Z x = self.forward_features(x) 2025-09-07T08:08:29.2049977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2050301Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2050594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2050951Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2051318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2051619Z x = self.act(x) 2025-09-07T08:08:29.2051717Z 2025-09-07T08:08:29.2051832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2052182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2052493Z return mod(*inputs) 2025-09-07T08:08:29.2052780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2053098Z x = self.forward_features(x) 2025-09-07T08:08:29.2053419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2053734Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2054016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2054368Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2054740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2055030Z x = self.act(x) 2025-09-07T08:08:29.2055139Z 2025-09-07T08:08:29.2055240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2055586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2055890Z return mod(*inputs) 2025-09-07T08:08:29.2056169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2056465Z x = self.forward_features(x) 2025-09-07T08:08:29.2056785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2057104Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2057380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2057727Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2058074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2058371Z x = self.bn(x) 2025-09-07T08:08:29.2058470Z 2025-09-07T08:08:29.2058586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2058933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2059236Z return mod(*inputs) 2025-09-07T08:08:29.2059512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2059817Z x = self.forward_features(x) 2025-09-07T08:08:29.2060140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2060463Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2060734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2061088Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2061445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2061742Z x = self.conv2(x) 2025-09-07T08:08:29.2061836Z 2025-09-07T08:08:29.2061934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2062277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2062587Z return mod(*inputs) 2025-09-07T08:08:29.2062869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2063174Z x = self.forward_features(x) 2025-09-07T08:08:29.2063503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2063828Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2064109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2064468Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2064829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2065134Z x = self.conv2(x) 2025-09-07T08:08:29.2065237Z 2025-09-07T08:08:29.2065318Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2065532Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2065745Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2065944Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2066144Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2066347Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2066573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2066917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2067232Z return mod(*inputs) 2025-09-07T08:08:29.2067535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2067866Z x = self.forward_features(x) 2025-09-07T08:08:29.2068184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2068505Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2068780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2069126Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2069465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2069785Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2069937Z 2025-09-07T08:08:29.2070037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2070378Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2070690Z return mod(*inputs) 2025-09-07T08:08:29.2070970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2071300Z x = self.forward_features(x) 2025-09-07T08:08:29.2071628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2071957Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2072238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2072577Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2072923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2073259Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2073408Z 2025-09-07T08:08:29.2073518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2073856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2074169Z return mod(*inputs) 2025-09-07T08:08:29.2074451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2074768Z x = self.forward_features(x) 2025-09-07T08:08:29.2075094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2075413Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2075693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2076061Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2076404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2076726Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2076882Z 2025-09-07T08:08:29.2076984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2077347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2077658Z return mod(*inputs) 2025-09-07T08:08:29.2077940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2078252Z x = self.forward_features(x) 2025-09-07T08:08:29.2078578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2078900Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2079182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2079526Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2079868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2080169Z x = attn @ v 2025-09-07T08:08:29.2080278Z 2025-09-07T08:08:29.2080400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2080750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2081067Z return mod(*inputs) 2025-09-07T08:08:29.2081351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2081654Z x = self.forward_features(x) 2025-09-07T08:08:29.2081983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2082315Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2082599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2082939Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2083274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2083572Z x = attn @ v 2025-09-07T08:08:29.2083671Z 2025-09-07T08:08:29.2083772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2084135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2084443Z return mod(*inputs) 2025-09-07T08:08:29.2084725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2085028Z x = self.forward_features(x) 2025-09-07T08:08:29.2085354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2085683Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2085957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2086298Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2086640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2086940Z x = self.proj(x) 2025-09-07T08:08:29.2087037Z 2025-09-07T08:08:29.2087137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2087488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2087803Z return mod(*inputs) 2025-09-07T08:08:29.2088085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2088388Z x = self.forward_features(x) 2025-09-07T08:08:29.2088905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2089237Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2089516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2089881Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2090238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2090542Z x = self.act(x) 2025-09-07T08:08:29.2090646Z 2025-09-07T08:08:29.2090748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2091098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2091408Z return mod(*inputs) 2025-09-07T08:08:29.2091684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2091995Z x = self.forward_features(x) 2025-09-07T08:08:29.2092318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2092640Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2092909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2093288Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2093682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2093980Z x = self.act(x) 2025-09-07T08:08:29.2094072Z 2025-09-07T08:08:29.2094173Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2094514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2094819Z return mod(*inputs) 2025-09-07T08:08:29.2095100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2095402Z x = self.forward_features(x) 2025-09-07T08:08:29.2095719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2096039Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2096316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2096673Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2097023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2097332Z x = self.bn(x) 2025-09-07T08:08:29.2097431Z 2025-09-07T08:08:29.2097529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2097869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2098177Z return mod(*inputs) 2025-09-07T08:08:29.2098448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2098755Z x = self.forward_features(x) 2025-09-07T08:08:29.2099079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2099399Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2099667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2100021Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2100374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2100668Z x = self.conv2(x) 2025-09-07T08:08:29.2100761Z 2025-09-07T08:08:29.2100867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2101200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2101511Z return mod(*inputs) 2025-09-07T08:08:29.2101807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2102107Z x = self.forward_features(x) 2025-09-07T08:08:29.2102422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2102744Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2103024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2103379Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2103734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2104023Z x = self.conv2(x) 2025-09-07T08:08:29.2104124Z 2025-09-07T08:08:29.2104206Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2104415Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2104619Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2104814Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2105018Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2105216Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2105438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2105791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2106117Z return mod(*inputs) 2025-09-07T08:08:29.2106404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2106715Z x = self.forward_features(x) 2025-09-07T08:08:29.2107038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2107354Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2107630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2107976Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2108316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2108640Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2108794Z 2025-09-07T08:08:29.2108893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2109238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2109561Z return mod(*inputs) 2025-09-07T08:08:29.2109842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2110137Z x = self.forward_features(x) 2025-09-07T08:08:29.2110456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2110776Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2111050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2111383Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2111718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2112044Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2112189Z 2025-09-07T08:08:29.2112297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2112640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2112940Z return mod(*inputs) 2025-09-07T08:08:29.2113217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2113518Z x = self.forward_features(x) 2025-09-07T08:08:29.2113833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2114162Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2114429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2114772Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2115113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2115440Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2115583Z 2025-09-07T08:08:29.2115682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2116029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2116334Z return mod(*inputs) 2025-09-07T08:08:29.2116610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2116908Z x = self.forward_features(x) 2025-09-07T08:08:29.2117227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2117549Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2117825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2118187Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2118518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2118831Z x = attn @ v 2025-09-07T08:08:29.2118929Z 2025-09-07T08:08:29.2119028Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2119375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2119687Z return mod(*inputs) 2025-09-07T08:08:29.2119956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2120259Z x = self.forward_features(x) 2025-09-07T08:08:29.2120583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2120905Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2121176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2121520Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2121862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2122171Z x = attn @ v 2025-09-07T08:08:29.2122260Z 2025-09-07T08:08:29.2122364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2122703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2123013Z return mod(*inputs) 2025-09-07T08:08:29.2123292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2123600Z x = self.forward_features(x) 2025-09-07T08:08:29.2123919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2124247Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2124530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2124874Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2125222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2125515Z x = self.proj(x) 2025-09-07T08:08:29.2125620Z 2025-09-07T08:08:29.2125720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2126070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2126380Z return mod(*inputs) 2025-09-07T08:08:29.2126672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2126974Z x = self.forward_features(x) 2025-09-07T08:08:29.2127296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2127618Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2127893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2128245Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2128602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2128898Z x = self.act(x) 2025-09-07T08:08:29.2128989Z 2025-09-07T08:08:29.2129096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2129436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2129747Z return mod(*inputs) 2025-09-07T08:08:29.2130027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2130333Z x = self.forward_features(x) 2025-09-07T08:08:29.2130659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2131059Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2131372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2131751Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2132120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2132426Z x = self.act(x) 2025-09-07T08:08:29.2132525Z 2025-09-07T08:08:29.2132625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2132976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2133301Z return mod(*inputs) 2025-09-07T08:08:29.2133593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2133900Z x = self.forward_features(x) 2025-09-07T08:08:29.2134236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2134574Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2134862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2135251Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2135621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2135925Z x = self.bn(x) 2025-09-07T08:08:29.2136019Z 2025-09-07T08:08:29.2136127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2136486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2136800Z return mod(*inputs) 2025-09-07T08:08:29.2137087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2137400Z x = self.forward_features(x) 2025-09-07T08:08:29.2137740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2138067Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2138359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2138725Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2139093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2139400Z x = self.conv2(x) 2025-09-07T08:08:29.2139498Z 2025-09-07T08:08:29.2139599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2140015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2140316Z return mod(*inputs) 2025-09-07T08:08:29.2140589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2140877Z x = self.forward_features(x) 2025-09-07T08:08:29.2141192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2141506Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2141770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2142109Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2142440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2142730Z x = self.conv2(x) 2025-09-07T08:08:29.2142827Z 2025-09-07T08:08:29.2142904Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2143106Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2143298Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2143494Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2143701Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2143895Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2144126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2144321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2144381Z return mod(*inputs) 2025-09-07T08:08:29.2144558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2144626Z x = self.forward_features(x) 2025-09-07T08:08:29.2144825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2144893Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2145064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2145177Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2145348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2145448Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2145452Z 2025-09-07T08:08:29.2145565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2145749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2145820Z return mod(*inputs) 2025-09-07T08:08:29.2145987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2146063Z x = self.forward_features(x) 2025-09-07T08:08:29.2146264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2146323Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2146499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2146605Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2146781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2146875Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2146880Z 2025-09-07T08:08:29.2146974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2147162Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2147226Z return mod(*inputs) 2025-09-07T08:08:29.2147401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2147485Z x = self.forward_features(x) 2025-09-07T08:08:29.2147694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2147753Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2147925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2148044Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2148216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2148317Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2148321Z 2025-09-07T08:08:29.2148415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2148595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2148666Z return mod(*inputs) 2025-09-07T08:08:29.2148835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2148906Z x = self.forward_features(x) 2025-09-07T08:08:29.2149098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2149156Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2149348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2149464Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2149640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2149696Z x = attn @ v 2025-09-07T08:08:29.2149699Z 2025-09-07T08:08:29.2149800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2149980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2150043Z return mod(*inputs) 2025-09-07T08:08:29.2150217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2150284Z x = self.forward_features(x) 2025-09-07T08:08:29.2150485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2150546Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2150716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2150852Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2151017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2151081Z x = attn @ v 2025-09-07T08:08:29.2151084Z 2025-09-07T08:08:29.2151178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2151358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2151429Z return mod(*inputs) 2025-09-07T08:08:29.2151595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2151665Z x = self.forward_features(x) 2025-09-07T08:08:29.2151860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2151924Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2152101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2152203Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2152370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2152430Z x = self.proj(x) 2025-09-07T08:08:29.2152433Z 2025-09-07T08:08:29.2152535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2152734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2152796Z return mod(*inputs) 2025-09-07T08:08:29.2152974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2153037Z x = self.forward_features(x) 2025-09-07T08:08:29.2153241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2153302Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2153473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2153594Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2153764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2153828Z x = self.act(x) 2025-09-07T08:08:29.2153831Z 2025-09-07T08:08:29.2153928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2154112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2154179Z return mod(*inputs) 2025-09-07T08:08:29.2154349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2154436Z x = self.forward_features(x) 2025-09-07T08:08:29.2154645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2154705Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2154878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2154995Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2155166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2155224Z x = self.act(x) 2025-09-07T08:08:29.2155227Z 2025-09-07T08:08:29.2155328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2155508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2155565Z return mod(*inputs) 2025-09-07T08:08:29.2155740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2155807Z x = self.forward_features(x) 2025-09-07T08:08:29.2156008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2156084Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2156254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2156376Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2156545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2156610Z x = self.bn(x) 2025-09-07T08:08:29.2156615Z 2025-09-07T08:08:29.2156709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2156892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2156957Z return mod(*inputs) 2025-09-07T08:08:29.2157130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2157206Z x = self.forward_features(x) 2025-09-07T08:08:29.2157406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2157464Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2157642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2157757Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2157964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2158024Z x = self.conv2(x) 2025-09-07T08:08:29.2158027Z 2025-09-07T08:08:29.2158131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2158313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2158377Z return mod(*inputs) 2025-09-07T08:08:29.2158553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2158623Z x = self.forward_features(x) 2025-09-07T08:08:29.2158826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2158887Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2159054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2159177Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2159343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2159411Z x = self.conv2(x) 2025-09-07T08:08:29.2159414Z 2025-09-07T08:08:29.2159490Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2159566Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2159662Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2159755Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2159831Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2159905Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2160001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2160187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2160248Z return mod(*inputs) 2025-09-07T08:08:29.2160425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2160494Z x = self.forward_features(x) 2025-09-07T08:08:29.2160688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2160755Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2160925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2161037Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2161207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2161316Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2161322Z 2025-09-07T08:08:29.2161416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2161597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2161666Z return mod(*inputs) 2025-09-07T08:08:29.2161840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2161916Z x = self.forward_features(x) 2025-09-07T08:08:29.2162115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2162174Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2162353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2162460Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2162638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2162729Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2162732Z 2025-09-07T08:08:29.2162824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2163013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2163088Z return mod(*inputs) 2025-09-07T08:08:29.2163260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2163326Z x = self.forward_features(x) 2025-09-07T08:08:29.2163524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2163591Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2163760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2163871Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2164038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2164134Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2164137Z 2025-09-07T08:08:29.2164232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2164412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2164480Z return mod(*inputs) 2025-09-07T08:08:29.2164650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2164724Z x = self.forward_features(x) 2025-09-07T08:08:29.2164929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2165002Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2165180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2165280Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2165452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2165510Z x = attn @ v 2025-09-07T08:08:29.2165513Z 2025-09-07T08:08:29.2165603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2165791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2165851Z return mod(*inputs) 2025-09-07T08:08:29.2166028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2166094Z x = self.forward_features(x) 2025-09-07T08:08:29.2166296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2166372Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2166543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2166655Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2166826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2166886Z x = attn @ v 2025-09-07T08:08:29.2166888Z 2025-09-07T08:08:29.2166984Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2167168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2167236Z return mod(*inputs) 2025-09-07T08:08:29.2167410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2167485Z x = self.forward_features(x) 2025-09-07T08:08:29.2167686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2167747Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2167928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2168028Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2168211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2168273Z x = self.proj(x) 2025-09-07T08:08:29.2168290Z 2025-09-07T08:08:29.2168387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2168572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2168634Z return mod(*inputs) 2025-09-07T08:08:29.2168814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2168882Z x = self.forward_features(x) 2025-09-07T08:08:29.2169088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2169148Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2169314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2169441Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2169612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2169679Z x = self.act(x) 2025-09-07T08:08:29.2169682Z 2025-09-07T08:08:29.2169777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2169956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2170046Z return mod(*inputs) 2025-09-07T08:08:29.2170232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2170309Z x = self.forward_features(x) 2025-09-07T08:08:29.2170510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2170570Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2170751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2170869Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2171046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2171104Z x = self.act(x) 2025-09-07T08:08:29.2171107Z 2025-09-07T08:08:29.2171210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2171389Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2171454Z return mod(*inputs) 2025-09-07T08:08:29.2171625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2171717Z x = self.forward_features(x) 2025-09-07T08:08:29.2171917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2171975Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2172144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2172269Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2172438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2172503Z x = self.bn(x) 2025-09-07T08:08:29.2172506Z 2025-09-07T08:08:29.2172599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2172781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2172851Z return mod(*inputs) 2025-09-07T08:08:29.2173023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2173099Z x = self.forward_features(x) 2025-09-07T08:08:29.2173296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2173356Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2173535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2173667Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2173845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2173904Z x = self.conv2(x) 2025-09-07T08:08:29.2173907Z 2025-09-07T08:08:29.2174007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2174189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2174247Z return mod(*inputs) 2025-09-07T08:08:29.2174422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2174489Z x = self.forward_features(x) 2025-09-07T08:08:29.2174692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2174753Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2174922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2175043Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2175211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2175292Z x = self.conv2(x) 2025-09-07T08:08:29.2175310Z 2025-09-07T08:08:29.2175387Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175459Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175542Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175613Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175691Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175764Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2175857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2176036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2176098Z return mod(*inputs) 2025-09-07T08:08:29.2176272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2176337Z x = self.forward_features(x) 2025-09-07T08:08:29.2176534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2176603Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2176773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2176900Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2177069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2177160Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2177170Z 2025-09-07T08:08:29.2177264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2177450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2177517Z return mod(*inputs) 2025-09-07T08:08:29.2177682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2177755Z x = self.forward_features(x) 2025-09-07T08:08:29.2177953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2178014Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2178191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2178289Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2178466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2178555Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2178558Z 2025-09-07T08:08:29.2178669Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2178856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2178917Z return mod(*inputs) 2025-09-07T08:08:29.2179097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2179166Z x = self.forward_features(x) 2025-09-07T08:08:29.2179363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2179432Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2179601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2179712Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2179882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2179981Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2179986Z 2025-09-07T08:08:29.2180081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2180264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2180333Z return mod(*inputs) 2025-09-07T08:08:29.2180520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2180606Z x = self.forward_features(x) 2025-09-07T08:08:29.2180805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2180866Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2181044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2181144Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2181317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2181376Z x = attn @ v 2025-09-07T08:08:29.2181379Z 2025-09-07T08:08:29.2181475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2181665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2181726Z return mod(*inputs) 2025-09-07T08:08:29.2181898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2181981Z x = self.forward_features(x) 2025-09-07T08:08:29.2182177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2182244Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2182417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2182523Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2182691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2182753Z x = attn @ v 2025-09-07T08:08:29.2182756Z 2025-09-07T08:08:29.2182850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2183032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2183103Z return mod(*inputs) 2025-09-07T08:08:29.2183272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2183345Z x = self.forward_features(x) 2025-09-07T08:08:29.2183538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2183598Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2183773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2183874Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2184063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2184124Z x = self.proj(x) 2025-09-07T08:08:29.2184128Z 2025-09-07T08:08:29.2184219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2184410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2184473Z return mod(*inputs) 2025-09-07T08:08:29.2184653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2184718Z x = self.forward_features(x) 2025-09-07T08:08:29.2184910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2184977Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2185145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2185275Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2185445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2185508Z x = self.act(x) 2025-09-07T08:08:29.2185511Z 2025-09-07T08:08:29.2185622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2185818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2185890Z return mod(*inputs) 2025-09-07T08:08:29.2186065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2186137Z x = self.forward_features(x) 2025-09-07T08:08:29.2186336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2186391Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2186571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2186689Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2186866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2186928Z x = self.act(x) 2025-09-07T08:08:29.2186931Z 2025-09-07T08:08:29.2187027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2187220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2187300Z return mod(*inputs) 2025-09-07T08:08:29.2187478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2187544Z x = self.forward_features(x) 2025-09-07T08:08:29.2187752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2187809Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2187981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2188104Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2188280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2188348Z x = self.bn(x) 2025-09-07T08:08:29.2188351Z 2025-09-07T08:08:29.2188443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2188627Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2188696Z return mod(*inputs) 2025-09-07T08:08:29.2188869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2188941Z x = self.forward_features(x) 2025-09-07T08:08:29.2189144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2189220Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2189399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2189516Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2189691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2189754Z x = self.conv2(x) 2025-09-07T08:08:29.2189758Z 2025-09-07T08:08:29.2189853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2190039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2190100Z return mod(*inputs) 2025-09-07T08:08:29.2190277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2190343Z x = self.forward_features(x) 2025-09-07T08:08:29.2190547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2190605Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2190773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2190914Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2191104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2191170Z x = self.conv2(x) 2025-09-07T08:08:29.2191173Z 2025-09-07T08:08:29.2191250Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191328Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191408Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191482Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191559Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191631Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2191728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2191914Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2191975Z return mod(*inputs) 2025-09-07T08:08:29.2192153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2192221Z x = self.forward_features(x) 2025-09-07T08:08:29.2192418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2192504Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2192675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2192785Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2192953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2193044Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2193048Z 2025-09-07T08:08:29.2193156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2193340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2193411Z return mod(*inputs) 2025-09-07T08:08:29.2193584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2193653Z x = self.forward_features(x) 2025-09-07T08:08:29.2193860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2193921Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2194097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2194200Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2194393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2194486Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2194489Z 2025-09-07T08:08:29.2194586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2194782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2194846Z return mod(*inputs) 2025-09-07T08:08:29.2195022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2195090Z x = self.forward_features(x) 2025-09-07T08:08:29.2195284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2195355Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2195525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2195634Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2195807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2195897Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2195907Z 2025-09-07T08:08:29.2196004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2196202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2196287Z return mod(*inputs) 2025-09-07T08:08:29.2196459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2196533Z x = self.forward_features(x) 2025-09-07T08:08:29.2196729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2196790Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2196974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2197078Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2197256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2197313Z x = attn @ v 2025-09-07T08:08:29.2197316Z 2025-09-07T08:08:29.2197411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2197603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2197680Z return mod(*inputs) 2025-09-07T08:08:29.2197859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2197926Z x = self.forward_features(x) 2025-09-07T08:08:29.2198127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2198194Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2198364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2198472Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2198640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2198696Z x = attn @ v 2025-09-07T08:08:29.2198710Z 2025-09-07T08:08:29.2198807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2198991Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2199062Z return mod(*inputs) 2025-09-07T08:08:29.2199231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2199305Z x = self.forward_features(x) 2025-09-07T08:08:29.2199506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2199565Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2199762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2199866Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2200044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2200106Z x = self.proj(x) 2025-09-07T08:08:29.2200110Z 2025-09-07T08:08:29.2200207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2200396Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2200457Z return mod(*inputs) 2025-09-07T08:08:29.2200628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2200694Z x = self.forward_features(x) 2025-09-07T08:08:29.2200889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2200957Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2201126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2201254Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2201438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2201541Z x = self.act(x) 2025-09-07T08:08:29.2201544Z 2025-09-07T08:08:29.2201641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2201823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2201892Z return mod(*inputs) 2025-09-07T08:08:29.2202065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2202140Z x = self.forward_features(x) 2025-09-07T08:08:29.2202337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2202397Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2202571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2202692Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2202874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2202950Z x = self.act(x) 2025-09-07T08:08:29.2202953Z 2025-09-07T08:08:29.2203050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2203238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2203301Z return mod(*inputs) 2025-09-07T08:08:29.2203478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2203544Z x = self.forward_features(x) 2025-09-07T08:08:29.2203747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2203815Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2203986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2204117Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2204291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2204361Z x = self.bn(x) 2025-09-07T08:08:29.2204364Z 2025-09-07T08:08:29.2204463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2204645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2204715Z return mod(*inputs) 2025-09-07T08:08:29.2204888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2204971Z x = self.forward_features(x) 2025-09-07T08:08:29.2205168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2205229Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2205408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2205528Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2205710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2205770Z x = self.conv2(x) 2025-09-07T08:08:29.2205773Z 2025-09-07T08:08:29.2205869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2206059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2206122Z return mod(*inputs) 2025-09-07T08:08:29.2206302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2206369Z x = self.forward_features(x) 2025-09-07T08:08:29.2206567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2206634Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2206822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2206968Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2207140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2207205Z x = self.conv2(x) 2025-09-07T08:08:29.2207208Z 2025-09-07T08:08:29.2207285Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207362Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207447Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207520Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207602Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207673Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2207768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2207959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2208021Z return mod(*inputs) 2025-09-07T08:08:29.2208197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2208280Z x = self.forward_features(x) 2025-09-07T08:08:29.2208475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2208538Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2208707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2208821Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2208989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2209079Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2209082Z 2025-09-07T08:08:29.2209185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2209368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2209436Z return mod(*inputs) 2025-09-07T08:08:29.2209609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2209675Z x = self.forward_features(x) 2025-09-07T08:08:29.2209876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2209935Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2210108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2210224Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2210402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2210489Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2210494Z 2025-09-07T08:08:29.2210589Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2210782Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2210845Z return mod(*inputs) 2025-09-07T08:08:29.2211024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2211090Z x = self.forward_features(x) 2025-09-07T08:08:29.2211290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2211358Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2211529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2211636Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2211806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2211919Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2211943Z 2025-09-07T08:08:29.2212039Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2212223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2212292Z return mod(*inputs) 2025-09-07T08:08:29.2212459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2212529Z x = self.forward_features(x) 2025-09-07T08:08:29.2212728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2212784Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2212958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2213055Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2213233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2213293Z x = attn @ v 2025-09-07T08:08:29.2213296Z 2025-09-07T08:08:29.2213401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2213590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2213653Z return mod(*inputs) 2025-09-07T08:08:29.2213830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2213898Z x = self.forward_features(x) 2025-09-07T08:08:29.2214096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2214163Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2214331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2214441Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2214609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2214667Z x = attn @ v 2025-09-07T08:08:29.2214681Z 2025-09-07T08:08:29.2214775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2214957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2215025Z return mod(*inputs) 2025-09-07T08:08:29.2215193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2215265Z x = self.forward_features(x) 2025-09-07T08:08:29.2215473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2215535Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2215705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2215805Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2215982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2216041Z x = self.proj(x) 2025-09-07T08:08:29.2216044Z 2025-09-07T08:08:29.2216138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2216324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2216381Z return mod(*inputs) 2025-09-07T08:08:29.2216553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2216622Z x = self.forward_features(x) 2025-09-07T08:08:29.2216818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2216885Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2217067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2217210Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2217381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2217442Z x = self.act(x) 2025-09-07T08:08:29.2217452Z 2025-09-07T08:08:29.2217549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2217727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2217795Z return mod(*inputs) 2025-09-07T08:08:29.2217966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2218039Z x = self.forward_features(x) 2025-09-07T08:08:29.2218231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2218289Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2218464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2218584Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2218772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2218832Z x = self.act(x) 2025-09-07T08:08:29.2218835Z 2025-09-07T08:08:29.2218928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2219114Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2219172Z return mod(*inputs) 2025-09-07T08:08:29.2219347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2219413Z x = self.forward_features(x) 2025-09-07T08:08:29.2219610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2219678Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2219851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2219981Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2220151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2220208Z x = self.bn(x) 2025-09-07T08:08:29.2220215Z 2025-09-07T08:08:29.2220308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2220484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2220561Z return mod(*inputs) 2025-09-07T08:08:29.2220731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2220799Z x = self.forward_features(x) 2025-09-07T08:08:29.2220992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2221049Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2221223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2221341Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2221513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2221572Z x = self.conv2(x) 2025-09-07T08:08:29.2221575Z 2025-09-07T08:08:29.2221671Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2221857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2221917Z return mod(*inputs) 2025-09-07T08:08:29.2222090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2222157Z x = self.forward_features(x) 2025-09-07T08:08:29.2222364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2222443Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2222616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2222740Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2222913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2222979Z x = self.conv2(x) 2025-09-07T08:08:29.2222982Z 2025-09-07T08:08:29.2223058Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223134Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223211Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223279Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223356Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223429Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2223529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2223720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2223795Z return mod(*inputs) 2025-09-07T08:08:29.2223975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2224042Z x = self.forward_features(x) 2025-09-07T08:08:29.2224239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2224303Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2224475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2224584Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2224753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2224844Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2224848Z 2025-09-07T08:08:29.2224949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2225132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2225202Z return mod(*inputs) 2025-09-07T08:08:29.2225372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2225438Z x = self.forward_features(x) 2025-09-07T08:08:29.2225642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2225714Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2225890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2225993Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2226164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2226264Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2226269Z 2025-09-07T08:08:29.2226360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2226550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2226612Z return mod(*inputs) 2025-09-07T08:08:29.2226794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2226859Z x = self.forward_features(x) 2025-09-07T08:08:29.2227058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2227123Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2227291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2227412Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2227595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2227687Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2227690Z 2025-09-07T08:08:29.2227795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2227971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2228041Z return mod(*inputs) 2025-09-07T08:08:29.2228210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2228273Z x = self.forward_features(x) 2025-09-07T08:08:29.2228475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2228532Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2228709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2228810Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2228998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2229054Z x = attn @ v 2025-09-07T08:08:29.2229057Z 2025-09-07T08:08:29.2229152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2229340Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2229401Z return mod(*inputs) 2025-09-07T08:08:29.2229577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2229647Z x = self.forward_features(x) 2025-09-07T08:08:29.2229843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2229907Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2230076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2230184Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2230353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2230410Z x = attn @ v 2025-09-07T08:08:29.2230413Z 2025-09-07T08:08:29.2230512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2230701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2230801Z return mod(*inputs) 2025-09-07T08:08:29.2231020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2231093Z x = self.forward_features(x) 2025-09-07T08:08:29.2231306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2231370Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2231570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2231678Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2231864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2231927Z x = self.proj(x) 2025-09-07T08:08:29.2231930Z 2025-09-07T08:08:29.2232027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2232236Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2232299Z return mod(*inputs) 2025-09-07T08:08:29.2232480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2232546Z x = self.forward_features(x) 2025-09-07T08:08:29.2232769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2232852Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2233034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2233170Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2233347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2233409Z x = self.act(x) 2025-09-07T08:08:29.2233412Z 2025-09-07T08:08:29.2233512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2233697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2233767Z return mod(*inputs) 2025-09-07T08:08:29.2233942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2234009Z x = self.forward_features(x) 2025-09-07T08:08:29.2234218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2234279Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2234484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2234606Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2234787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2234846Z x = self.act(x) 2025-09-07T08:08:29.2234850Z 2025-09-07T08:08:29.2234945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2235141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2235203Z return mod(*inputs) 2025-09-07T08:08:29.2235388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2235458Z x = self.forward_features(x) 2025-09-07T08:08:29.2235661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2235729Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2235904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2236027Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2236205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2236263Z x = self.bn(x) 2025-09-07T08:08:29.2236273Z 2025-09-07T08:08:29.2236385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2236577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2236643Z return mod(*inputs) 2025-09-07T08:08:29.2236818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2236896Z x = self.forward_features(x) 2025-09-07T08:08:29.2237095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2237157Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2237339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2237457Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2237639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2237702Z x = self.conv2(x) 2025-09-07T08:08:29.2237705Z 2025-09-07T08:08:29.2237806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2238000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2238063Z return mod(*inputs) 2025-09-07T08:08:29.2238255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2238340Z x = self.forward_features(x) 2025-09-07T08:08:29.2238546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2238615Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2238790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2238922Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2239103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2239165Z x = self.conv2(x) 2025-09-07T08:08:29.2239177Z 2025-09-07T08:08:29.2239256Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239333Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239419Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239497Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239574Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239656Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2239773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2239963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2240025Z return mod(*inputs) 2025-09-07T08:08:29.2240202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2240279Z x = self.forward_features(x) 2025-09-07T08:08:29.2240484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2240552Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2240725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2240840Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2241021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2241115Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2241118Z 2025-09-07T08:08:29.2241227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2241421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2241497Z return mod(*inputs) 2025-09-07T08:08:29.2241675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2241773Z x = self.forward_features(x) 2025-09-07T08:08:29.2241987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2242048Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2242234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2242342Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2242519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2242625Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2242628Z 2025-09-07T08:08:29.2242726Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2242918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2242981Z return mod(*inputs) 2025-09-07T08:08:29.2243165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2243234Z x = self.forward_features(x) 2025-09-07T08:08:29.2243436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2243521Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2243711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2243826Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2244006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2244096Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2244099Z 2025-09-07T08:08:29.2244204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2244390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2244466Z return mod(*inputs) 2025-09-07T08:08:29.2244639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2244706Z x = self.forward_features(x) 2025-09-07T08:08:29.2244918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2244981Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2245174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2245291Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2245467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2245524Z x = attn @ v 2025-09-07T08:08:29.2245528Z 2025-09-07T08:08:29.2245623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2245812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2245873Z return mod(*inputs) 2025-09-07T08:08:29.2246048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2246115Z x = self.forward_features(x) 2025-09-07T08:08:29.2246309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2246380Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2246548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2246658Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2246825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2246881Z x = attn @ v 2025-09-07T08:08:29.2246884Z 2025-09-07T08:08:29.2246987Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2247179Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2247251Z return mod(*inputs) 2025-09-07T08:08:29.2247423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2247493Z x = self.forward_features(x) 2025-09-07T08:08:29.2247700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2247764Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2247943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2248044Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2248223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2248284Z x = self.proj(x) 2025-09-07T08:08:29.2248287Z 2025-09-07T08:08:29.2248386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2248577Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2248639Z return mod(*inputs) 2025-09-07T08:08:29.2248832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2248917Z x = self.forward_features(x) 2025-09-07T08:08:29.2249113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2249186Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2249358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2249486Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2249660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2249719Z x = self.act(x) 2025-09-07T08:08:29.2249723Z 2025-09-07T08:08:29.2249826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2250009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2250080Z return mod(*inputs) 2025-09-07T08:08:29.2250255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2250326Z x = self.forward_features(x) 2025-09-07T08:08:29.2250554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2250617Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2250796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2250915Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2251093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2251153Z x = self.act(x) 2025-09-07T08:08:29.2251156Z 2025-09-07T08:08:29.2251251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2251439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2251502Z return mod(*inputs) 2025-09-07T08:08:29.2251685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2251753Z x = self.forward_features(x) 2025-09-07T08:08:29.2251947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2252016Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2252185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2252313Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2252496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2252556Z x = self.bn(x) 2025-09-07T08:08:29.2252559Z 2025-09-07T08:08:29.2252662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2252846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2252917Z return mod(*inputs) 2025-09-07T08:08:29.2253089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2253156Z x = self.forward_features(x) 2025-09-07T08:08:29.2253360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2253420Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2253597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2253719Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2253904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2253965Z x = self.conv2(x) 2025-09-07T08:08:29.2253968Z 2025-09-07T08:08:29.2254081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2254275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2254356Z return mod(*inputs) 2025-09-07T08:08:29.2254535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2254602Z x = self.forward_features(x) 2025-09-07T08:08:29.2254799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2254868Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2255038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2255167Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2255340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2255401Z x = self.conv2(x) 2025-09-07T08:08:29.2255412Z 2025-09-07T08:08:29.2255492Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255569Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255652Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255744Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255818Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255900Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2255997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2256187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2256247Z return mod(*inputs) 2025-09-07T08:08:29.2256421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2256496Z x = self.forward_features(x) 2025-09-07T08:08:29.2256693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2256761Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2256933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2257038Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2257214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2257305Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2257308Z 2025-09-07T08:08:29.2257409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2257588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2257672Z return mod(*inputs) 2025-09-07T08:08:29.2257844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2257912Z x = self.forward_features(x) 2025-09-07T08:08:29.2258117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2258179Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2258356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2258461Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2258630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2258728Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2258732Z 2025-09-07T08:08:29.2258826Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2259016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2259080Z return mod(*inputs) 2025-09-07T08:08:29.2259249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2259339Z x = self.forward_features(x) 2025-09-07T08:08:29.2259551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2259619Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2259789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2259897Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2260066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2260155Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2260158Z 2025-09-07T08:08:29.2260262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2260443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2260517Z return mod(*inputs) 2025-09-07T08:08:29.2260689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2260759Z x = self.forward_features(x) 2025-09-07T08:08:29.2260964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2261041Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2261221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2261327Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2261496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2261563Z x = attn @ v 2025-09-07T08:08:29.2261567Z 2025-09-07T08:08:29.2261662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2261857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2261920Z return mod(*inputs) 2025-09-07T08:08:29.2262102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2262171Z x = self.forward_features(x) 2025-09-07T08:08:29.2262371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2262439Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2262610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2262723Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2262911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2262970Z x = attn @ v 2025-09-07T08:08:29.2262973Z 2025-09-07T08:08:29.2263078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2263260Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2263331Z return mod(*inputs) 2025-09-07T08:08:29.2263503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2263571Z x = self.forward_features(x) 2025-09-07T08:08:29.2263776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2263835Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2264015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2264116Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2264287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2264355Z x = self.proj(x) 2025-09-07T08:08:29.2264358Z 2025-09-07T08:08:29.2264453Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2264656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2264733Z return mod(*inputs) 2025-09-07T08:08:29.2264913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2264980Z x = self.forward_features(x) 2025-09-07T08:08:29.2265182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2265249Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2265422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2265555Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2265729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2265788Z x = self.act(x) 2025-09-07T08:08:29.2265791Z 2025-09-07T08:08:29.2265895Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2266081Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2266152Z return mod(*inputs) 2025-09-07T08:08:29.2266336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2266403Z x = self.forward_features(x) 2025-09-07T08:08:29.2266608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2266667Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2266846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2266965Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2267134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2267199Z x = self.act(x) 2025-09-07T08:08:29.2267202Z 2025-09-07T08:08:29.2267299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2267492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2267556Z return mod(*inputs) 2025-09-07T08:08:29.2267733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2267801Z x = self.forward_features(x) 2025-09-07T08:08:29.2267995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2268065Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2268248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2268375Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2268546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2268605Z x = self.bn(x) 2025-09-07T08:08:29.2268609Z 2025-09-07T08:08:29.2268714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2268892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2268964Z return mod(*inputs) 2025-09-07T08:08:29.2269133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2269200Z x = self.forward_features(x) 2025-09-07T08:08:29.2269402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2269462Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2269638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2269758Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2269946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2270028Z x = self.conv2(x) 2025-09-07T08:08:29.2270032Z 2025-09-07T08:08:29.2270129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2270321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2270383Z return mod(*inputs) 2025-09-07T08:08:29.2270561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2270628Z x = self.forward_features(x) 2025-09-07T08:08:29.2270822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2270892Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2271062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2271187Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2271360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2271423Z x = self.conv2(x) 2025-09-07T08:08:29.2271442Z 2025-09-07T08:08:29.2271531Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2271604Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2271691Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2271765Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2271837Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2271919Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2272015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2272206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2272270Z return mod(*inputs) 2025-09-07T08:08:29.2272440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2272518Z x = self.forward_features(x) 2025-09-07T08:08:29.2272717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2272788Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2272965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2273069Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2273251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2273344Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2273347Z 2025-09-07T08:08:29.2273470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2273651Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2273721Z return mod(*inputs) 2025-09-07T08:08:29.2273892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2273961Z x = self.forward_features(x) 2025-09-07T08:08:29.2274163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2274226Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2274403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2274505Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2274673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2274774Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2274777Z 2025-09-07T08:08:29.2274871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2275059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2275134Z return mod(*inputs) 2025-09-07T08:08:29.2275317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2275395Z x = self.forward_features(x) 2025-09-07T08:08:29.2275591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2275659Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2275826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2275935Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2276104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2276193Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2276196Z 2025-09-07T08:08:29.2276302Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2276484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2276559Z return mod(*inputs) 2025-09-07T08:08:29.2276729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2276814Z x = self.forward_features(x) 2025-09-07T08:08:29.2277021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2277082Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2277262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2277366Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2277536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2277602Z x = attn @ v 2025-09-07T08:08:29.2277605Z 2025-09-07T08:08:29.2277702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2277893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2277956Z return mod(*inputs) 2025-09-07T08:08:29.2278127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2278201Z x = self.forward_features(x) 2025-09-07T08:08:29.2278394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2278461Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2278628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2278755Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2278924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2278980Z x = attn @ v 2025-09-07T08:08:29.2278983Z 2025-09-07T08:08:29.2279087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2279268Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2279339Z return mod(*inputs) 2025-09-07T08:08:29.2279511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2279580Z x = self.forward_features(x) 2025-09-07T08:08:29.2279783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2279842Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2280016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2280115Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2280284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2280350Z x = self.proj(x) 2025-09-07T08:08:29.2280368Z 2025-09-07T08:08:29.2280477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2280665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2280730Z return mod(*inputs) 2025-09-07T08:08:29.2280898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2280974Z x = self.forward_features(x) 2025-09-07T08:08:29.2281170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2281239Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2281411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2281538Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2281712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2281774Z x = self.act(x) 2025-09-07T08:08:29.2281777Z 2025-09-07T08:08:29.2281880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2282079Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2282150Z return mod(*inputs) 2025-09-07T08:08:29.2282322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2282390Z x = self.forward_features(x) 2025-09-07T08:08:29.2282593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2282654Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2282834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2282951Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2283120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2283190Z x = self.act(x) 2025-09-07T08:08:29.2283193Z 2025-09-07T08:08:29.2283291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2283479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2283540Z return mod(*inputs) 2025-09-07T08:08:29.2283715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2283782Z x = self.forward_features(x) 2025-09-07T08:08:29.2283993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2284065Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2284238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2284369Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2284544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2284606Z x = self.bn(x) 2025-09-07T08:08:29.2284609Z 2025-09-07T08:08:29.2284720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2284903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2284977Z return mod(*inputs) 2025-09-07T08:08:29.2285148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2285215Z x = self.forward_features(x) 2025-09-07T08:08:29.2285423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2285482Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2285659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2285813Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2285998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2286069Z x = self.conv2(x) 2025-09-07T08:08:29.2286071Z 2025-09-07T08:08:29.2286170Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2286360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2286422Z return mod(*inputs) 2025-09-07T08:08:29.2286604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2286674Z x = self.forward_features(x) 2025-09-07T08:08:29.2286872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2286940Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2287112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2287241Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2287422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2287483Z x = self.conv2(x) 2025-09-07T08:08:29.2287486Z 2025-09-07T08:08:29.2287568Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2287645Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2287727Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2287800Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2287878Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2287959Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2288055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2288243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2288310Z return mod(*inputs) 2025-09-07T08:08:29.2288481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2288558Z x = self.forward_features(x) 2025-09-07T08:08:29.2288753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2288822Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2288990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2289095Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2289287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2289379Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2289382Z 2025-09-07T08:08:29.2289485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2289667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2289739Z return mod(*inputs) 2025-09-07T08:08:29.2289910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2289980Z x = self.forward_features(x) 2025-09-07T08:08:29.2290186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2290248Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2290426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2290531Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2290705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2290802Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2290805Z 2025-09-07T08:08:29.2290923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2291133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2291196Z return mod(*inputs) 2025-09-07T08:08:29.2291365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2291442Z x = self.forward_features(x) 2025-09-07T08:08:29.2291639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2291705Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2291877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2291982Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2292157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2292249Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2292253Z 2025-09-07T08:08:29.2292355Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2292537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2292623Z return mod(*inputs) 2025-09-07T08:08:29.2292798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2292864Z x = self.forward_features(x) 2025-09-07T08:08:29.2293069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2293128Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2293309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2293412Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2293583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2293653Z x = attn @ v 2025-09-07T08:08:29.2293656Z 2025-09-07T08:08:29.2293750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2293941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2294003Z return mod(*inputs) 2025-09-07T08:08:29.2294172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2294247Z x = self.forward_features(x) 2025-09-07T08:08:29.2294444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2294527Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2294697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2294799Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2294977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2295035Z x = attn @ v 2025-09-07T08:08:29.2295038Z 2025-09-07T08:08:29.2295144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2295324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2295394Z return mod(*inputs) 2025-09-07T08:08:29.2295565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2295632Z x = self.forward_features(x) 2025-09-07T08:08:29.2295838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2295899Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2296073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2296194Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2296365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2296451Z x = self.proj(x) 2025-09-07T08:08:29.2296456Z 2025-09-07T08:08:29.2296553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2296744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2296805Z return mod(*inputs) 2025-09-07T08:08:29.2296976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2297052Z x = self.forward_features(x) 2025-09-07T08:08:29.2297252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2297322Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2297495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2297625Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2297800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2297877Z x = self.act(x) 2025-09-07T08:08:29.2297880Z 2025-09-07T08:08:29.2297983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2298165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2298235Z return mod(*inputs) 2025-09-07T08:08:29.2298405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2298475Z x = self.forward_features(x) 2025-09-07T08:08:29.2298685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2298747Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2298927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2299050Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2299224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2299291Z x = self.act(x) 2025-09-07T08:08:29.2299295Z 2025-09-07T08:08:29.2299393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2299586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2299646Z return mod(*inputs) 2025-09-07T08:08:29.2299829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2299905Z x = self.forward_features(x) 2025-09-07T08:08:29.2300105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2300173Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2300344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2300470Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2300642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2300700Z x = self.bn(x) 2025-09-07T08:08:29.2300703Z 2025-09-07T08:08:29.2300805Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2300984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2301053Z return mod(*inputs) 2025-09-07T08:08:29.2301222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2301290Z x = self.forward_features(x) 2025-09-07T08:08:29.2301509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2301573Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2301761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2301880Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2302048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2302117Z x = self.conv2(x) 2025-09-07T08:08:29.2302120Z 2025-09-07T08:08:29.2302215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2302403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2302467Z return mod(*inputs) 2025-09-07T08:08:29.2302641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2302708Z x = self.forward_features(x) 2025-09-07T08:08:29.2302906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2302977Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2303146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2303290Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2303459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2303518Z x = self.conv2(x) 2025-09-07T08:08:29.2303521Z 2025-09-07T08:08:29.2303605Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2303682Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2303767Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2303841Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2303914Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2303993Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2304091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2304282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2304348Z return mod(*inputs) 2025-09-07T08:08:29.2304520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2304594Z x = self.forward_features(x) 2025-09-07T08:08:29.2304794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2304861Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2305046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2305150Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2305331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2305426Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2305430Z 2025-09-07T08:08:29.2305534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2305717Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2305783Z return mod(*inputs) 2025-09-07T08:08:29.2305960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2306028Z x = self.forward_features(x) 2025-09-07T08:08:29.2306233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2306294Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2306474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2306577Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2306759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2306877Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2306880Z 2025-09-07T08:08:29.2306974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2307163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2307226Z return mod(*inputs) 2025-09-07T08:08:29.2307393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2307470Z x = self.forward_features(x) 2025-09-07T08:08:29.2307664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2307732Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2307901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2308002Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2308180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2308269Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2308286Z 2025-09-07T08:08:29.2308391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2308576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2308644Z return mod(*inputs) 2025-09-07T08:08:29.2308816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2308884Z x = self.forward_features(x) 2025-09-07T08:08:29.2309089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2309149Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2309330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2309433Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2309608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2309677Z x = attn @ v 2025-09-07T08:08:29.2309680Z 2025-09-07T08:08:29.2309773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2309965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2310028Z return mod(*inputs) 2025-09-07T08:08:29.2310198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2310297Z x = self.forward_features(x) 2025-09-07T08:08:29.2310492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2310560Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2310730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2310834Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2311012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2311070Z x = attn @ v 2025-09-07T08:08:29.2311073Z 2025-09-07T08:08:29.2311176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2311355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2311429Z return mod(*inputs) 2025-09-07T08:08:29.2311602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2311670Z x = self.forward_features(x) 2025-09-07T08:08:29.2311875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2311937Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2312129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2312244Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2312412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2312479Z x = self.proj(x) 2025-09-07T08:08:29.2312482Z 2025-09-07T08:08:29.2312575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2312764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2312825Z return mod(*inputs) 2025-09-07T08:08:29.2312994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2313070Z x = self.forward_features(x) 2025-09-07T08:08:29.2313264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2313333Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2313503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2313638Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2313814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2313873Z x = self.act(x) 2025-09-07T08:08:29.2313876Z 2025-09-07T08:08:29.2313981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2314163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2314234Z return mod(*inputs) 2025-09-07T08:08:29.2314405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2314473Z x = self.forward_features(x) 2025-09-07T08:08:29.2314676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2314736Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2314913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2315034Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2315204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2315271Z x = self.act(x) 2025-09-07T08:08:29.2315274Z 2025-09-07T08:08:29.2315371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2315573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2315639Z return mod(*inputs) 2025-09-07T08:08:29.2315810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2315884Z x = self.forward_features(x) 2025-09-07T08:08:29.2316082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2316151Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2316322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2316441Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2316620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2316680Z x = self.bn(x) 2025-09-07T08:08:29.2316683Z 2025-09-07T08:08:29.2316787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2316970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2317041Z return mod(*inputs) 2025-09-07T08:08:29.2317211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2317292Z x = self.forward_features(x) 2025-09-07T08:08:29.2317512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2317576Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2317755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2317873Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2318045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2318113Z x = self.conv2(x) 2025-09-07T08:08:29.2318116Z 2025-09-07T08:08:29.2318212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2318399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2318463Z return mod(*inputs) 2025-09-07T08:08:29.2318632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2318709Z x = self.forward_features(x) 2025-09-07T08:08:29.2318906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2318991Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2319166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2319294Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2319468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2319531Z x = self.conv2(x) 2025-09-07T08:08:29.2319534Z 2025-09-07T08:08:29.2319621Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2319698Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2319781Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2319857Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2319930Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2320010Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2320110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2320303Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2320365Z return mod(*inputs) 2025-09-07T08:08:29.2320539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2320614Z x = self.forward_features(x) 2025-09-07T08:08:29.2320832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2320901Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2321072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2321180Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2321361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2321456Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2321461Z 2025-09-07T08:08:29.2321567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2321752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2321816Z return mod(*inputs) 2025-09-07T08:08:29.2321997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2322063Z x = self.forward_features(x) 2025-09-07T08:08:29.2322269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2322330Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2322501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2322628Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2322810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2322909Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2322913Z 2025-09-07T08:08:29.2323008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2323197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2323258Z return mod(*inputs) 2025-09-07T08:08:29.2323430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2323509Z x = self.forward_features(x) 2025-09-07T08:08:29.2323706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2323772Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2323941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2324049Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2324243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2324334Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2324337Z 2025-09-07T08:08:29.2324437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2324621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2324681Z return mod(*inputs) 2025-09-07T08:08:29.2324862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2324929Z x = self.forward_features(x) 2025-09-07T08:08:29.2325137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2325197Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2325377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2325483Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2325652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2325720Z x = attn @ v 2025-09-07T08:08:29.2325723Z 2025-09-07T08:08:29.2325817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2326007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2326101Z return mod(*inputs) 2025-09-07T08:08:29.2326270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2326346Z x = self.forward_features(x) 2025-09-07T08:08:29.2326545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2326612Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2326780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2326883Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2327058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2327116Z x = attn @ v 2025-09-07T08:08:29.2327119Z 2025-09-07T08:08:29.2327220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2327402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2327465Z return mod(*inputs) 2025-09-07T08:08:29.2327640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2327706Z x = self.forward_features(x) 2025-09-07T08:08:29.2327924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2327998Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2328176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2328278Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2328445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2328517Z x = self.proj(x) 2025-09-07T08:08:29.2328520Z 2025-09-07T08:08:29.2328615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2328807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2328871Z return mod(*inputs) 2025-09-07T08:08:29.2329040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2329120Z x = self.forward_features(x) 2025-09-07T08:08:29.2329321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2329414Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2329585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2329705Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2329882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2329943Z x = self.act(x) 2025-09-07T08:08:29.2329946Z 2025-09-07T08:08:29.2330053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2330235Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2330308Z return mod(*inputs) 2025-09-07T08:08:29.2330484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2330554Z x = self.forward_features(x) 2025-09-07T08:08:29.2330762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2330857Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2331046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2331167Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2331344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2331442Z x = self.act(x) 2025-09-07T08:08:29.2331445Z 2025-09-07T08:08:29.2331546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2331753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2331817Z return mod(*inputs) 2025-09-07T08:08:29.2331991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2332072Z x = self.forward_features(x) 2025-09-07T08:08:29.2332273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2332342Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2332606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2332727Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2332911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2332974Z x = self.bn(x) 2025-09-07T08:08:29.2332977Z 2025-09-07T08:08:29.2333081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2333288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2333365Z return mod(*inputs) 2025-09-07T08:08:29.2333562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2333632Z x = self.forward_features(x) 2025-09-07T08:08:29.2333844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2333908Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2334099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2334223Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2334402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2334476Z x = self.conv2(x) 2025-09-07T08:08:29.2334479Z 2025-09-07T08:08:29.2334579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2334776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2334841Z return mod(*inputs) 2025-09-07T08:08:29.2335014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2335112Z x = self.forward_features(x) 2025-09-07T08:08:29.2335316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2335386Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2335566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2335692Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2335881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2335942Z x = self.conv2(x) 2025-09-07T08:08:29.2335945Z 2025-09-07T08:08:29.2336035Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336114Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336201Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336276Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336354Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336435Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2336533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2336729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2336793Z return mod(*inputs) 2025-09-07T08:08:29.2336986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2337065Z x = self.forward_features(x) 2025-09-07T08:08:29.2337272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2337339Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2337517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2337625Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2337807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2337902Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2337905Z 2025-09-07T08:08:29.2338010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2338201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2338265Z return mod(*inputs) 2025-09-07T08:08:29.2338451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2338523Z x = self.forward_features(x) 2025-09-07T08:08:29.2338751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2338815Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2339011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2339128Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2339308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2339410Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2339413Z 2025-09-07T08:08:29.2339513Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2339713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2339774Z return mod(*inputs) 2025-09-07T08:08:29.2339953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2340032Z x = self.forward_features(x) 2025-09-07T08:08:29.2340242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2340313Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2340507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2340612Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2340795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2340886Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2340889Z 2025-09-07T08:08:29.2340992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2341184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2341249Z return mod(*inputs) 2025-09-07T08:08:29.2341435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2341506Z x = self.forward_features(x) 2025-09-07T08:08:29.2341720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2341785Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2341962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2342075Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2342252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2342323Z x = attn @ v 2025-09-07T08:08:29.2342325Z 2025-09-07T08:08:29.2342439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2342637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2342701Z return mod(*inputs) 2025-09-07T08:08:29.2342882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2342961Z x = self.forward_features(x) 2025-09-07T08:08:29.2343164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2343235Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2343408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2343513Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2343697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2343756Z x = attn @ v 2025-09-07T08:08:29.2343761Z 2025-09-07T08:08:29.2343869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2344059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2344121Z return mod(*inputs) 2025-09-07T08:08:29.2344318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2344400Z x = self.forward_features(x) 2025-09-07T08:08:29.2344621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2344683Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2344852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2344963Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2345136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2345206Z x = self.proj(x) 2025-09-07T08:08:29.2345209Z 2025-09-07T08:08:29.2345304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2345494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2345555Z return mod(*inputs) 2025-09-07T08:08:29.2345725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2345818Z x = self.forward_features(x) 2025-09-07T08:08:29.2346014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2346082Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2346251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2346374Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2346557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2346615Z x = self.act(x) 2025-09-07T08:08:29.2346617Z 2025-09-07T08:08:29.2346721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2346907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2346971Z return mod(*inputs) 2025-09-07T08:08:29.2347150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2347217Z x = self.forward_features(x) 2025-09-07T08:08:29.2347424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2347484Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2347662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2347796Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2347966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2348033Z x = self.act(x) 2025-09-07T08:08:29.2348036Z 2025-09-07T08:08:29.2348131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2348317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2348378Z return mod(*inputs) 2025-09-07T08:08:29.2348551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2348625Z x = self.forward_features(x) 2025-09-07T08:08:29.2348818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2348884Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2349055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2349175Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2349358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2349415Z x = self.bn(x) 2025-09-07T08:08:29.2349418Z 2025-09-07T08:08:29.2349539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2349743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2349813Z return mod(*inputs) 2025-09-07T08:08:29.2349983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2350049Z x = self.forward_features(x) 2025-09-07T08:08:29.2350251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2350311Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2350490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2350606Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2350774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2350844Z x = self.conv2(x) 2025-09-07T08:08:29.2350848Z 2025-09-07T08:08:29.2350944Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2351131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2351206Z return mod(*inputs) 2025-09-07T08:08:29.2351378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2351455Z x = self.forward_features(x) 2025-09-07T08:08:29.2351649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2351718Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2351888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2352004Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2352182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2352244Z x = self.conv2(x) 2025-09-07T08:08:29.2352247Z 2025-09-07T08:08:29.2352333Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352411Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352485Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352567Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352641Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352723Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2352819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2353019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2353089Z return mod(*inputs) 2025-09-07T08:08:29.2353266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2353344Z x = self.forward_features(x) 2025-09-07T08:08:29.2353543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2353606Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2353790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2353895Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2354074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2354165Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2354168Z 2025-09-07T08:08:29.2354272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2354459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2354521Z return mod(*inputs) 2025-09-07T08:08:29.2354699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2354781Z x = self.forward_features(x) 2025-09-07T08:08:29.2355003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2355066Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2355237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2355349Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2355519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2355619Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2355624Z 2025-09-07T08:08:29.2355719Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2355909Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2355970Z return mod(*inputs) 2025-09-07T08:08:29.2356145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2356226Z x = self.forward_features(x) 2025-09-07T08:08:29.2356438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2356508Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2356681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2356784Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2356962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2357051Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2357054Z 2025-09-07T08:08:29.2357157Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2357344Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2357407Z return mod(*inputs) 2025-09-07T08:08:29.2357586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2357654Z x = self.forward_features(x) 2025-09-07T08:08:29.2357857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2357920Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2358090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2358202Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2358390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2358458Z x = attn @ v 2025-09-07T08:08:29.2358461Z 2025-09-07T08:08:29.2358557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2358752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2358816Z return mod(*inputs) 2025-09-07T08:08:29.2358987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2359062Z x = self.forward_features(x) 2025-09-07T08:08:29.2359260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2359328Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2359499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2359604Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2359783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2359838Z x = attn @ v 2025-09-07T08:08:29.2359841Z 2025-09-07T08:08:29.2359947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2360147Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2360225Z return mod(*inputs) 2025-09-07T08:08:29.2360405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2360474Z x = self.forward_features(x) 2025-09-07T08:08:29.2360677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2360737Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2360910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2361024Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2361197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2361265Z x = self.proj(x) 2025-09-07T08:08:29.2361267Z 2025-09-07T08:08:29.2361365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2361557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2361636Z return mod(*inputs) 2025-09-07T08:08:29.2361807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2361884Z x = self.forward_features(x) 2025-09-07T08:08:29.2362081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2362148Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2362315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2362436Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2362612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2362674Z x = self.act(x) 2025-09-07T08:08:29.2362677Z 2025-09-07T08:08:29.2362782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2362961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2363026Z return mod(*inputs) 2025-09-07T08:08:29.2363206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2363274Z x = self.forward_features(x) 2025-09-07T08:08:29.2363477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2363537Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2363723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2363852Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2364023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2364093Z x = self.act(x) 2025-09-07T08:08:29.2364096Z 2025-09-07T08:08:29.2364192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2364379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2364443Z return mod(*inputs) 2025-09-07T08:08:29.2364613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2364691Z x = self.forward_features(x) 2025-09-07T08:08:29.2364886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2364958Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2365128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2365248Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2365442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2365516Z x = self.bn(x) 2025-09-07T08:08:29.2365520Z 2025-09-07T08:08:29.2365628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2365815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2365876Z return mod(*inputs) 2025-09-07T08:08:29.2366062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2366127Z x = self.forward_features(x) 2025-09-07T08:08:29.2366337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2366398Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2366571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2366704Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2366879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2366964Z x = self.conv2(x) 2025-09-07T08:08:29.2366966Z 2025-09-07T08:08:29.2367062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2367250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2367312Z return mod(*inputs) 2025-09-07T08:08:29.2367482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2367558Z x = self.forward_features(x) 2025-09-07T08:08:29.2367755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2367824Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2367997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2368116Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2368296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2368358Z x = self.conv2(x) 2025-09-07T08:08:29.2368361Z 2025-09-07T08:08:29.2368447Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368522Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368598Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368681Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368753Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368866Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2368966Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2369148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2369220Z return mod(*inputs) 2025-09-07T08:08:29.2369391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2369468Z x = self.forward_features(x) 2025-09-07T08:08:29.2369667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2369725Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2369906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2370011Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2370187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2370278Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2370282Z 2025-09-07T08:08:29.2370389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2370592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2370655Z return mod(*inputs) 2025-09-07T08:08:29.2370847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2370916Z x = self.forward_features(x) 2025-09-07T08:08:29.2371122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2371184Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2371354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2371465Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2371632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2371729Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2371732Z 2025-09-07T08:08:29.2371828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2372013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2372082Z return mod(*inputs) 2025-09-07T08:08:29.2372265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2372339Z x = self.forward_features(x) 2025-09-07T08:08:29.2372535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2372601Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2372767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2372872Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2373048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2373137Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2373140Z 2025-09-07T08:08:29.2373241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2373424Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2373490Z return mod(*inputs) 2025-09-07T08:08:29.2373664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2373732Z x = self.forward_features(x) 2025-09-07T08:08:29.2373933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2373993Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2374176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2374288Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2374458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2374525Z x = attn @ v 2025-09-07T08:08:29.2374528Z 2025-09-07T08:08:29.2374624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2374815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2374880Z return mod(*inputs) 2025-09-07T08:08:29.2375048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2375127Z x = self.forward_features(x) 2025-09-07T08:08:29.2375322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2375390Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2375560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2375662Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2375855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2375931Z x = attn @ v 2025-09-07T08:08:29.2375934Z 2025-09-07T08:08:29.2376037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2376223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2376286Z return mod(*inputs) 2025-09-07T08:08:29.2376468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2376535Z x = self.forward_features(x) 2025-09-07T08:08:29.2376742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2376808Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2376984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2377096Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2377267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2377338Z x = self.proj(x) 2025-09-07T08:08:29.2377341Z 2025-09-07T08:08:29.2377451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2377641Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2377704Z return mod(*inputs) 2025-09-07T08:08:29.2377873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2377947Z x = self.forward_features(x) 2025-09-07T08:08:29.2378148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2378217Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2378389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2378510Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2378693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2378754Z x = self.act(x) 2025-09-07T08:08:29.2378757Z 2025-09-07T08:08:29.2378862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2379042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2379102Z return mod(*inputs) 2025-09-07T08:08:29.2379278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2379346Z x = self.forward_features(x) 2025-09-07T08:08:29.2379564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2379625Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2379797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2379928Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2380099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2380166Z x = self.act(x) 2025-09-07T08:08:29.2380169Z 2025-09-07T08:08:29.2380264Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2380454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2380539Z return mod(*inputs) 2025-09-07T08:08:29.2380709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2380788Z x = self.forward_features(x) 2025-09-07T08:08:29.2380984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2381051Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2381236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2381368Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2381547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2381605Z x = self.bn(x) 2025-09-07T08:08:29.2381608Z 2025-09-07T08:08:29.2381710Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2381891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2381951Z return mod(*inputs) 2025-09-07T08:08:29.2382131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2382197Z x = self.forward_features(x) 2025-09-07T08:08:29.2382397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2382457Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2382625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2382750Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2382931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2382999Z x = self.conv2(x) 2025-09-07T08:08:29.2383002Z 2025-09-07T08:08:29.2383096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2383283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2383345Z return mod(*inputs) 2025-09-07T08:08:29.2383513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2383588Z x = self.forward_features(x) 2025-09-07T08:08:29.2383781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2383847Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2384018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2384135Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2384311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2384372Z x = self.conv2(x) 2025-09-07T08:08:29.2384374Z 2025-09-07T08:08:29.2384458Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384535Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384623Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384704Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384777Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384857Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2384953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2385139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2385214Z return mod(*inputs) 2025-09-07T08:08:29.2385387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2385464Z x = self.forward_features(x) 2025-09-07T08:08:29.2385660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2385721Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2385899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2386003Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2386182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2386274Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2386277Z 2025-09-07T08:08:29.2386396Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2386595Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2386659Z return mod(*inputs) 2025-09-07T08:08:29.2386839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2386908Z x = self.forward_features(x) 2025-09-07T08:08:29.2387116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2387176Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2387347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2387461Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2387632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2387732Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2387737Z 2025-09-07T08:08:29.2387836Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2388038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2388109Z return mod(*inputs) 2025-09-07T08:08:29.2388279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2388356Z x = self.forward_features(x) 2025-09-07T08:08:29.2388554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2388616Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2388794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2388896Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2389072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2389163Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2389168Z 2025-09-07T08:08:29.2389271Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2389455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2389515Z return mod(*inputs) 2025-09-07T08:08:29.2389696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2389762Z x = self.forward_features(x) 2025-09-07T08:08:29.2389986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2390050Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2390222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2390335Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2390507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2390576Z x = attn @ v 2025-09-07T08:08:29.2390579Z 2025-09-07T08:08:29.2390677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2390864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2390933Z return mod(*inputs) 2025-09-07T08:08:29.2391102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2391175Z x = self.forward_features(x) 2025-09-07T08:08:29.2391374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2391440Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2391611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2391729Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2391918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2391980Z x = attn @ v 2025-09-07T08:08:29.2391982Z 2025-09-07T08:08:29.2392085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2392264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2392326Z return mod(*inputs) 2025-09-07T08:08:29.2392502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2392570Z x = self.forward_features(x) 2025-09-07T08:08:29.2392776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2392835Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2393006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2393121Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2393290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2393374Z x = self.proj(x) 2025-09-07T08:08:29.2393377Z 2025-09-07T08:08:29.2393474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2393655Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2393723Z return mod(*inputs) 2025-09-07T08:08:29.2393894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2393967Z x = self.forward_features(x) 2025-09-07T08:08:29.2394163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2394230Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2394399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2394520Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2394699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2394758Z x = self.act(x) 2025-09-07T08:08:29.2394761Z 2025-09-07T08:08:29.2394864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2395044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2395104Z return mod(*inputs) 2025-09-07T08:08:29.2395295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2395364Z x = self.forward_features(x) 2025-09-07T08:08:29.2395565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2395628Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2395800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2395930Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2396098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2396166Z x = self.act(x) 2025-09-07T08:08:29.2396169Z 2025-09-07T08:08:29.2396263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2396453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2396518Z return mod(*inputs) 2025-09-07T08:08:29.2396688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2396761Z x = self.forward_features(x) 2025-09-07T08:08:29.2396970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2397054Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2397229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2397351Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2397533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2397592Z x = self.bn(x) 2025-09-07T08:08:29.2397594Z 2025-09-07T08:08:29.2397700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2397887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2397948Z return mod(*inputs) 2025-09-07T08:08:29.2398133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2398201Z x = self.forward_features(x) 2025-09-07T08:08:29.2398411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2398475Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2398664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2398793Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2398962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2399031Z x = self.conv2(x) 2025-09-07T08:08:29.2399034Z 2025-09-07T08:08:29.2399132Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2399323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2399387Z return mod(*inputs) 2025-09-07T08:08:29.2399560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2399636Z x = self.forward_features(x) 2025-09-07T08:08:29.2399834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2399903Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2400075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2400193Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2400375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2400436Z x = self.conv2(x) 2025-09-07T08:08:29.2400439Z 2025-09-07T08:08:29.2400541Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2400619Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2400693Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2400774Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2400847Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2400927Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2401022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2401206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2401277Z return mod(*inputs) 2025-09-07T08:08:29.2401450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2401524Z x = self.forward_features(x) 2025-09-07T08:08:29.2401721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2401782Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2401960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2402065Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2402260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 228, in forward 2025-09-07T08:08:29.2402366Z k = torch.nn.functional.normalize(k, dim=-1) 2025-09-07T08:08:29.2402371Z 2025-09-07T08:08:29.2402469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2402659Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2402719Z return mod(*inputs) 2025-09-07T08:08:29.2402899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2402965Z x = self.forward_features(x) 2025-09-07T08:08:29.2403171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2403232Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2403403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2403514Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2403686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2403798Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2403801Z 2025-09-07T08:08:29.2403899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2404083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2404152Z return mod(*inputs) 2025-09-07T08:08:29.2404322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2404399Z x = self.forward_features(x) 2025-09-07T08:08:29.2404596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2404655Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2404834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2404940Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2405119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 229, in forward 2025-09-07T08:08:29.2405209Z attn = (q @ k.transpose(-2, -1)) * self.temperature 2025-09-07T08:08:29.2405212Z 2025-09-07T08:08:29.2405313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2405495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2405560Z return mod(*inputs) 2025-09-07T08:08:29.2405759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2405829Z x = self.forward_features(x) 2025-09-07T08:08:29.2406035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2406094Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2406268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2406381Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2406554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2406618Z x = attn @ v 2025-09-07T08:08:29.2406621Z 2025-09-07T08:08:29.2406715Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2406897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2406965Z return mod(*inputs) 2025-09-07T08:08:29.2407135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2407209Z x = self.forward_features(x) 2025-09-07T08:08:29.2407427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2407489Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2407680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2407783Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2407959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 232, in forward 2025-09-07T08:08:29.2408016Z x = attn @ v 2025-09-07T08:08:29.2408019Z 2025-09-07T08:08:29.2408123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2408305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2408367Z return mod(*inputs) 2025-09-07T08:08:29.2408545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2408612Z x = self.forward_features(x) 2025-09-07T08:08:29.2408817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2408877Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2409046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 274, in forward 2025-09-07T08:08:29.2409180Z x = x + self.drop_path(self.gamma1 * self.attn(self.norm1(x))) 2025-09-07T08:08:29.2409349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 235, in forward 2025-09-07T08:08:29.2409419Z x = self.proj(x) 2025-09-07T08:08:29.2409422Z 2025-09-07T08:08:29.2409517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2409702Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2409772Z return mod(*inputs) 2025-09-07T08:08:29.2409943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2410017Z x = self.forward_features(x) 2025-09-07T08:08:29.2410216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2410276Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2410456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2410579Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2410758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2410818Z x = self.act(x) 2025-09-07T08:08:29.2410821Z 2025-09-07T08:08:29.2410925Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2411123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2411187Z return mod(*inputs) 2025-09-07T08:08:29.2411368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2411437Z x = self.forward_features(x) 2025-09-07T08:08:29.2411646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2411708Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2411881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2412013Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2412184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 139, in forward 2025-09-07T08:08:29.2412253Z x = self.act(x) 2025-09-07T08:08:29.2412256Z 2025-09-07T08:08:29.2412353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2412537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2412611Z return mod(*inputs) 2025-09-07T08:08:29.2412797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2412886Z x = self.forward_features(x) 2025-09-07T08:08:29.2413084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2413154Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2413323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2413444Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2413623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 140, in forward 2025-09-07T08:08:29.2413683Z x = self.bn(x) 2025-09-07T08:08:29.2413686Z 2025-09-07T08:08:29.2413791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2413972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2414034Z return mod(*inputs) 2025-09-07T08:08:29.2414214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2414281Z x = self.forward_features(x) 2025-09-07T08:08:29.2414500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2414562Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2414730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2414855Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2415024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2415093Z x = self.conv2(x) 2025-09-07T08:08:29.2415096Z 2025-09-07T08:08:29.2415191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2415372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2415441Z return mod(*inputs) 2025-09-07T08:08:29.2415613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2415691Z x = self.forward_features(x) 2025-09-07T08:08:29.2415884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2415950Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2416119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 277, in forward 2025-09-07T08:08:29.2416235Z x = x + self.drop_path(self.gamma3 * self.local_mp(self.norm3(x), H, W)) 2025-09-07T08:08:29.2416426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 141, in forward 2025-09-07T08:08:29.2416488Z x = self.conv2(x) 2025-09-07T08:08:29.2416491Z 2025-09-07T08:08:29.2416577Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2416655Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2416728Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2416812Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2416911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2417102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2417164Z return mod(*inputs) 2025-09-07T08:08:29.2417333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2417407Z x = self.forward_features(x) 2025-09-07T08:08:29.2417607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 534, in forward_features 2025-09-07T08:08:29.2417674Z x = blk(x, Hp, Wp) 2025-09-07T08:08:29.2417845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 278, in forward 2025-09-07T08:08:29.2417953Z x = x + self.drop_path(self.gamma2 * self.mlp(self.norm2(x))) 2025-09-07T08:08:29.2417971Z 2025-09-07T08:08:29.2418091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2418271Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2418344Z return mod(*inputs) 2025-09-07T08:08:29.2418513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2418579Z x = self.forward_features(x) 2025-09-07T08:08:29.2418784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 536, in forward_features 2025-09-07T08:08:29.2418897Z x = torch.cat((self.cls_token.expand(B, -1, -1), x), dim=1) 2025-09-07T08:08:29.2418901Z 2025-09-07T08:08:29.2419002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2419183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2419251Z return mod(*inputs) 2025-09-07T08:08:29.2419422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2419491Z x = self.forward_features(x) 2025-09-07T08:08:29.2419711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2419769Z x = blk(x) 2025-09-07T08:08:29.2419947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2420064Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2420238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2420417Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2420420Z 2025-09-07T08:08:29.2420515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2420706Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2420771Z return mod(*inputs) 2025-09-07T08:08:29.2420952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2421020Z x = self.forward_features(x) 2025-09-07T08:08:29.2421218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2421283Z x = blk(x) 2025-09-07T08:08:29.2421452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2421588Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2421765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2421926Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2421931Z 2025-09-07T08:08:29.2422037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2422223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2422296Z return mod(*inputs) 2025-09-07T08:08:29.2422470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2422537Z x = self.forward_features(x) 2025-09-07T08:08:29.2422743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2422807Z x = blk(x) 2025-09-07T08:08:29.2422990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2423096Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2423277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2423448Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2423463Z 2025-09-07T08:08:29.2423541Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2423629Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2423704Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2423784Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2423857Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2423954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2424143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2424206Z return mod(*inputs) 2025-09-07T08:08:29.2424384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2424451Z x = self.forward_features(x) 2025-09-07T08:08:29.2424647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2424714Z x = blk(x) 2025-09-07T08:08:29.2424884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2425021Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2425192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 53, in forward 2025-09-07T08:08:29.2425308Z x_cls = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:08:29.2425311Z 2025-09-07T08:08:29.2425393Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2425466Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2425571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2425752Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2425815Z return mod(*inputs) 2025-09-07T08:08:29.2425994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2426063Z x = self.forward_features(x) 2025-09-07T08:08:29.2426269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2426328Z x = blk(x) 2025-09-07T08:08:29.2426496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2426609Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2426612Z 2025-09-07T08:08:29.2426687Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2426806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2426987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2427058Z return mod(*inputs) 2025-09-07T08:08:29.2427229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2427299Z x = self.forward_features(x) 2025-09-07T08:08:29.2427502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2427559Z x = blk(x) 2025-09-07T08:08:29.2427736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2427842Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2427845Z 2025-09-07T08:08:29.2427942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2428130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2428191Z return mod(*inputs) 2025-09-07T08:08:29.2428372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2428439Z x = self.forward_features(x) 2025-09-07T08:08:29.2428649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2428737Z x = blk(x) 2025-09-07T08:08:29.2428907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 192, in forward 2025-09-07T08:08:29.2429003Z cls_token = self.gamma2 * self.mlp(cls_token) 2025-09-07T08:08:29.2429182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T08:08:29.2429242Z x = self.fc1(x) 2025-09-07T08:08:29.2429251Z 2025-09-07T08:08:29.2429326Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2429401Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2429485Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2429558Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2429654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2429846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2429909Z return mod(*inputs) 2025-09-07T08:08:29.2430089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2430171Z x = self.forward_features(x) 2025-09-07T08:08:29.2430372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2430427Z x = blk(x) 2025-09-07T08:08:29.2430602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 192, in forward 2025-09-07T08:08:29.2430700Z cls_token = self.gamma2 * self.mlp(cls_token) 2025-09-07T08:08:29.2430704Z 2025-09-07T08:08:29.2430836Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2430947Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2431135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2431201Z return mod(*inputs) 2025-09-07T08:08:29.2431390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2431460Z x = self.forward_features(x) 2025-09-07T08:08:29.2431685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2431741Z x = blk(x) 2025-09-07T08:08:29.2431912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 193, in forward 2025-09-07T08:08:29.2432007Z x = torch.cat([cls_token, x[:, 1:]], dim=1) 2025-09-07T08:08:29.2432011Z 2025-09-07T08:08:29.2432105Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2432327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2432394Z return mod(*inputs) 2025-09-07T08:08:29.2432572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2432650Z x = self.forward_features(x) 2025-09-07T08:08:29.2432852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2432919Z x = blk(x) 2025-09-07T08:08:29.2433092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2433211Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2433391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2433555Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2433558Z 2025-09-07T08:08:29.2433667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2433854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2433930Z return mod(*inputs) 2025-09-07T08:08:29.2434125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2434213Z x = self.forward_features(x) 2025-09-07T08:08:29.2434429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2434491Z x = blk(x) 2025-09-07T08:08:29.2434679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2434791Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2434978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2435145Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2435149Z 2025-09-07T08:08:29.2435246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2435447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2435512Z return mod(*inputs) 2025-09-07T08:08:29.2435695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2435788Z x = self.forward_features(x) 2025-09-07T08:08:29.2435988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2436056Z x = blk(x) 2025-09-07T08:08:29.2436231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2436348Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2436522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 48, in forward 2025-09-07T08:08:29.2436681Z q = self.q(x[:, 0]).unsqueeze(1).reshape(B, 1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) 2025-09-07T08:08:29.2436686Z 2025-09-07T08:08:29.2436771Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2436851Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2436934Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2437010Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2437082Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2437192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2437379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2437448Z return mod(*inputs) 2025-09-07T08:08:29.2437638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2437709Z x = self.forward_features(x) 2025-09-07T08:08:29.2437919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2437978Z x = blk(x) 2025-09-07T08:08:29.2438164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2438275Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2438455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/cait.py", line 53, in forward 2025-09-07T08:08:29.2438581Z x_cls = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:08:29.2438584Z 2025-09-07T08:08:29.2438659Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2438740Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2438840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2439037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2439100Z return mod(*inputs) 2025-09-07T08:08:29.2439274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2439365Z x = self.forward_features(x) 2025-09-07T08:08:29.2439573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2439653Z x = blk(x) 2025-09-07T08:08:29.2439839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2439949Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2439952Z 2025-09-07T08:08:29.2440035Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2440134Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2440336Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2440402Z return mod(*inputs) 2025-09-07T08:08:29.2440583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2440660Z x = self.forward_features(x) 2025-09-07T08:08:29.2440872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2440940Z x = blk(x) 2025-09-07T08:08:29.2441120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 184, in forward 2025-09-07T08:08:29.2441241Z x_attn = torch.cat([self.attn(x_norm1), x_norm1[:, 1:]], dim=1) 2025-09-07T08:08:29.2441250Z 2025-09-07T08:08:29.2441351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2441538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2441607Z return mod(*inputs) 2025-09-07T08:08:29.2441782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2441860Z x = self.forward_features(x) 2025-09-07T08:08:29.2442060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2442118Z x = blk(x) 2025-09-07T08:08:29.2442297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 192, in forward 2025-09-07T08:08:29.2442388Z cls_token = self.gamma2 * self.mlp(cls_token) 2025-09-07T08:08:29.2442573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mlp.py", line 44, in forward 2025-09-07T08:08:29.2442635Z x = self.fc1(x) 2025-09-07T08:08:29.2442638Z 2025-09-07T08:08:29.2442713Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2442796Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2442869Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2442950Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2443063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2443250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2443320Z return mod(*inputs) 2025-09-07T08:08:29.2443497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2443576Z x = self.forward_features(x) 2025-09-07T08:08:29.2443778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2443837Z x = blk(x) 2025-09-07T08:08:29.2444020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 192, in forward 2025-09-07T08:08:29.2444110Z cls_token = self.gamma2 * self.mlp(cls_token) 2025-09-07T08:08:29.2444113Z 2025-09-07T08:08:29.2444195Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2444295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2444484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2444566Z return mod(*inputs) 2025-09-07T08:08:29.2444735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 554, in forward 2025-09-07T08:08:29.2444828Z x = self.forward_features(x) 2025-09-07T08:08:29.2445040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 542, in forward_features 2025-09-07T08:08:29.2445097Z x = blk(x) 2025-09-07T08:08:29.2445275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 193, in forward 2025-09-07T08:08:29.2445360Z x = torch.cat([cls_token, x[:, 1:]], dim=1) 2025-09-07T08:08:29.2445363Z 2025-09-07T08:08:29.2445469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:08:29.2445648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T08:08:29.2445720Z return mod(*inputs) 2025-09-07T08:08:29.2445890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 555, in forward 2025-09-07T08:08:29.2445961Z x = self.forward_head(x) 2025-09-07T08:08:29.2446158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/xcit.py", line 551, in forward_head 2025-09-07T08:08:29.2446243Z return x if pre_logits else self.head(x) 2025-09-07T08:08:29.2446246Z 2025-09-07T08:08:29.2446327Z cudagraph partition due to non gpu ops 2025-09-07T08:08:29.2446416Z cudagraph partition due to non gpu ops 2025-09-07T08:08:55.6646989Z pass 2025-09-07T08:08:55.6647507Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:57.5571813Z accuracy pass_rate=100.00% 2025-09-07T08:08:57.5572157Z calls_captured gmean=421.37x mean=527.385x 2025-09-07T08:08:57.5572422Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T08:08:57.5572679Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:08:57.5574602Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:08:57.5576767Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:08:57.5578829Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:08:57.5580990Z cudagraph_skips gmean=1.00x mean=1.000x 2025-09-07T08:08:57.5581815Z compilation_latency mean=39.086 seconds 2025-09-07T08:08:58.0712444Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cppwrapper-true* ]] 2025-09-07T08:08:58.0713031Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:08:58.0713912Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:08:58.7613262Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:08:58.7614345Z import pynvml # type: ignore[import] 2025-09-07T08:09:01.6109079Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:01.6109975Z import pynvml # type: ignore[import] 2025-09-07T08:09:03.7772451Z 2025-09-07T08:09:04.1581405Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:04.1581867Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:04.1584240Z cpu eval selecsls42b 2025-09-07T08:09:04.4732430Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:04.5257330Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:04.5810441Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:20.9217550Z pass 2025-09-07T08:09:20.9218105Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:22.8809749Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:22.8810705Z import pynvml # type: ignore[import] 2025-09-07T08:09:25.0433795Z 2025-09-07T08:09:25.2492817Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:25.2493160Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:25.2493450Z cpu eval spnasnet_100 2025-09-07T08:09:26.1702830Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:26.2232838Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:26.2747356Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:42.4400109Z pass 2025-09-07T08:09:42.4400822Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:44.4406524Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:09:44.4407294Z import pynvml # type: ignore[import] 2025-09-07T08:09:46.6056100Z 2025-09-07T08:09:48.2112961Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:09:48.2113292Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:09:48.2113546Z cpu eval swin_base_patch4_window7_224 2025-09-07T08:09:48.6216440Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:49.8207065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:51.0233035Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:39.4791448Z pass 2025-09-07T08:10:39.4791952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:42.0613373Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:10:42.0614287Z import pynvml # type: ignore[import] 2025-09-07T08:10:44.2233195Z 2025-09-07T08:10:46.3256508Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:46.3256818Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:10:46.3257098Z cpu eval swsl_resnext101_32x16d 2025-09-07T08:10:49.3438525Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:49.5917854Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:49.8530479Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:10.9922689Z pass 2025-09-07T08:11:10.9923129Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:13.1284197Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:13.1285123Z import pynvml # type: ignore[import] 2025-09-07T08:11:15.3036618Z 2025-09-07T08:11:15.5157214Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:15.5157625Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:15.5157888Z cpu eval tf_efficientnet_b0 2025-09-07T08:11:16.5595627Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:16.7494066Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:16.8107775Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:36.2070805Z pass 2025-09-07T08:11:36.2071384Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:38.2675396Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:11:38.2676323Z import pynvml # type: ignore[import] 2025-09-07T08:11:40.4269040Z 2025-09-07T08:11:40.8274833Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:40.8275539Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:40.8275779Z cpu eval tf_mixnet_l 2025-09-07T08:11:42.7686654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:42.8747967Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:42.9779712Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:16.8653988Z pass 2025-09-07T08:12:16.8654408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:19.0910371Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:19.0911244Z import pynvml # type: ignore[import] 2025-09-07T08:12:21.2678490Z 2025-09-07T08:12:21.6073387Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:21.6073707Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:21.6073955Z cpu eval tinynet_a 2025-09-07T08:12:22.7583850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:22.8246227Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:22.8891421Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:43.1121792Z pass 2025-09-07T08:12:43.1124265Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:45.1705947Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:12:45.1708394Z import pynvml # type: ignore[import] 2025-09-07T08:12:47.3468888Z 2025-09-07T08:12:48.2907214Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:48.2907694Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:48.2908070Z cpu eval tnt_s_patch16_224 2025-09-07T08:12:48.4963877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:49.3843790Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:50.2682287Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:30.9540784Z pass 2025-09-07T08:13:30.9541292Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:33.5250875Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:13:33.5251840Z import pynvml # type: ignore[import] 2025-09-07T08:13:35.6949071Z 2025-09-07T08:13:36.4335025Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:36.4335348Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:36.4335630Z cpu eval twins_pcpvt_base 2025-09-07T08:13:36.9535121Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:37.0786701Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:37.2018099Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:12.0545701Z pass 2025-09-07T08:14:12.0546556Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:14.4614705Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:14.4615505Z import pynvml # type: ignore[import] 2025-09-07T08:14:16.6320990Z 2025-09-07T08:14:17.1171886Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:17.1172452Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:17.1172899Z cpu eval visformer_small 2025-09-07T08:14:17.5842874Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:17.6953956Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:17.8045538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:38.7684419Z pass 2025-09-07T08:14:38.7684939Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:40.8090146Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:14:40.8091090Z import pynvml # type: ignore[import] 2025-09-07T08:14:42.9769165Z 2025-09-07T08:14:43.8049688Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:43.8050104Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:43.8050491Z cpu eval vit_base_patch16_224 2025-09-07T08:14:44.1282732Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:44.2254397Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:44.4300447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:01.8511099Z pass 2025-09-07T08:15:01.8511595Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:03.9498874Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:03.9499734Z import pynvml # type: ignore[import] 2025-09-07T08:15:06.1217502Z 2025-09-07T08:15:06.6788840Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:06.6789333Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:06.6789673Z cpu eval volo_d1_224 2025-09-07T08:15:07.0842494Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:07.4974180Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:07.9085517Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:36.8023734Z pass 2025-09-07T08:15:36.8024167Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:39.0915556Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:15:39.0916425Z import pynvml # type: ignore[import] 2025-09-07T08:15:41.2568819Z 2025-09-07T08:15:43.9813524Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:43.9814263Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:15:43.9814513Z cpu eval xcit_large_24_p8_224 2025-09-07T08:16:02.8997157Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:03.7797548Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:16:04.6587164Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:03.7765219Z pass 2025-09-07T08:17:03.7765651Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:06.0165512Z accuracy pass_rate=100.00% 2025-09-07T08:17:06.0169803Z calls_captured gmean=421.25x mean=527.077x 2025-09-07T08:17:06.0170163Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T08:17:06.0170448Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:17:06.0170908Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:17:06.0173095Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:17:06.0175242Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:17:06.0177210Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:17:06.0178033Z compilation_latency mean=28.569 seconds 2025-09-07T08:17:06.5583137Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:17:06.5584439Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:17:06.5585302Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *aotinductor-true* ]] 2025-09-07T08:17:06.5585794Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:17:06.5586012Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:17:06.5586834Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --export --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:17:07.2416835Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:07.2417762Z import pynvml # type: ignore[import] 2025-09-07T08:17:10.0985038Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:10.0986143Z import pynvml # type: ignore[import] 2025-09-07T08:17:12.2615679Z 2025-09-07T08:17:12.6420647Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:12.6420964Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:12.6421227Z cpu eval selecsls42b 2025-09-07T08:17:12.9589506Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:13.0122812Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:13.0652288Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:21.3077974Z pass 2025-09-07T08:17:21.3078397Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:22.6985871Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:22.6987084Z import pynvml # type: ignore[import] 2025-09-07T08:17:24.8666076Z 2025-09-07T08:17:25.0543633Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:25.0543957Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:25.0544220Z cpu eval spnasnet_100 2025-09-07T08:17:25.9848937Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:26.0373375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:26.0885085Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:34.7817917Z pass 2025-09-07T08:17:34.7818370Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:36.1492716Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:36.1493544Z import pynvml # type: ignore[import] 2025-09-07T08:17:38.3095648Z 2025-09-07T08:17:39.9115208Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:39.9115529Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:17:39.9116136Z cpu eval swin_base_patch4_window7_224 2025-09-07T08:17:40.3236168Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:41.5311989Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:42.7426078Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:55.1150966Z pass 2025-09-07T08:17:55.1151461Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:56.6284098Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:17:56.6285023Z import pynvml # type: ignore[import] 2025-09-07T08:17:58.7892914Z 2025-09-07T08:18:00.6960856Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:00.6961171Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:18:00.6961415Z cpu eval swsl_resnext101_32x16d 2025-09-07T08:18:03.7066181Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:03.9535758Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:04.1969458Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:13.5691409Z pass 2025-09-07T08:18:13.5691812Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:15.0678889Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:15.0679791Z import pynvml # type: ignore[import] 2025-09-07T08:18:17.2391618Z 2025-09-07T08:18:17.4501519Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:17.4501834Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:17.4502074Z cpu eval tf_efficientnet_b0 2025-09-07T08:18:18.4995936Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:18.5619159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:18.7526140Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:27.3549852Z pass 2025-09-07T08:18:27.3550261Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:28.7202134Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:28.7203003Z import pynvml # type: ignore[import] 2025-09-07T08:18:30.8987619Z 2025-09-07T08:18:31.3090215Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:31.3090582Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:31.3090857Z cpu eval tf_mixnet_l 2025-09-07T08:18:33.1955277Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:33.3050096Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:33.4115418Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:43.2603378Z pass 2025-09-07T08:18:43.2603782Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:44.7173513Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:44.7174463Z import pynvml # type: ignore[import] 2025-09-07T08:18:46.8838118Z 2025-09-07T08:18:47.2482383Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:47.2482693Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:48.3908209Z cpu eval tinynet_a 2025-09-07T08:18:48.3908691Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:48.4567600Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:48.5220022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:57.9691689Z pass 2025-09-07T08:18:57.9692130Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:59.3690678Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:18:59.3691773Z import pynvml # type: ignore[import] 2025-09-07T08:19:01.5388947Z 2025-09-07T08:19:02.4893151Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:02.4893597Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:02.4893988Z cpu eval tnt_s_patch16_224 2025-09-07T08:19:02.6956992Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:03.6004868Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:04.5096707Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:14.8716294Z pass 2025-09-07T08:19:14.8716756Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:16.3680445Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:19:16.3681794Z import pynvml # type: ignore[import] 2025-09-07T08:19:18.5372475Z 2025-09-07T08:19:19.2896302Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:19.2896629Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:19.2896877Z cpu eval twins_pcpvt_base 2025-09-07T08:19:19.8206310Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:19.9458076Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:20.0703942Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:30.5186495Z pass 2025-09-07T08:19:30.5186943Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:32.0501911Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:19:32.0502736Z import pynvml # type: ignore[import] 2025-09-07T08:19:34.2262669Z 2025-09-07T08:19:34.7131458Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:34.7131928Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:34.7132322Z cpu eval visformer_small 2025-09-07T08:19:35.1763439Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:35.2879788Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:35.3977248Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:43.4642579Z pass 2025-09-07T08:19:43.4643196Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:44.8212493Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:19:44.8213400Z import pynvml # type: ignore[import] 2025-09-07T08:19:46.9936569Z 2025-09-07T08:19:47.8218440Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:47.8218863Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:47.8219283Z cpu eval vit_base_patch16_224 2025-09-07T08:19:48.1464293Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:48.2253850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:48.4311801Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:56.2527597Z pass 2025-09-07T08:19:56.2528039Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:57.6694258Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:19:57.6695063Z import pynvml # type: ignore[import] 2025-09-07T08:19:59.8319068Z 2025-09-07T08:20:00.4063526Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:00.4063954Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:00.4064286Z cpu eval volo_d1_224 2025-09-07T08:20:00.8119416Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:01.2258630Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:01.6385559Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:10.9961096Z pass 2025-09-07T08:20:10.9961513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:12.8805836Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:20:12.8806752Z import pynvml # type: ignore[import] 2025-09-07T08:20:15.0478387Z 2025-09-07T08:20:17.8085281Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:17.8085637Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:20:17.8085889Z cpu eval xcit_large_24_p8_224 2025-09-07T08:20:36.8919469Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:37.7731918Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:38.6567753Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:51.9693162Z pass 2025-09-07T08:20:51.9693570Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:52.9295845Z accuracy pass_rate=100.00% 2025-09-07T08:20:52.9296225Z calls_captured gmean=500.68x mean=600.154x 2025-09-07T08:20:52.9298001Z unique_graphs gmean=1.00x mean=1.000x 2025-09-07T08:20:52.9299734Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:20:52.9302563Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:20:52.9304367Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:20:52.9306504Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:20:52.9308658Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:20:52.9309444Z compilation_latency mean=8.052 seconds 2025-09-07T08:20:53.4403403Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --accuracy --no-translation-validation --freezing --inference --amp --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:20:54.1178849Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:20:54.1179976Z import pynvml # type: ignore[import] 2025-09-07T08:20:56.9696588Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:20:56.9697434Z import pynvml # type: ignore[import] 2025-09-07T08:20:59.1334125Z 2025-09-07T08:20:59.5186859Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:59.5187169Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:59.5187416Z cpu eval selecsls42b 2025-09-07T08:20:59.8398598Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:59.8945894Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:59.9481243Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:17.7234634Z pass 2025-09-07T08:21:17.7235144Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:19.3884390Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:21:19.3885262Z import pynvml # type: ignore[import] 2025-09-07T08:21:21.5502859Z 2025-09-07T08:21:21.7343750Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:21.7344093Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:21.7344347Z cpu eval spnasnet_100 2025-09-07T08:21:22.6591348Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:22.7109279Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:22.7613186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:37.7372551Z pass 2025-09-07T08:21:37.7373038Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:39.4490838Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:21:39.4491661Z import pynvml # type: ignore[import] 2025-09-07T08:21:41.6200031Z 2025-09-07T08:21:43.2460329Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:43.2460648Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:21:43.2460897Z cpu eval swin_base_patch4_window7_224 2025-09-07T08:21:43.6605263Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:44.8731392Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:46.0840412Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:22:28.1159729Z pass 2025-09-07T08:22:28.1160156Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:22:30.5075267Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:22:30.5076179Z import pynvml # type: ignore[import] 2025-09-07T08:22:32.6712306Z 2025-09-07T08:22:34.5892764Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:22:34.5893225Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:22:34.5894098Z cpu eval swsl_resnext101_32x16d 2025-09-07T08:22:37.6118434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:22:37.8584498Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:22:38.1030087Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:22:59.9025031Z pass 2025-09-07T08:22:59.9025474Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:01.7773107Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:23:01.7774011Z import pynvml # type: ignore[import] 2025-09-07T08:23:03.9465705Z 2025-09-07T08:23:04.1491348Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:04.1491800Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:04.1492162Z cpu eval tf_efficientnet_b0 2025-09-07T08:23:05.1105113Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:05.1723001Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:05.3634917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:22.4497182Z pass 2025-09-07T08:23:22.4497631Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:24.1965962Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:23:24.1966959Z import pynvml # type: ignore[import] 2025-09-07T08:23:26.3656419Z 2025-09-07T08:23:26.7800448Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:26.7800793Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:26.7801043Z cpu eval tf_mixnet_l 2025-09-07T08:23:28.6588120Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:28.7676528Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:28.8740344Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:53.0602950Z pass 2025-09-07T08:23:53.0603346Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:55.0203804Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:23:55.0206297Z import pynvml # type: ignore[import] 2025-09-07T08:23:57.2072255Z 2025-09-07T08:23:57.5448061Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:57.5448382Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:57.5448632Z cpu eval tinynet_a 2025-09-07T08:23:58.5935202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:58.6615066Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:58.7273121Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:16.4510236Z pass 2025-09-07T08:24:16.4510867Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:18.2386729Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:24:18.2387993Z import pynvml # type: ignore[import] 2025-09-07T08:24:20.4083890Z 2025-09-07T08:24:21.3617965Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:21.3618398Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:21.3618753Z cpu eval tnt_s_patch16_224 2025-09-07T08:24:21.5678679Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:22.4615065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:23.3512712Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:50.7226122Z pass 2025-09-07T08:24:50.7226562Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:53.0613026Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:24:53.0613889Z import pynvml # type: ignore[import] 2025-09-07T08:24:55.2264852Z 2025-09-07T08:24:55.9656574Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:55.9656872Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:55.9657156Z cpu eval twins_pcpvt_base 2025-09-07T08:24:56.4912825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:56.6112540Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:56.7289584Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:27.2043849Z pass 2025-09-07T08:25:27.2044336Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:29.4593269Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:25:29.4594109Z import pynvml # type: ignore[import] 2025-09-07T08:25:31.6230248Z 2025-09-07T08:25:32.1095906Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:32.1096323Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:32.1096663Z cpu eval visformer_small 2025-09-07T08:25:32.5778957Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:32.6867850Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:32.7942413Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:49.9610518Z pass 2025-09-07T08:25:49.9610955Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:51.7067241Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:25:51.7068154Z import pynvml # type: ignore[import] 2025-09-07T08:25:53.8736204Z 2025-09-07T08:25:54.7041629Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:54.7042121Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:54.7042958Z cpu eval vit_base_patch16_224 2025-09-07T08:25:55.0265280Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:55.1044278Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:55.3083210Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:13.9038476Z pass 2025-09-07T08:26:13.9039060Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:15.6299305Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:15.6300097Z import pynvml # type: ignore[import] 2025-09-07T08:26:17.7983397Z 2025-09-07T08:26:18.6308207Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:18.6308686Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:18.6309083Z cpu eval volo_d1_224 2025-09-07T08:26:19.0351895Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:19.4588109Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:19.8730335Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:49.4413238Z pass 2025-09-07T08:26:49.4413853Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:51.3814082Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:26:51.3814888Z import pynvml # type: ignore[import] 2025-09-07T08:26:53.5463516Z 2025-09-07T08:26:56.2835775Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:56.2836265Z loading model: 0it [00:02, ?it/s] 2025-09-07T08:26:56.2836700Z cpu eval xcit_large_24_p8_224 2025-09-07T08:27:15.3315769Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:16.2065730Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:17.0969280Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:05.3043370Z pass 2025-09-07T08:28:05.3043788Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:07.3276190Z accuracy pass_rate=100.00% 2025-09-07T08:28:07.3276496Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3276759Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3279066Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3281469Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3283875Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3286226Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3288390Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:28:07.3289001Z compilation_latency mean=0.000 seconds 2025-09-07T08:28:07.8315624Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *maxautotune-true* ]] 2025-09-07T08:28:07.8316497Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cudagraphs_low_precision-true* ]] 2025-09-07T08:28:07.8317005Z + for target in "${targets[@]}" 2025-09-07T08:28:07.8317215Z + target_flag=('--performance') 2025-09-07T08:28:07.8317399Z + local target_flag 2025-09-07T08:28:07.8317936Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:28:07.8318269Z + target_flag+=(--cold-start-latency) 2025-09-07T08:28:07.8318736Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T08:28:07.8319199Z + target_flag+=(--freezing) 2025-09-07T08:28:07.8319639Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T08:28:07.8320747Z + taskset -c 0-93 python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 5 --partition-id 4 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv 2025-09-07T08:28:08.5171313Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:28:08.5172603Z import pynvml # type: ignore[import] 2025-09-07T08:28:11.3796641Z /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-09-07T08:28:11.3797421Z import pynvml # type: ignore[import] 2025-09-07T08:28:13.5524128Z 2025-09-07T08:28:14.2210055Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:14.2210398Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:14.2210645Z cpu eval selecsls42b 2025-09-07T08:28:36.0605499Z 2025-09-07T08:28:36.1920012Z running benchmark: 0% 0/30 [00:00 2025-09-07T09:02:01.0902913Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0903069Z 2025-09-07T09:02:01.0903184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0903530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0903847Z return mod(*inputs) 2025-09-07T09:02:01.0904163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0904509Z x = self.forward_features(x) 2025-09-07T09:02:01.0904856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0905216Z x = self.blocks(x) 2025-09-07T09:02:01.0905543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.0905919Z x = self.conv_pw(x) 2025-09-07T09:02:01.0906221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0906594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0906979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0907349Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0907502Z 2025-09-07T09:02:01.0907610Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0907953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0908267Z return mod(*inputs) 2025-09-07T09:02:01.0908583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0908919Z x = self.forward_features(x) 2025-09-07T09:02:01.0909275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0909622Z x = self.blocks(x) 2025-09-07T09:02:01.0909940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.0910286Z x = self.conv_pw(x) 2025-09-07T09:02:01.0910584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0910934Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0911294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0911657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0911817Z 2025-09-07T09:02:01.0911929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0912277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0912591Z return mod(*inputs) 2025-09-07T09:02:01.0912897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0913240Z x = self.forward_features(x) 2025-09-07T09:02:01.0913592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0913940Z x = self.blocks(x) 2025-09-07T09:02:01.0914252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.0914589Z x = self.conv_pw(x) 2025-09-07T09:02:01.0914892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0915271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0915635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0915999Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0916163Z 2025-09-07T09:02:01.0916247Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.0916463Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.0916699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0917037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0917350Z return mod(*inputs) 2025-09-07T09:02:01.0917667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0918005Z x = self.forward_features(x) 2025-09-07T09:02:01.0918355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0918706Z x = self.blocks(x) 2025-09-07T09:02:01.0919028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.0919398Z x = self.conv_pw(x) 2025-09-07T09:02:01.0919717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.0920062Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.0920181Z 2025-09-07T09:02:01.0920282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0920626Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0920945Z return mod(*inputs) 2025-09-07T09:02:01.0921245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0921578Z x = self.forward_features(x) 2025-09-07T09:02:01.0921929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0922277Z x = self.blocks(x) 2025-09-07T09:02:01.0922604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0922942Z x = self.conv_dw(x) 2025-09-07T09:02:01.0923244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0923602Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0923968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0924325Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0924677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0924998Z return conv2d_same( 2025-09-07T09:02:01.0925309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.0925677Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.0926025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.0926438Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.0926820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.0927165Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.0927312Z 2025-09-07T09:02:01.0927420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0927765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0928089Z return mod(*inputs) 2025-09-07T09:02:01.0928424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0928763Z x = self.forward_features(x) 2025-09-07T09:02:01.0929109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0929464Z x = self.blocks(x) 2025-09-07T09:02:01.0929794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0930144Z x = self.conv_dw(x) 2025-09-07T09:02:01.0930449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0930893Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0931267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0931641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0931998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0932385Z return conv2d_same( 2025-09-07T09:02:01.0932744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0933178Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0933366Z 2025-09-07T09:02:01.0933472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0933827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0934136Z return mod(*inputs) 2025-09-07T09:02:01.0934452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0934783Z x = self.forward_features(x) 2025-09-07T09:02:01.0935133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0935481Z x = self.blocks(x) 2025-09-07T09:02:01.0935795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0936136Z x = self.conv_dw(x) 2025-09-07T09:02:01.0936441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0936808Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0937171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0937545Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0937895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0938218Z return conv2d_same( 2025-09-07T09:02:01.0938528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0938920Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0939105Z 2025-09-07T09:02:01.0939207Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0939551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0939873Z return mod(*inputs) 2025-09-07T09:02:01.0940180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0940512Z x = self.forward_features(x) 2025-09-07T09:02:01.0940856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0941208Z x = self.blocks(x) 2025-09-07T09:02:01.0941525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0941885Z x = self.conv_dw(x) 2025-09-07T09:02:01.0942190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0942552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0942920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0943295Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0943657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0943978Z return conv2d_same( 2025-09-07T09:02:01.0944294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.0944669Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.0945013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.0945435Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.0945857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.0946232Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.0946398Z 2025-09-07T09:02:01.0946507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0946856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0947175Z return mod(*inputs) 2025-09-07T09:02:01.0947488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0947822Z x = self.forward_features(x) 2025-09-07T09:02:01.0948173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0948518Z x = self.blocks(x) 2025-09-07T09:02:01.0948846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0949192Z x = self.conv_dw(x) 2025-09-07T09:02:01.0949495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0949850Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0950221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0950594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0950946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0951270Z return conv2d_same( 2025-09-07T09:02:01.0951581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0951970Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0952160Z 2025-09-07T09:02:01.0952263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0952606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0952928Z return mod(*inputs) 2025-09-07T09:02:01.0953227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0953571Z x = self.forward_features(x) 2025-09-07T09:02:01.0953922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0954276Z x = self.blocks(x) 2025-09-07T09:02:01.0954592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0954934Z x = self.conv_dw(x) 2025-09-07T09:02:01.0955253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0955624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0955996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0956357Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0956722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0957048Z return conv2d_same( 2025-09-07T09:02:01.0957364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0957761Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0957937Z 2025-09-07T09:02:01.0958046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0958402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0958735Z return mod(*inputs) 2025-09-07T09:02:01.0959050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0959404Z x = self.forward_features(x) 2025-09-07T09:02:01.0959769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0960121Z x = self.blocks(x) 2025-09-07T09:02:01.0960446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0960785Z x = self.conv_dw(x) 2025-09-07T09:02:01.0961087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0961446Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0961814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0962188Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0962538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0962856Z return conv2d_same( 2025-09-07T09:02:01.0963167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.0963537Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.0963882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.0964258Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.0964634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.0964973Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.0965124Z 2025-09-07T09:02:01.0965233Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0965587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0965899Z return mod(*inputs) 2025-09-07T09:02:01.0966215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0966548Z x = self.forward_features(x) 2025-09-07T09:02:01.0966899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0967239Z x = self.blocks(x) 2025-09-07T09:02:01.0967569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0967912Z x = self.conv_dw(x) 2025-09-07T09:02:01.0968227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0968592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0968954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0969333Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0969688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0970019Z return conv2d_same( 2025-09-07T09:02:01.0970323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0970714Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0970906Z 2025-09-07T09:02:01.0971008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0971362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0971680Z return mod(*inputs) 2025-09-07T09:02:01.0971981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0972338Z x = self.forward_features(x) 2025-09-07T09:02:01.0972704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0973823Z x = self.blocks(x) 2025-09-07T09:02:01.0974152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0974487Z x = self.conv_dw(x) 2025-09-07T09:02:01.0974796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0975156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0975527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0975883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0976239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.0976590Z return conv2d_same( 2025-09-07T09:02:01.0976912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.0977298Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.0977471Z 2025-09-07T09:02:01.0977554Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.0977767Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.0977977Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.0978208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0978541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0978854Z return mod(*inputs) 2025-09-07T09:02:01.0979164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0979501Z x = self.forward_features(x) 2025-09-07T09:02:01.0979849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0980190Z x = self.blocks(x) 2025-09-07T09:02:01.0980514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.0980862Z x = self.conv_dw(x) 2025-09-07T09:02:01.0981157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.0981474Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.0981591Z 2025-09-07T09:02:01.0981691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0982065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0982383Z return mod(*inputs) 2025-09-07T09:02:01.0982692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0983018Z x = self.forward_features(x) 2025-09-07T09:02:01.0983371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0983726Z x = self.blocks(x) 2025-09-07T09:02:01.0984055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T09:02:01.0984387Z x = self.bn2(x) 2025-09-07T09:02:01.0984681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.0984990Z x = self.act(x) 2025-09-07T09:02:01.0985083Z 2025-09-07T09:02:01.0985202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0985556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0985896Z return mod(*inputs) 2025-09-07T09:02:01.0986203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0986565Z x = self.forward_features(x) 2025-09-07T09:02:01.0986930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0987269Z x = self.blocks(x) 2025-09-07T09:02:01.0987594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.0987943Z x = self.conv_pwl(x) 2025-09-07T09:02:01.0988254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0988616Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0988975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0989342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0989499Z 2025-09-07T09:02:01.0989602Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0989947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0990262Z return mod(*inputs) 2025-09-07T09:02:01.0990567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0990897Z x = self.forward_features(x) 2025-09-07T09:02:01.0991241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0991587Z x = self.blocks(x) 2025-09-07T09:02:01.0991906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.0992252Z x = self.conv_pwl(x) 2025-09-07T09:02:01.0992560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0992920Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0993287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0993648Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0993806Z 2025-09-07T09:02:01.0993905Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0994245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0994559Z return mod(*inputs) 2025-09-07T09:02:01.0994860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0995214Z x = self.forward_features(x) 2025-09-07T09:02:01.0995558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.0995905Z x = self.blocks(x) 2025-09-07T09:02:01.0996225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.0996564Z x = self.conv_pwl(x) 2025-09-07T09:02:01.0996872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.0997229Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0997597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.0997960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.0998108Z 2025-09-07T09:02:01.0998210Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.0998559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.0998869Z return mod(*inputs) 2025-09-07T09:02:01.0999197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.0999538Z x = self.forward_features(x) 2025-09-07T09:02:01.0999897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1000247Z x = self.blocks(x) 2025-09-07T09:02:01.1000577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1000921Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1001220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1001576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1001943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1002311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1002462Z 2025-09-07T09:02:01.1002542Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1002760Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1002997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1003337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1003652Z return mod(*inputs) 2025-09-07T09:02:01.1003952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1004282Z x = self.forward_features(x) 2025-09-07T09:02:01.1004627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1004974Z x = self.blocks(x) 2025-09-07T09:02:01.1005286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1005631Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1005937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1006263Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1006373Z 2025-09-07T09:02:01.1006479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1006812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1007122Z return mod(*inputs) 2025-09-07T09:02:01.1007427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1007758Z x = self.forward_features(x) 2025-09-07T09:02:01.1008114Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1008466Z x = self.blocks(x) 2025-09-07T09:02:01.1008782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward 2025-09-07T09:02:01.1009119Z x = self.bn3(x) 2025-09-07T09:02:01.1009422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 115, in forward 2025-09-07T09:02:01.1009727Z x = F.batch_norm( 2025-09-07T09:02:01.1009833Z 2025-09-07T09:02:01.1009934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1010279Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1010590Z return mod(*inputs) 2025-09-07T09:02:01.1010886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1011220Z x = self.forward_features(x) 2025-09-07T09:02:01.1011569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1011913Z x = self.blocks(x) 2025-09-07T09:02:01.1012251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1012588Z x = self.conv_pw(x) 2025-09-07T09:02:01.1012908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1013282Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1013653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1014021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1014184Z 2025-09-07T09:02:01.1014288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1014644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1014967Z return mod(*inputs) 2025-09-07T09:02:01.1015283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1015617Z x = self.forward_features(x) 2025-09-07T09:02:01.1015971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1016329Z x = self.blocks(x) 2025-09-07T09:02:01.1016656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1016997Z x = self.conv_pw(x) 2025-09-07T09:02:01.1017306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1017671Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1018046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1018420Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1018574Z 2025-09-07T09:02:01.1018677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1019038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1019363Z return mod(*inputs) 2025-09-07T09:02:01.1019675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1020017Z x = self.forward_features(x) 2025-09-07T09:02:01.1020364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1020722Z x = self.blocks(x) 2025-09-07T09:02:01.1021054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1021402Z x = self.conv_pw(x) 2025-09-07T09:02:01.1021714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1022075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1022443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1022817Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1022970Z 2025-09-07T09:02:01.1023077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1023414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1023728Z return mod(*inputs) 2025-09-07T09:02:01.1024032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1024363Z x = self.forward_features(x) 2025-09-07T09:02:01.1024704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1025051Z x = self.blocks(x) 2025-09-07T09:02:01.1025368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1025726Z x = self.conv_pw(x) 2025-09-07T09:02:01.1026048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1026416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1026785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1027156Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1027309Z 2025-09-07T09:02:01.1027400Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1027610Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1027848Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1028202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1028523Z return mod(*inputs) 2025-09-07T09:02:01.1028843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1029179Z x = self.forward_features(x) 2025-09-07T09:02:01.1029535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1029894Z x = self.blocks(x) 2025-09-07T09:02:01.1030227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1030565Z x = self.conv_pw(x) 2025-09-07T09:02:01.1030919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1031249Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1031361Z 2025-09-07T09:02:01.1031474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1031827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1032140Z return mod(*inputs) 2025-09-07T09:02:01.1032454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1032798Z x = self.forward_features(x) 2025-09-07T09:02:01.1033148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1033575Z x = self.blocks(x) 2025-09-07T09:02:01.1033901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1034241Z x = self.bn1(x) 2025-09-07T09:02:01.1034530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1034846Z x = self.act(x) 2025-09-07T09:02:01.1034992Z 2025-09-07T09:02:01.1035095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1035444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1035760Z return mod(*inputs) 2025-09-07T09:02:01.1036069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1036396Z x = self.forward_features(x) 2025-09-07T09:02:01.1036744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1037098Z x = self.blocks(x) 2025-09-07T09:02:01.1037424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T09:02:01.1037763Z x = self.bn2(x) 2025-09-07T09:02:01.1038048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1038362Z x = self.act(x) 2025-09-07T09:02:01.1038458Z 2025-09-07T09:02:01.1038559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1038925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1039249Z return mod(*inputs) 2025-09-07T09:02:01.1039584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1039916Z x = self.forward_features(x) 2025-09-07T09:02:01.1040263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1040614Z x = self.blocks(x) 2025-09-07T09:02:01.1040931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T09:02:01.1041274Z x = self.bn2(x) 2025-09-07T09:02:01.1041570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1041886Z x = self.act(x) 2025-09-07T09:02:01.1041977Z 2025-09-07T09:02:01.1042081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1042432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1042744Z return mod(*inputs) 2025-09-07T09:02:01.1043055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1043392Z x = self.forward_features(x) 2025-09-07T09:02:01.1043732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1044084Z x = self.blocks(x) 2025-09-07T09:02:01.1044406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1044753Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1045060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1045427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1045803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1046175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1046326Z 2025-09-07T09:02:01.1046436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1046777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1047093Z return mod(*inputs) 2025-09-07T09:02:01.1047401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1047731Z x = self.forward_features(x) 2025-09-07T09:02:01.1048087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1048433Z x = self.blocks(x) 2025-09-07T09:02:01.1048752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1049091Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1049403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1049752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1050113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1050479Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1050627Z 2025-09-07T09:02:01.1050735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1051078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1051385Z return mod(*inputs) 2025-09-07T09:02:01.1051687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1052040Z x = self.forward_features(x) 2025-09-07T09:02:01.1052408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1052762Z x = self.blocks(x) 2025-09-07T09:02:01.1053082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1053428Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1053735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1054095Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1054456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1054822Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1054979Z 2025-09-07T09:02:01.1055082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1055432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1055740Z return mod(*inputs) 2025-09-07T09:02:01.1056050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1056384Z x = self.forward_features(x) 2025-09-07T09:02:01.1056728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1057080Z x = self.blocks(x) 2025-09-07T09:02:01.1057398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1057741Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1058054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1058416Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1058781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1059158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1059330Z 2025-09-07T09:02:01.1059410Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1059634Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1059887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1060237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1060570Z return mod(*inputs) 2025-09-07T09:02:01.1060891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1061250Z x = self.forward_features(x) 2025-09-07T09:02:01.1061601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1061948Z x = self.blocks(x) 2025-09-07T09:02:01.1062281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1062637Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1062953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1063284Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1063410Z 2025-09-07T09:02:01.1063515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1063866Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1064199Z return mod(*inputs) 2025-09-07T09:02:01.1064528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1064912Z x = self.forward_features(x) 2025-09-07T09:02:01.1065279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1065655Z x = self.blocks(x) 2025-09-07T09:02:01.1065998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1066369Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1066500Z 2025-09-07T09:02:01.1066605Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1066958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1067281Z return mod(*inputs) 2025-09-07T09:02:01.1067603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1067946Z x = self.forward_features(x) 2025-09-07T09:02:01.1068295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1068653Z x = self.blocks(x) 2025-09-07T09:02:01.1068983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1069326Z x = self.bn1(x) 2025-09-07T09:02:01.1069619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1069945Z x = self.act(x) 2025-09-07T09:02:01.1070046Z 2025-09-07T09:02:01.1070153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1070512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1070840Z return mod(*inputs) 2025-09-07T09:02:01.1071155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1071498Z x = self.forward_features(x) 2025-09-07T09:02:01.1071857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1072223Z x = self.blocks(x) 2025-09-07T09:02:01.1072548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1072901Z x = self.bn1(x) 2025-09-07T09:02:01.1073200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1073527Z x = self.act(x) 2025-09-07T09:02:01.1073621Z 2025-09-07T09:02:01.1073734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1074091Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1074417Z return mod(*inputs) 2025-09-07T09:02:01.1074739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1075104Z x = self.forward_features(x) 2025-09-07T09:02:01.1075448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1075798Z x = self.blocks(x) 2025-09-07T09:02:01.1076124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1076470Z x = self.conv_dw(x) 2025-09-07T09:02:01.1076778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1077137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1077506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1077878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1078240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1078554Z return conv2d_same( 2025-09-07T09:02:01.1078868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1079776Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1080135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1080569Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1080939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1081288Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1081446Z 2025-09-07T09:02:01.1081551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1081907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1082228Z return mod(*inputs) 2025-09-07T09:02:01.1082538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1082881Z x = self.forward_features(x) 2025-09-07T09:02:01.1083235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1083589Z x = self.blocks(x) 2025-09-07T09:02:01.1083907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1084248Z x = self.conv_dw(x) 2025-09-07T09:02:01.1084557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1084922Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1085289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1085657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1086016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1086346Z return conv2d_same( 2025-09-07T09:02:01.1086658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1087053Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1087239Z 2025-09-07T09:02:01.1087340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1087691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1088010Z return mod(*inputs) 2025-09-07T09:02:01.1088320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1088667Z x = self.forward_features(x) 2025-09-07T09:02:01.1089012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1089359Z x = self.blocks(x) 2025-09-07T09:02:01.1089685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1090017Z x = self.conv_dw(x) 2025-09-07T09:02:01.1090317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1090677Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1091042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1091403Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1091749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1092069Z return conv2d_same( 2025-09-07T09:02:01.1092378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1092786Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1092958Z 2025-09-07T09:02:01.1093080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1093441Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1093758Z return mod(*inputs) 2025-09-07T09:02:01.1094066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1094404Z x = self.forward_features(x) 2025-09-07T09:02:01.1094744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1095095Z x = self.blocks(x) 2025-09-07T09:02:01.1095426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1095765Z x = self.conv_dw(x) 2025-09-07T09:02:01.1096071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1096427Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1096798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1097169Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1097523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1097837Z return conv2d_same( 2025-09-07T09:02:01.1098155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1098522Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1098865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1099256Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1099631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1099974Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1100128Z 2025-09-07T09:02:01.1100230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1100575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1100890Z return mod(*inputs) 2025-09-07T09:02:01.1101193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1101530Z x = self.forward_features(x) 2025-09-07T09:02:01.1101898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1102250Z x = self.blocks(x) 2025-09-07T09:02:01.1102570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1102913Z x = self.conv_dw(x) 2025-09-07T09:02:01.1103219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1103583Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1103951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1104313Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1104673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1104994Z return conv2d_same( 2025-09-07T09:02:01.1105308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1105708Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1105890Z 2025-09-07T09:02:01.1106008Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1106375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1106693Z return mod(*inputs) 2025-09-07T09:02:01.1107008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1107335Z x = self.forward_features(x) 2025-09-07T09:02:01.1107692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1108042Z x = self.blocks(x) 2025-09-07T09:02:01.1108368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1108705Z x = self.conv_dw(x) 2025-09-07T09:02:01.1109005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1109367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1109735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1110101Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1110449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1110770Z return conv2d_same( 2025-09-07T09:02:01.1111082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1111474Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1111648Z 2025-09-07T09:02:01.1111761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1112096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1112411Z return mod(*inputs) 2025-09-07T09:02:01.1112721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1113059Z x = self.forward_features(x) 2025-09-07T09:02:01.1113399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1113748Z x = self.blocks(x) 2025-09-07T09:02:01.1114074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1114409Z x = self.conv_dw(x) 2025-09-07T09:02:01.1114709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1115081Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1115446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1115811Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1116167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1116490Z return conv2d_same( 2025-09-07T09:02:01.1116792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1117168Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1117519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1117901Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1118282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1118622Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1118787Z 2025-09-07T09:02:01.1118898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1119264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1119592Z return mod(*inputs) 2025-09-07T09:02:01.1119906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1120250Z x = self.forward_features(x) 2025-09-07T09:02:01.1120600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1120943Z x = self.blocks(x) 2025-09-07T09:02:01.1121273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1121611Z x = self.conv_dw(x) 2025-09-07T09:02:01.1121912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1122273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1122638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1123008Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1123359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1123675Z return conv2d_same( 2025-09-07T09:02:01.1123979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1124370Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1124548Z 2025-09-07T09:02:01.1124652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1124996Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1144945Z return mod(*inputs) 2025-09-07T09:02:01.1145345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1145715Z x = self.forward_features(x) 2025-09-07T09:02:01.1146078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1146439Z x = self.blocks(x) 2025-09-07T09:02:01.1146779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1147131Z x = self.conv_dw(x) 2025-09-07T09:02:01.1147451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1147922Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1148307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1148688Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1149061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1149396Z return conv2d_same( 2025-09-07T09:02:01.1149708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1150109Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1150302Z 2025-09-07T09:02:01.1150417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1150781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1151097Z return mod(*inputs) 2025-09-07T09:02:01.1151416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1151759Z x = self.forward_features(x) 2025-09-07T09:02:01.1152161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1152549Z x = self.blocks(x) 2025-09-07T09:02:01.1152898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1153245Z x = self.conv_dw(x) 2025-09-07T09:02:01.1153552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1153915Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1154274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1154641Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1154998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1155317Z return conv2d_same( 2025-09-07T09:02:01.1155634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1155996Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1156353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1156751Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1157138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1157484Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1157635Z 2025-09-07T09:02:01.1157741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1158096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1158417Z return mod(*inputs) 2025-09-07T09:02:01.1158729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1159063Z x = self.forward_features(x) 2025-09-07T09:02:01.1159422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1159779Z x = self.blocks(x) 2025-09-07T09:02:01.1160104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1160448Z x = self.conv_dw(x) 2025-09-07T09:02:01.1160744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1161109Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1161495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1161868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1162219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1162543Z return conv2d_same( 2025-09-07T09:02:01.1162857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1163253Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1163428Z 2025-09-07T09:02:01.1163543Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1163886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1164202Z return mod(*inputs) 2025-09-07T09:02:01.1164516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1164857Z x = self.forward_features(x) 2025-09-07T09:02:01.1165199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1165570Z x = self.blocks(x) 2025-09-07T09:02:01.1165914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1166276Z x = self.conv_dw(x) 2025-09-07T09:02:01.1166582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1166938Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1167314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1167683Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1168040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1168356Z return conv2d_same( 2025-09-07T09:02:01.1168661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1169057Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1169247Z 2025-09-07T09:02:01.1169331Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1169550Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1169754Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1169959Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1170981Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1171337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1171652Z return mod(*inputs) 2025-09-07T09:02:01.1171963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1172303Z x = self.forward_features(x) 2025-09-07T09:02:01.1172658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1173013Z x = self.blocks(x) 2025-09-07T09:02:01.1173334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1173683Z x = self.conv_dw(x) 2025-09-07T09:02:01.1173989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1174318Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1174430Z 2025-09-07T09:02:01.1174520Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1174748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1175102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1175442Z return mod(*inputs) 2025-09-07T09:02:01.1175757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1176097Z x = self.forward_features(x) 2025-09-07T09:02:01.1176459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1176818Z x = self.blocks(x) 2025-09-07T09:02:01.1177149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1177495Z x = self.se(x) 2025-09-07T09:02:01.1177817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1178176Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1178309Z 2025-09-07T09:02:01.1178427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1178791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1179103Z return mod(*inputs) 2025-09-07T09:02:01.1179442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1179797Z x = self.forward_features(x) 2025-09-07T09:02:01.1180148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1180536Z x = self.blocks(x) 2025-09-07T09:02:01.1180850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1181188Z x = self.se(x) 2025-09-07T09:02:01.1181502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1181842Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1181951Z 2025-09-07T09:02:01.1182051Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1182407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1182722Z return mod(*inputs) 2025-09-07T09:02:01.1183028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1183361Z x = self.forward_features(x) 2025-09-07T09:02:01.1183704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1184051Z x = self.blocks(x) 2025-09-07T09:02:01.1184372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1184704Z x = self.se(x) 2025-09-07T09:02:01.1185002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1185341Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1185454Z 2025-09-07T09:02:01.1185556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1185908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1186223Z return mod(*inputs) 2025-09-07T09:02:01.1186522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1186853Z x = self.forward_features(x) 2025-09-07T09:02:01.1187198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1187537Z x = self.blocks(x) 2025-09-07T09:02:01.1187862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1188200Z x = self.se(x) 2025-09-07T09:02:01.1188508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1188860Z return x * self.gate(x_se) 2025-09-07T09:02:01.1188982Z 2025-09-07T09:02:01.1189084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1189429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1189742Z return mod(*inputs) 2025-09-07T09:02:01.1190042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1190379Z x = self.forward_features(x) 2025-09-07T09:02:01.1190724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1191070Z x = self.blocks(x) 2025-09-07T09:02:01.1191387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1191715Z x = self.se(x) 2025-09-07T09:02:01.1192021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1192360Z return x * self.gate(x_se) 2025-09-07T09:02:01.1192473Z 2025-09-07T09:02:01.1192596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1192961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1193497Z return mod(*inputs) 2025-09-07T09:02:01.1193805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1194140Z x = self.forward_features(x) 2025-09-07T09:02:01.1194487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1194827Z x = self.blocks(x) 2025-09-07T09:02:01.1195147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1195483Z x = self.se(x) 2025-09-07T09:02:01.1195794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1196131Z return x * self.gate(x_se) 2025-09-07T09:02:01.1196252Z 2025-09-07T09:02:01.1196356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1196712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1197027Z return mod(*inputs) 2025-09-07T09:02:01.1197338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1197661Z x = self.forward_features(x) 2025-09-07T09:02:01.1198008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1198355Z x = self.blocks(x) 2025-09-07T09:02:01.1198676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1199009Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1199123Z 2025-09-07T09:02:01.1199223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1199576Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1199892Z return mod(*inputs) 2025-09-07T09:02:01.1200199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1200525Z x = self.forward_features(x) 2025-09-07T09:02:01.1200868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1201212Z x = self.blocks(x) 2025-09-07T09:02:01.1201532Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1201867Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1201981Z 2025-09-07T09:02:01.1202098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1202445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1202758Z return mod(*inputs) 2025-09-07T09:02:01.1203068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1203395Z x = self.forward_features(x) 2025-09-07T09:02:01.1203742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1204087Z x = self.blocks(x) 2025-09-07T09:02:01.1204406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1204735Z x = self.conv_pw(x) 2025-09-07T09:02:01.1205039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1205404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1205774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1206159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1206312Z 2025-09-07T09:02:01.1206432Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1206788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1207106Z return mod(*inputs) 2025-09-07T09:02:01.1207423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1207759Z x = self.forward_features(x) 2025-09-07T09:02:01.1208104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1208454Z x = self.blocks(x) 2025-09-07T09:02:01.1208781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1209125Z x = self.conv_pw(x) 2025-09-07T09:02:01.1209429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1209800Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1210176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1210552Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1210705Z 2025-09-07T09:02:01.1210819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1211165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1211489Z return mod(*inputs) 2025-09-07T09:02:01.1211804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1212147Z x = self.forward_features(x) 2025-09-07T09:02:01.1212492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1212850Z x = self.blocks(x) 2025-09-07T09:02:01.1213183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1213532Z x = self.conv_pw(x) 2025-09-07T09:02:01.1213840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1214198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1214570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1214941Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1215099Z 2025-09-07T09:02:01.1215213Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1215586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1215895Z return mod(*inputs) 2025-09-07T09:02:01.1216210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1216550Z x = self.forward_features(x) 2025-09-07T09:02:01.1216899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1217238Z x = self.blocks(x) 2025-09-07T09:02:01.1217562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1217901Z x = self.conv_pw(x) 2025-09-07T09:02:01.1218205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1218569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1218930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1219312Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1219475Z 2025-09-07T09:02:01.1219575Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1219791Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1220036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1220383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1220693Z return mod(*inputs) 2025-09-07T09:02:01.1220997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1221327Z x = self.forward_features(x) 2025-09-07T09:02:01.1221665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1222010Z x = self.blocks(x) 2025-09-07T09:02:01.1222331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1222671Z x = self.conv_pw(x) 2025-09-07T09:02:01.1222965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1223291Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1223408Z 2025-09-07T09:02:01.1223507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1223851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1224160Z return mod(*inputs) 2025-09-07T09:02:01.1224456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1224788Z x = self.forward_features(x) 2025-09-07T09:02:01.1225136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1225481Z x = self.blocks(x) 2025-09-07T09:02:01.1225793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1226131Z x = self.conv_dw(x) 2025-09-07T09:02:01.1226432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1226792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1227164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1227523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1227683Z 2025-09-07T09:02:01.1227783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1228128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1228455Z return mod(*inputs) 2025-09-07T09:02:01.1228757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1229089Z x = self.forward_features(x) 2025-09-07T09:02:01.1229436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1229782Z x = self.blocks(x) 2025-09-07T09:02:01.1230102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1230429Z x = self.conv_dw(x) 2025-09-07T09:02:01.1230730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1231134Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1231497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1231854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1232020Z 2025-09-07T09:02:01.1232160Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1232502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1232841Z return mod(*inputs) 2025-09-07T09:02:01.1233181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1233511Z x = self.forward_features(x) 2025-09-07T09:02:01.1233863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1234219Z x = self.blocks(x) 2025-09-07T09:02:01.1234541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1234883Z x = self.conv_dw(x) 2025-09-07T09:02:01.1235176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1235536Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1235903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1236268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1236422Z 2025-09-07T09:02:01.1236544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1236871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1237177Z return mod(*inputs) 2025-09-07T09:02:01.1237477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1237806Z x = self.forward_features(x) 2025-09-07T09:02:01.1238142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1238471Z x = self.blocks(x) 2025-09-07T09:02:01.1238783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1239115Z x = self.conv_dw(x) 2025-09-07T09:02:01.1239407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1239750Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1240106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1240459Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1240603Z 2025-09-07T09:02:01.1240690Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1240896Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1241116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1241473Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1241780Z return mod(*inputs) 2025-09-07T09:02:01.1242087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1242405Z x = self.forward_features(x) 2025-09-07T09:02:01.1242748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1243088Z x = self.blocks(x) 2025-09-07T09:02:01.1243402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1243734Z x = self.conv_dw(x) 2025-09-07T09:02:01.1244023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1244342Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1244458Z 2025-09-07T09:02:01.1244538Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1244767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1245096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1245423Z return mod(*inputs) 2025-09-07T09:02:01.1245738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1246096Z x = self.forward_features(x) 2025-09-07T09:02:01.1246440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1246776Z x = self.blocks(x) 2025-09-07T09:02:01.1247092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1247424Z x = self.se(x) 2025-09-07T09:02:01.1247732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1248071Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1248207Z 2025-09-07T09:02:01.1248308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1248653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1248968Z return mod(*inputs) 2025-09-07T09:02:01.1249276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1249603Z x = self.forward_features(x) 2025-09-07T09:02:01.1249949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1250299Z x = self.blocks(x) 2025-09-07T09:02:01.1250617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1250941Z x = self.se(x) 2025-09-07T09:02:01.1251242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1251572Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1251678Z 2025-09-07T09:02:01.1251784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1252122Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1252430Z return mod(*inputs) 2025-09-07T09:02:01.1252735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1253059Z x = self.forward_features(x) 2025-09-07T09:02:01.1253396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1253731Z x = self.blocks(x) 2025-09-07T09:02:01.1254040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1254364Z x = self.se(x) 2025-09-07T09:02:01.1254676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1254995Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1255106Z 2025-09-07T09:02:01.1255202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1255528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1255824Z return mod(*inputs) 2025-09-07T09:02:01.1256116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1256424Z x = self.forward_features(x) 2025-09-07T09:02:01.1256753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1257080Z x = self.blocks(x) 2025-09-07T09:02:01.1257378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1257692Z x = self.se(x) 2025-09-07T09:02:01.1257985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1258330Z return x * self.gate(x_se) 2025-09-07T09:02:01.1258436Z 2025-09-07T09:02:01.1258552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1258889Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1259179Z return mod(*inputs) 2025-09-07T09:02:01.1259474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1259791Z x = self.forward_features(x) 2025-09-07T09:02:01.1260117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1260442Z x = self.blocks(x) 2025-09-07T09:02:01.1260752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1261078Z x = self.se(x) 2025-09-07T09:02:01.1261379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1261710Z return x * self.gate(x_se) 2025-09-07T09:02:01.1261821Z 2025-09-07T09:02:01.1261918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1262250Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1262550Z return mod(*inputs) 2025-09-07T09:02:01.1262848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1263165Z x = self.forward_features(x) 2025-09-07T09:02:01.1263496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1263832Z x = self.blocks(x) 2025-09-07T09:02:01.1264141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1264468Z x = self.se(x) 2025-09-07T09:02:01.1264760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1265086Z return x * self.gate(x_se) 2025-09-07T09:02:01.1265200Z 2025-09-07T09:02:01.1265276Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1265503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1265827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1266128Z return mod(*inputs) 2025-09-07T09:02:01.1266427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1266752Z x = self.forward_features(x) 2025-09-07T09:02:01.1267099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1267427Z x = self.blocks(x) 2025-09-07T09:02:01.1267739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1268067Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1268367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1268708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1269064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1269419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1269565Z 2025-09-07T09:02:01.1269670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1270002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1270295Z return mod(*inputs) 2025-09-07T09:02:01.1270589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1270923Z x = self.forward_features(x) 2025-09-07T09:02:01.1271268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1271617Z x = self.blocks(x) 2025-09-07T09:02:01.1271920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1272253Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1272554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1272903Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1273248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1273600Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1273754Z 2025-09-07T09:02:01.1273832Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1274056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1274387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1274683Z return mod(*inputs) 2025-09-07T09:02:01.1274983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1275297Z x = self.forward_features(x) 2025-09-07T09:02:01.1275630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1275955Z x = self.blocks(x) 2025-09-07T09:02:01.1276268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1276601Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1276900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1277250Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1277595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1277948Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1278100Z 2025-09-07T09:02:01.1278198Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1278532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1278831Z return mod(*inputs) 2025-09-07T09:02:01.1279128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1279451Z x = self.forward_features(x) 2025-09-07T09:02:01.1279799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1280141Z x = self.blocks(x) 2025-09-07T09:02:01.1280448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1280783Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1281082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1281430Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1281777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1282132Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1282285Z 2025-09-07T09:02:01.1282361Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1282570Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1282797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1283124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1283441Z return mod(*inputs) 2025-09-07T09:02:01.1283754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1284091Z x = self.forward_features(x) 2025-09-07T09:02:01.1284421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1284754Z x = self.blocks(x) 2025-09-07T09:02:01.1285067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1285397Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1285693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1286000Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1286115Z 2025-09-07T09:02:01.1286211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1286549Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1286853Z return mod(*inputs) 2025-09-07T09:02:01.1287144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1287462Z x = self.forward_features(x) 2025-09-07T09:02:01.1287793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1288127Z x = self.blocks(x) 2025-09-07T09:02:01.1288435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1288763Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1288892Z 2025-09-07T09:02:01.1288993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1289327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1289626Z return mod(*inputs) 2025-09-07T09:02:01.1289919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1290242Z x = self.forward_features(x) 2025-09-07T09:02:01.1290572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1290906Z x = self.blocks(x) 2025-09-07T09:02:01.1291214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1291531Z x = self.conv_pw(x) 2025-09-07T09:02:01.1291822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1292194Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1292556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1292916Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1293064Z 2025-09-07T09:02:01.1293164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1293501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1293808Z return mod(*inputs) 2025-09-07T09:02:01.1294099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1294415Z x = self.forward_features(x) 2025-09-07T09:02:01.1294750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1295081Z x = self.blocks(x) 2025-09-07T09:02:01.1295392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1295721Z x = self.conv_pw(x) 2025-09-07T09:02:01.1296028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1296394Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1296763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1297114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1297260Z 2025-09-07T09:02:01.1297359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1297692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1297994Z return mod(*inputs) 2025-09-07T09:02:01.1298296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1298621Z x = self.forward_features(x) 2025-09-07T09:02:01.1298950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1299287Z x = self.blocks(x) 2025-09-07T09:02:01.1299596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1299926Z x = self.conv_pw(x) 2025-09-07T09:02:01.1300210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1300554Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1300904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1301255Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1301398Z 2025-09-07T09:02:01.1301503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1301833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1302136Z return mod(*inputs) 2025-09-07T09:02:01.1302432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1302756Z x = self.forward_features(x) 2025-09-07T09:02:01.1303091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1303419Z x = self.blocks(x) 2025-09-07T09:02:01.1303727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1304053Z x = self.conv_pw(x) 2025-09-07T09:02:01.1304344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1304696Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1305052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1305404Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1305552Z 2025-09-07T09:02:01.1305640Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1305849Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1306068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1306410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1306719Z return mod(*inputs) 2025-09-07T09:02:01.1307022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1307346Z x = self.forward_features(x) 2025-09-07T09:02:01.1307692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1308039Z x = self.blocks(x) 2025-09-07T09:02:01.1308360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1308706Z x = self.conv_pw(x) 2025-09-07T09:02:01.1309009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1309344Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1309455Z 2025-09-07T09:02:01.1309554Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1309890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1310192Z return mod(*inputs) 2025-09-07T09:02:01.1310487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1310809Z x = self.forward_features(x) 2025-09-07T09:02:01.1311151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1311487Z x = self.blocks(x) 2025-09-07T09:02:01.1311798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1312130Z x = self.conv_dw(x) 2025-09-07T09:02:01.1312418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1312768Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1313119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1313471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1313626Z 2025-09-07T09:02:01.1313725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1314060Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1314361Z return mod(*inputs) 2025-09-07T09:02:01.1314651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1314977Z x = self.forward_features(x) 2025-09-07T09:02:01.1315314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1315649Z x = self.blocks(x) 2025-09-07T09:02:01.1315951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1316281Z x = self.conv_dw(x) 2025-09-07T09:02:01.1316568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1316910Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1317268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1317631Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1317787Z 2025-09-07T09:02:01.1317888Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1318221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1318524Z return mod(*inputs) 2025-09-07T09:02:01.1318821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1319140Z x = self.forward_features(x) 2025-09-07T09:02:01.1319476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1319811Z x = self.blocks(x) 2025-09-07T09:02:01.1320122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1320451Z x = self.conv_dw(x) 2025-09-07T09:02:01.1320749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1321120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1321502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1321878Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1322026Z 2025-09-07T09:02:01.1322125Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1322463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1322765Z return mod(*inputs) 2025-09-07T09:02:01.1323061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1323379Z x = self.forward_features(x) 2025-09-07T09:02:01.1323715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1324052Z x = self.blocks(x) 2025-09-07T09:02:01.1324365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1324699Z x = self.conv_dw(x) 2025-09-07T09:02:01.1324983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1325332Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1325686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1326039Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1326187Z 2025-09-07T09:02:01.1326271Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1326469Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1326693Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1327034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1327338Z return mod(*inputs) 2025-09-07T09:02:01.1327632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1327960Z x = self.forward_features(x) 2025-09-07T09:02:01.1328301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1328640Z x = self.blocks(x) 2025-09-07T09:02:01.1328946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1329272Z x = self.conv_dw(x) 2025-09-07T09:02:01.1329562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1329876Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1329982Z 2025-09-07T09:02:01.1330077Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1330298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1330671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1331027Z return mod(*inputs) 2025-09-07T09:02:01.1331334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1331660Z x = self.forward_features(x) 2025-09-07T09:02:01.1332010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1332353Z x = self.blocks(x) 2025-09-07T09:02:01.1332675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1333013Z x = self.se(x) 2025-09-07T09:02:01.1333312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1333661Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1333795Z 2025-09-07T09:02:01.1333929Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1334293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1334631Z return mod(*inputs) 2025-09-07T09:02:01.1334944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1335279Z x = self.forward_features(x) 2025-09-07T09:02:01.1335632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1335983Z x = self.blocks(x) 2025-09-07T09:02:01.1336298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1336636Z x = self.se(x) 2025-09-07T09:02:01.1336952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1337290Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1337402Z 2025-09-07T09:02:01.1337503Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1337856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1338173Z return mod(*inputs) 2025-09-07T09:02:01.1338483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1338816Z x = self.forward_features(x) 2025-09-07T09:02:01.1339150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1339501Z x = self.blocks(x) 2025-09-07T09:02:01.1339822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1340157Z x = self.se(x) 2025-09-07T09:02:01.1340458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1340798Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1340914Z 2025-09-07T09:02:01.1341014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1341363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1341676Z return mod(*inputs) 2025-09-07T09:02:01.1341975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1342312Z x = self.forward_features(x) 2025-09-07T09:02:01.1342650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1342992Z x = self.blocks(x) 2025-09-07T09:02:01.1343324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1343657Z x = self.se(x) 2025-09-07T09:02:01.1343968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1344314Z return x * self.gate(x_se) 2025-09-07T09:02:01.1344431Z 2025-09-07T09:02:01.1344539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1344875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1345185Z return mod(*inputs) 2025-09-07T09:02:01.1345491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1345829Z x = self.forward_features(x) 2025-09-07T09:02:01.1346157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1346490Z x = self.blocks(x) 2025-09-07T09:02:01.1346800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1347141Z x = self.se(x) 2025-09-07T09:02:01.1347443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1347780Z return x * self.gate(x_se) 2025-09-07T09:02:01.1347915Z 2025-09-07T09:02:01.1348011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1348355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1348668Z return mod(*inputs) 2025-09-07T09:02:01.1348964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1349292Z x = self.forward_features(x) 2025-09-07T09:02:01.1349635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1349980Z x = self.blocks(x) 2025-09-07T09:02:01.1350296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1350623Z x = self.se(x) 2025-09-07T09:02:01.1350935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1351272Z return x * self.gate(x_se) 2025-09-07T09:02:01.1351385Z 2025-09-07T09:02:01.1351492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1351830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1352129Z return mod(*inputs) 2025-09-07T09:02:01.1352430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1352755Z x = self.forward_features(x) 2025-09-07T09:02:01.1353097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1353434Z x = self.blocks(x) 2025-09-07T09:02:01.1353749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1354083Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1354390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1354752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1355111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1355475Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1355636Z 2025-09-07T09:02:01.1355737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1356078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1356395Z return mod(*inputs) 2025-09-07T09:02:01.1356695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1357018Z x = self.forward_features(x) 2025-09-07T09:02:01.1357351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1357685Z x = self.blocks(x) 2025-09-07T09:02:01.1357988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1358317Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1358617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1358963Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1359306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1359659Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1359812Z 2025-09-07T09:02:01.1359927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1360273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1360576Z return mod(*inputs) 2025-09-07T09:02:01.1360881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1361206Z x = self.forward_features(x) 2025-09-07T09:02:01.1361540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1361875Z x = self.blocks(x) 2025-09-07T09:02:01.1362178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1362509Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1362802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1363155Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1363514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1363865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1364023Z 2025-09-07T09:02:01.1364121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1364453Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1364757Z return mod(*inputs) 2025-09-07T09:02:01.1365052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1365363Z x = self.forward_features(x) 2025-09-07T09:02:01.1365702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1366043Z x = self.blocks(x) 2025-09-07T09:02:01.1366351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1366672Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1366971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1367318Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1367675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1368029Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1368171Z 2025-09-07T09:02:01.1368249Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1368458Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1368686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1369030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1369327Z return mod(*inputs) 2025-09-07T09:02:01.1369627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1369954Z x = self.forward_features(x) 2025-09-07T09:02:01.1370297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1370635Z x = self.blocks(x) 2025-09-07T09:02:01.1370943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1371274Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1371568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1371882Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1371987Z 2025-09-07T09:02:01.1372084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1372416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1372739Z return mod(*inputs) 2025-09-07T09:02:01.1373044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1373374Z x = self.forward_features(x) 2025-09-07T09:02:01.1373699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1374029Z x = self.blocks(x) 2025-09-07T09:02:01.1374338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1374672Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1374792Z 2025-09-07T09:02:01.1374889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1375215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1375517Z return mod(*inputs) 2025-09-07T09:02:01.1375814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1376135Z x = self.forward_features(x) 2025-09-07T09:02:01.1376461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1376793Z x = self.blocks(x) 2025-09-07T09:02:01.1377097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1377426Z x = self.conv_pw(x) 2025-09-07T09:02:01.1377710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1378061Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1378416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1378770Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1378917Z 2025-09-07T09:02:01.1379020Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1379345Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1379652Z return mod(*inputs) 2025-09-07T09:02:01.1379949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1380268Z x = self.forward_features(x) 2025-09-07T09:02:01.1380600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1380928Z x = self.blocks(x) 2025-09-07T09:02:01.1381238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1381579Z x = self.conv_pw(x) 2025-09-07T09:02:01.1381869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1382207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1382564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1382919Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1383064Z 2025-09-07T09:02:01.1383167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1383497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1383788Z return mod(*inputs) 2025-09-07T09:02:01.1384083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1384399Z x = self.forward_features(x) 2025-09-07T09:02:01.1384733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1385092Z x = self.blocks(x) 2025-09-07T09:02:01.1385408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1385783Z x = self.conv_pw(x) 2025-09-07T09:02:01.1386097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1386443Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1386791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1387149Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1387301Z 2025-09-07T09:02:01.1387401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1387735Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1388039Z return mod(*inputs) 2025-09-07T09:02:01.1388331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1388654Z x = self.forward_features(x) 2025-09-07T09:02:01.1388989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1389325Z x = self.blocks(x) 2025-09-07T09:02:01.1389630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1389958Z x = self.conv_pw(x) 2025-09-07T09:02:01.1390243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1390585Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1390944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1391294Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1391449Z 2025-09-07T09:02:01.1391526Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1391731Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1391959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1392283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1392590Z return mod(*inputs) 2025-09-07T09:02:01.1392892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1393214Z x = self.forward_features(x) 2025-09-07T09:02:01.1393553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1393881Z x = self.blocks(x) 2025-09-07T09:02:01.1394211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1394542Z x = self.conv_pw(x) 2025-09-07T09:02:01.1394838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1395146Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1395262Z 2025-09-07T09:02:01.1395360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1395688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1395989Z return mod(*inputs) 2025-09-07T09:02:01.1396280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1396594Z x = self.forward_features(x) 2025-09-07T09:02:01.1396926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1397263Z x = self.blocks(x) 2025-09-07T09:02:01.1397575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1397917Z x = self.conv_dw(x) 2025-09-07T09:02:01.1398221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1398586Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1398944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1399300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1399449Z 2025-09-07T09:02:01.1399546Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1399890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1400194Z return mod(*inputs) 2025-09-07T09:02:01.1400495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1400813Z x = self.forward_features(x) 2025-09-07T09:02:01.1401152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1401493Z x = self.blocks(x) 2025-09-07T09:02:01.1401707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1401778Z x = self.conv_dw(x) 2025-09-07T09:02:01.1401965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1402067Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1402269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1402367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1402377Z 2025-09-07T09:02:01.1402477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1402657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1402728Z return mod(*inputs) 2025-09-07T09:02:01.1402928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1403000Z x = self.forward_features(x) 2025-09-07T09:02:01.1403218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1403279Z x = self.blocks(x) 2025-09-07T09:02:01.1403492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1403553Z x = self.conv_dw(x) 2025-09-07T09:02:01.1403751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1403863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1404065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1404168Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1404171Z 2025-09-07T09:02:01.1404273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1404464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1404525Z return mod(*inputs) 2025-09-07T09:02:01.1404715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1404788Z x = self.forward_features(x) 2025-09-07T09:02:01.1405006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1405074Z x = self.blocks(x) 2025-09-07T09:02:01.1405285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1405366Z x = self.conv_dw(x) 2025-09-07T09:02:01.1405571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1405667Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1405885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1405980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1405983Z 2025-09-07T09:02:01.1406068Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1406141Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1406237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1406429Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1406492Z return mod(*inputs) 2025-09-07T09:02:01.1406692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1406760Z x = self.forward_features(x) 2025-09-07T09:02:01.1406977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1407047Z x = self.blocks(x) 2025-09-07T09:02:01.1407258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1407326Z x = self.conv_dw(x) 2025-09-07T09:02:01.1407516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1407581Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1407590Z 2025-09-07T09:02:01.1407665Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1407759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1407951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1408019Z return mod(*inputs) 2025-09-07T09:02:01.1408223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1408293Z x = self.forward_features(x) 2025-09-07T09:02:01.1408509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1408575Z x = self.blocks(x) 2025-09-07T09:02:01.1408820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1408885Z x = self.se(x) 2025-09-07T09:02:01.1409094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1409169Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1409185Z 2025-09-07T09:02:01.1409292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1409475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1409544Z return mod(*inputs) 2025-09-07T09:02:01.1409739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1409808Z x = self.forward_features(x) 2025-09-07T09:02:01.1410032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1410091Z x = self.blocks(x) 2025-09-07T09:02:01.1410305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1410364Z x = self.se(x) 2025-09-07T09:02:01.1410570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1410645Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1410648Z 2025-09-07T09:02:01.1410743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1410949Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1411026Z return mod(*inputs) 2025-09-07T09:02:01.1411238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1411304Z x = self.forward_features(x) 2025-09-07T09:02:01.1411518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1411588Z x = self.blocks(x) 2025-09-07T09:02:01.1411795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1411859Z x = self.se(x) 2025-09-07T09:02:01.1412066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1412132Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1412136Z 2025-09-07T09:02:01.1412239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1412422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1412492Z return mod(*inputs) 2025-09-07T09:02:01.1412687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1412754Z x = self.forward_features(x) 2025-09-07T09:02:01.1412976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1413035Z x = self.blocks(x) 2025-09-07T09:02:01.1413248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1413307Z x = self.se(x) 2025-09-07T09:02:01.1413516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1413589Z return x * self.gate(x_se) 2025-09-07T09:02:01.1413592Z 2025-09-07T09:02:01.1413686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1413876Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1413939Z return mod(*inputs) 2025-09-07T09:02:01.1414143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1414207Z x = self.forward_features(x) 2025-09-07T09:02:01.1414421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1414489Z x = self.blocks(x) 2025-09-07T09:02:01.1414695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1414774Z x = self.se(x) 2025-09-07T09:02:01.1414981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1415049Z return x * self.gate(x_se) 2025-09-07T09:02:01.1415052Z 2025-09-07T09:02:01.1415158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1415339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1415406Z return mod(*inputs) 2025-09-07T09:02:01.1415599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1415663Z x = self.forward_features(x) 2025-09-07T09:02:01.1415888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1415948Z x = self.blocks(x) 2025-09-07T09:02:01.1416160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1416218Z x = self.se(x) 2025-09-07T09:02:01.1416453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1416533Z return x * self.gate(x_se) 2025-09-07T09:02:01.1416537Z 2025-09-07T09:02:01.1416647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1416836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1416896Z return mod(*inputs) 2025-09-07T09:02:01.1417095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1417162Z x = self.forward_features(x) 2025-09-07T09:02:01.1417378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1417447Z x = self.blocks(x) 2025-09-07T09:02:01.1417655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1417727Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1417920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1418023Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1418232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1418334Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1418336Z 2025-09-07T09:02:01.1418438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1418618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1418687Z return mod(*inputs) 2025-09-07T09:02:01.1418883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1418950Z x = self.forward_features(x) 2025-09-07T09:02:01.1419178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1419238Z x = self.blocks(x) 2025-09-07T09:02:01.1419455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1419522Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1419713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1419821Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1420023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1420129Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1420132Z 2025-09-07T09:02:01.1420246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1420433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1420504Z return mod(*inputs) 2025-09-07T09:02:01.1420703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1420779Z x = self.forward_features(x) 2025-09-07T09:02:01.1420995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1421060Z x = self.blocks(x) 2025-09-07T09:02:01.1421268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1421330Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1421526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1421626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1421833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1421943Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1421961Z 2025-09-07T09:02:01.1422073Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1422265Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1422328Z return mod(*inputs) 2025-09-07T09:02:01.1422530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1422598Z x = self.forward_features(x) 2025-09-07T09:02:01.1422809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1422877Z x = self.blocks(x) 2025-09-07T09:02:01.1423088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1423157Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1423345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1423450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1423651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1423746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1423749Z 2025-09-07T09:02:01.1423833Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1423908Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1424016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1424195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1424259Z return mod(*inputs) 2025-09-07T09:02:01.1424461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1424529Z x = self.forward_features(x) 2025-09-07T09:02:01.1424749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1424811Z x = self.blocks(x) 2025-09-07T09:02:01.1425021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1425093Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1425284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1425352Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1425355Z 2025-09-07T09:02:01.1425451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1425647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1425715Z return mod(*inputs) 2025-09-07T09:02:01.1425911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1425986Z x = self.forward_features(x) 2025-09-07T09:02:01.1426200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1426270Z x = self.blocks(x) 2025-09-07T09:02:01.1426479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1426547Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1426550Z 2025-09-07T09:02:01.1426655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1426836Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1426905Z return mod(*inputs) 2025-09-07T09:02:01.1427100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1427181Z x = self.forward_features(x) 2025-09-07T09:02:01.1427420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1427495Z x = self.blocks(x) 2025-09-07T09:02:01.1427711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1427769Z x = self.bn1(x) 2025-09-07T09:02:01.1427957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1428024Z x = self.act(x) 2025-09-07T09:02:01.1428027Z 2025-09-07T09:02:01.1428124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1428312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1428377Z return mod(*inputs) 2025-09-07T09:02:01.1428575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1428650Z x = self.forward_features(x) 2025-09-07T09:02:01.1428869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1428938Z x = self.blocks(x) 2025-09-07T09:02:01.1429143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1429207Z x = self.bn1(x) 2025-09-07T09:02:01.1429395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1429455Z x = self.act(x) 2025-09-07T09:02:01.1429458Z 2025-09-07T09:02:01.1429565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1429749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1429818Z return mod(*inputs) 2025-09-07T09:02:01.1430016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1430084Z x = self.forward_features(x) 2025-09-07T09:02:01.1430308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1430370Z x = self.blocks(x) 2025-09-07T09:02:01.1430595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1430660Z x = self.conv_dw(x) 2025-09-07T09:02:01.1430895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1431004Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1431238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1431345Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1431582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1431648Z return conv2d_same( 2025-09-07T09:02:01.1431859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1431964Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1432165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1432300Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1432490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1432587Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1432590Z 2025-09-07T09:02:01.1432688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1432899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1432963Z return mod(*inputs) 2025-09-07T09:02:01.1433191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1433279Z x = self.forward_features(x) 2025-09-07T09:02:01.1433504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1433572Z x = self.blocks(x) 2025-09-07T09:02:01.1433791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1433862Z x = self.conv_dw(x) 2025-09-07T09:02:01.1434063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1434166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1434374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1434476Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1434683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1434747Z return conv2d_same( 2025-09-07T09:02:01.1434956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1435088Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1435091Z 2025-09-07T09:02:01.1435192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1435387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1435452Z return mod(*inputs) 2025-09-07T09:02:01.1435658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1435730Z x = self.forward_features(x) 2025-09-07T09:02:01.1435952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1436021Z x = self.blocks(x) 2025-09-07T09:02:01.1436230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1436300Z x = self.conv_dw(x) 2025-09-07T09:02:01.1436497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1436594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1436804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1436924Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1437128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1437188Z return conv2d_same( 2025-09-07T09:02:01.1437397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1437527Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1437530Z 2025-09-07T09:02:01.1437630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1437829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1437893Z return mod(*inputs) 2025-09-07T09:02:01.1438102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1438172Z x = self.forward_features(x) 2025-09-07T09:02:01.1438394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1438482Z x = self.blocks(x) 2025-09-07T09:02:01.1438709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1438791Z x = self.conv_dw(x) 2025-09-07T09:02:01.1438991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1439092Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1439306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1439401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1439605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1439669Z return conv2d_same( 2025-09-07T09:02:01.1439886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1439990Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1440184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1440329Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1440517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1440620Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1440623Z 2025-09-07T09:02:01.1440721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1440911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1440981Z return mod(*inputs) 2025-09-07T09:02:01.1441189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1441265Z x = self.forward_features(x) 2025-09-07T09:02:01.1441496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1441566Z x = self.blocks(x) 2025-09-07T09:02:01.1441784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1441847Z x = self.conv_dw(x) 2025-09-07T09:02:01.1442052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1442153Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1442367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1442481Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1442675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1442746Z return conv2d_same( 2025-09-07T09:02:01.1442949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1443081Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1443084Z 2025-09-07T09:02:01.1443185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1443368Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1443439Z return mod(*inputs) 2025-09-07T09:02:01.1443644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1443717Z x = self.forward_features(x) 2025-09-07T09:02:01.1443943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1444012Z x = self.blocks(x) 2025-09-07T09:02:01.1444241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1444319Z x = self.conv_dw(x) 2025-09-07T09:02:01.1444531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1444644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1444849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1444946Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1445130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1445200Z return conv2d_same( 2025-09-07T09:02:01.1445400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1445528Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1445533Z 2025-09-07T09:02:01.1445626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1445813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1445884Z return mod(*inputs) 2025-09-07T09:02:01.1446079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1446154Z x = self.forward_features(x) 2025-09-07T09:02:01.1446371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1446435Z x = self.blocks(x) 2025-09-07T09:02:01.1446646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1446707Z x = self.conv_dw(x) 2025-09-07T09:02:01.1446901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1447001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1447203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1447300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1447486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1447553Z return conv2d_same( 2025-09-07T09:02:01.1447752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1447856Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1448055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1448187Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1448376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1448470Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1448475Z 2025-09-07T09:02:01.1448582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1448766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1448830Z return mod(*inputs) 2025-09-07T09:02:01.1449023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1449092Z x = self.forward_features(x) 2025-09-07T09:02:01.1449317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1449378Z x = self.blocks(x) 2025-09-07T09:02:01.1449592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1449664Z x = self.conv_dw(x) 2025-09-07T09:02:01.1449867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1449988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1450182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1450284Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1450471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1450532Z return conv2d_same( 2025-09-07T09:02:01.1450739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1450861Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1450865Z 2025-09-07T09:02:01.1450968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1451155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1451227Z return mod(*inputs) 2025-09-07T09:02:01.1451421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1451490Z x = self.forward_features(x) 2025-09-07T09:02:01.1451714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1451770Z x = self.blocks(x) 2025-09-07T09:02:01.1451985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1452049Z x = self.conv_dw(x) 2025-09-07T09:02:01.1452237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1452342Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1452540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1452643Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1452827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1452889Z return conv2d_same( 2025-09-07T09:02:01.1453092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1453208Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1453212Z 2025-09-07T09:02:01.1453296Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1453387Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1453463Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1453568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1453748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1453817Z return mod(*inputs) 2025-09-07T09:02:01.1454014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1454090Z x = self.forward_features(x) 2025-09-07T09:02:01.1454310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1454371Z x = self.blocks(x) 2025-09-07T09:02:01.1454583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1454644Z x = self.conv_dw(x) 2025-09-07T09:02:01.1454846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1454914Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1454932Z 2025-09-07T09:02:01.1455003Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1455123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1455328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1455398Z return mod(*inputs) 2025-09-07T09:02:01.1455597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1455663Z x = self.forward_features(x) 2025-09-07T09:02:01.1455892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1455949Z x = self.blocks(x) 2025-09-07T09:02:01.1456171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1456230Z x = self.se(x) 2025-09-07T09:02:01.1456435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1456518Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1456523Z 2025-09-07T09:02:01.1456622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1456812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1456875Z return mod(*inputs) 2025-09-07T09:02:01.1457075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1457142Z x = self.forward_features(x) 2025-09-07T09:02:01.1457359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1457430Z x = self.blocks(x) 2025-09-07T09:02:01.1457639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1457707Z x = self.se(x) 2025-09-07T09:02:01.1457915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1457982Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1457987Z 2025-09-07T09:02:01.1458094Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1458278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1458349Z return mod(*inputs) 2025-09-07T09:02:01.1458543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1458609Z x = self.forward_features(x) 2025-09-07T09:02:01.1458830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1458906Z x = self.blocks(x) 2025-09-07T09:02:01.1459126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1459186Z x = self.se(x) 2025-09-07T09:02:01.1459396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1459469Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1459472Z 2025-09-07T09:02:01.1459571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1459760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1459817Z return mod(*inputs) 2025-09-07T09:02:01.1460016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1460079Z x = self.forward_features(x) 2025-09-07T09:02:01.1460297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1460367Z x = self.blocks(x) 2025-09-07T09:02:01.1460591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1460657Z x = self.se(x) 2025-09-07T09:02:01.1460877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1460959Z return x * self.gate(x_se) 2025-09-07T09:02:01.1460962Z 2025-09-07T09:02:01.1461068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1461255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1461325Z return mod(*inputs) 2025-09-07T09:02:01.1461524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1461590Z x = self.forward_features(x) 2025-09-07T09:02:01.1461820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1461881Z x = self.blocks(x) 2025-09-07T09:02:01.1462098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1462152Z x = self.se(x) 2025-09-07T09:02:01.1462365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1462440Z return x * self.gate(x_se) 2025-09-07T09:02:01.1462443Z 2025-09-07T09:02:01.1462541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1462734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1462795Z return mod(*inputs) 2025-09-07T09:02:01.1462999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1463066Z x = self.forward_features(x) 2025-09-07T09:02:01.1463287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1463353Z x = self.blocks(x) 2025-09-07T09:02:01.1463570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1463633Z x = self.se(x) 2025-09-07T09:02:01.1463843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1463908Z return x * self.gate(x_se) 2025-09-07T09:02:01.1463911Z 2025-09-07T09:02:01.1464015Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1464197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1464265Z return mod(*inputs) 2025-09-07T09:02:01.1464478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1464544Z x = self.forward_features(x) 2025-09-07T09:02:01.1464767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1464828Z x = self.blocks(x) 2025-09-07T09:02:01.1465043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1465108Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1465111Z 2025-09-07T09:02:01.1465215Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1465397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1465458Z return mod(*inputs) 2025-09-07T09:02:01.1465656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1465725Z x = self.forward_features(x) 2025-09-07T09:02:01.1465952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1466027Z x = self.blocks(x) 2025-09-07T09:02:01.1466246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1466331Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1466334Z 2025-09-07T09:02:01.1466429Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1466616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1466677Z return mod(*inputs) 2025-09-07T09:02:01.1466871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1466946Z x = self.forward_features(x) 2025-09-07T09:02:01.1467160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1467228Z x = self.blocks(x) 2025-09-07T09:02:01.1467436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1467500Z x = self.conv_pw(x) 2025-09-07T09:02:01.1467700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1467807Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1468016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1468114Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1468117Z 2025-09-07T09:02:01.1468221Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1468405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1468467Z return mod(*inputs) 2025-09-07T09:02:01.1468668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1468735Z x = self.forward_features(x) 2025-09-07T09:02:01.1468958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1469021Z x = self.blocks(x) 2025-09-07T09:02:01.1469229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1469299Z x = self.conv_pw(x) 2025-09-07T09:02:01.1469487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1469594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1469797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1469911Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1469923Z 2025-09-07T09:02:01.1470021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1470206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1470284Z return mod(*inputs) 2025-09-07T09:02:01.1470482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1470559Z x = self.forward_features(x) 2025-09-07T09:02:01.1470776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1470837Z x = self.blocks(x) 2025-09-07T09:02:01.1471053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1471113Z x = self.conv_pw(x) 2025-09-07T09:02:01.1471311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1471408Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1471624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1471745Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1471760Z 2025-09-07T09:02:01.1471858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1472049Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1472110Z return mod(*inputs) 2025-09-07T09:02:01.1472313Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1472380Z x = self.forward_features(x) 2025-09-07T09:02:01.1472598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1472671Z x = self.blocks(x) 2025-09-07T09:02:01.1472881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1472954Z x = self.conv_pw(x) 2025-09-07T09:02:01.1473149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1473248Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1473458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1473556Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1473559Z 2025-09-07T09:02:01.1473646Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1473725Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1473824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1474021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1474085Z return mod(*inputs) 2025-09-07T09:02:01.1474291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1474357Z x = self.forward_features(x) 2025-09-07T09:02:01.1474578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1474648Z x = self.blocks(x) 2025-09-07T09:02:01.1474855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1474926Z x = self.conv_pw(x) 2025-09-07T09:02:01.1475120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1475185Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1475196Z 2025-09-07T09:02:01.1475294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1475490Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1475563Z return mod(*inputs) 2025-09-07T09:02:01.1475757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1475832Z x = self.forward_features(x) 2025-09-07T09:02:01.1476049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1476109Z x = self.blocks(x) 2025-09-07T09:02:01.1476327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1476389Z x = self.conv_dw(x) 2025-09-07T09:02:01.1476585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1476681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1476881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1477001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1477004Z 2025-09-07T09:02:01.1477120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1477327Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1477388Z return mod(*inputs) 2025-09-07T09:02:01.1477580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1477653Z x = self.forward_features(x) 2025-09-07T09:02:01.1477866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1477933Z x = self.blocks(x) 2025-09-07T09:02:01.1478143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1478211Z x = self.conv_dw(x) 2025-09-07T09:02:01.1478401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1478502Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1478707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1478803Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1478806Z 2025-09-07T09:02:01.1478908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1479087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1479149Z return mod(*inputs) 2025-09-07T09:02:01.1479351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1479418Z x = self.forward_features(x) 2025-09-07T09:02:01.1479641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1479701Z x = self.blocks(x) 2025-09-07T09:02:01.1479909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1479977Z x = self.conv_dw(x) 2025-09-07T09:02:01.1480166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1480268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1480473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1480576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1480578Z 2025-09-07T09:02:01.1480675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1480870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1480943Z return mod(*inputs) 2025-09-07T09:02:01.1481140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1481219Z x = self.forward_features(x) 2025-09-07T09:02:01.1481439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1481501Z x = self.blocks(x) 2025-09-07T09:02:01.1481719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1481781Z x = self.conv_dw(x) 2025-09-07T09:02:01.1481981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1482079Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1482283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1482432Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1482435Z 2025-09-07T09:02:01.1482532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1482736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1482814Z return mod(*inputs) 2025-09-07T09:02:01.1483017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1483085Z x = self.forward_features(x) 2025-09-07T09:02:01.1483301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1483370Z x = self.blocks(x) 2025-09-07T09:02:01.1483579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1483651Z x = self.conv_dw(x) 2025-09-07T09:02:01.1483843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1483942Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1484152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1484249Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1484252Z 2025-09-07T09:02:01.1484357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1484539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1484610Z return mod(*inputs) 2025-09-07T09:02:01.1484807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1484875Z x = self.forward_features(x) 2025-09-07T09:02:01.1485100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1485163Z x = self.blocks(x) 2025-09-07T09:02:01.1485385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1485447Z x = self.conv_dw(x) 2025-09-07T09:02:01.1485641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1485744Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1485944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1486047Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1486050Z 2025-09-07T09:02:01.1486149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1486349Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1486421Z return mod(*inputs) 2025-09-07T09:02:01.1486619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1486697Z x = self.forward_features(x) 2025-09-07T09:02:01.1486917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1486979Z x = self.blocks(x) 2025-09-07T09:02:01.1487193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1487256Z x = self.conv_dw(x) 2025-09-07T09:02:01.1487450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1487549Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1487758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1487855Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1487872Z 2025-09-07T09:02:01.1487969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1488177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1488252Z return mod(*inputs) 2025-09-07T09:02:01.1488455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1488521Z x = self.forward_features(x) 2025-09-07T09:02:01.1488741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1488809Z x = self.blocks(x) 2025-09-07T09:02:01.1489016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1489085Z x = self.conv_dw(x) 2025-09-07T09:02:01.1489274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1489373Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1489580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1489679Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1489682Z 2025-09-07T09:02:01.1489767Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1489842Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1489927Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1490000Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1490096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1490287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1490349Z return mod(*inputs) 2025-09-07T09:02:01.1490554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1490621Z x = self.forward_features(x) 2025-09-07T09:02:01.1490842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1490913Z x = self.blocks(x) 2025-09-07T09:02:01.1491122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1491191Z x = self.conv_dw(x) 2025-09-07T09:02:01.1491382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1491445Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1491449Z 2025-09-07T09:02:01.1491530Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1491645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1491838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1491903Z return mod(*inputs) 2025-09-07T09:02:01.1492101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1492178Z x = self.forward_features(x) 2025-09-07T09:02:01.1492395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1492467Z x = self.blocks(x) 2025-09-07T09:02:01.1492673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1492730Z x = self.se(x) 2025-09-07T09:02:01.1492945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1493021Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1493026Z 2025-09-07T09:02:01.1493130Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1493313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1493400Z return mod(*inputs) 2025-09-07T09:02:01.1493611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1493694Z x = self.forward_features(x) 2025-09-07T09:02:01.1493921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1493983Z x = self.blocks(x) 2025-09-07T09:02:01.1494202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1494259Z x = self.se(x) 2025-09-07T09:02:01.1494468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1494543Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1494546Z 2025-09-07T09:02:01.1494647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1494843Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1494907Z return mod(*inputs) 2025-09-07T09:02:01.1495108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1495183Z x = self.forward_features(x) 2025-09-07T09:02:01.1495409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1495481Z x = self.blocks(x) 2025-09-07T09:02:01.1495689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1495748Z x = self.se(x) 2025-09-07T09:02:01.1495964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1496031Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1496035Z 2025-09-07T09:02:01.1496142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1496328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1496400Z return mod(*inputs) 2025-09-07T09:02:01.1496596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1496665Z x = self.forward_features(x) 2025-09-07T09:02:01.1496892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1496951Z x = self.blocks(x) 2025-09-07T09:02:01.1497168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1497227Z x = self.se(x) 2025-09-07T09:02:01.1497447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1497526Z return x * self.gate(x_se) 2025-09-07T09:02:01.1497529Z 2025-09-07T09:02:01.1497623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1497822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1497885Z return mod(*inputs) 2025-09-07T09:02:01.1498080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1498153Z x = self.forward_features(x) 2025-09-07T09:02:01.1498374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1498443Z x = self.blocks(x) 2025-09-07T09:02:01.1498650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1498715Z x = self.se(x) 2025-09-07T09:02:01.1498923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1499013Z return x * self.gate(x_se) 2025-09-07T09:02:01.1499016Z 2025-09-07T09:02:01.1499137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1499333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1499406Z return mod(*inputs) 2025-09-07T09:02:01.1499603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1499674Z x = self.forward_features(x) 2025-09-07T09:02:01.1499902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1499966Z x = self.blocks(x) 2025-09-07T09:02:01.1500184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1500245Z x = self.se(x) 2025-09-07T09:02:01.1500455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1500533Z return x * self.gate(x_se) 2025-09-07T09:02:01.1500537Z 2025-09-07T09:02:01.1500619Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1500724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1500912Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1500977Z return mod(*inputs) 2025-09-07T09:02:01.1501181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1501253Z x = self.forward_features(x) 2025-09-07T09:02:01.1501481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1501546Z x = self.blocks(x) 2025-09-07T09:02:01.1501764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1501834Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1502032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1502143Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1502348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1502456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1502459Z 2025-09-07T09:02:01.1502557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1502744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1502819Z return mod(*inputs) 2025-09-07T09:02:01.1503035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1503112Z x = self.forward_features(x) 2025-09-07T09:02:01.1503329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1503391Z x = self.blocks(x) 2025-09-07T09:02:01.1503610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1503672Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1503867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1503965Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1504174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1504273Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1504276Z 2025-09-07T09:02:01.1504354Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1504475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1504673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1504757Z return mod(*inputs) 2025-09-07T09:02:01.1504954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1505021Z x = self.forward_features(x) 2025-09-07T09:02:01.1505249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1505312Z x = self.blocks(x) 2025-09-07T09:02:01.1505533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1505596Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1505791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1505900Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1506103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1506207Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1506210Z 2025-09-07T09:02:01.1506308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1506501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1506565Z return mod(*inputs) 2025-09-07T09:02:01.1506761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1506836Z x = self.forward_features(x) 2025-09-07T09:02:01.1507057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1507124Z x = self.blocks(x) 2025-09-07T09:02:01.1507337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1507402Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1507600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1507701Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1507913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1508010Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1508013Z 2025-09-07T09:02:01.1508089Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1508171Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1508283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1508475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1508538Z return mod(*inputs) 2025-09-07T09:02:01.1508734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1508808Z x = self.forward_features(x) 2025-09-07T09:02:01.1509025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1509090Z x = self.blocks(x) 2025-09-07T09:02:01.1509299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1509366Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1509555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1509619Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1509622Z 2025-09-07T09:02:01.1509721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1509899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1509977Z return mod(*inputs) 2025-09-07T09:02:01.1510187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1510267Z x = self.forward_features(x) 2025-09-07T09:02:01.1510492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1510549Z x = self.blocks(x) 2025-09-07T09:02:01.1510767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1510837Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1510840Z 2025-09-07T09:02:01.1510936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1511124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1511186Z return mod(*inputs) 2025-09-07T09:02:01.1511384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1511448Z x = self.forward_features(x) 2025-09-07T09:02:01.1511667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1511730Z x = self.blocks(x) 2025-09-07T09:02:01.1511940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1512006Z x = self.conv_pw(x) 2025-09-07T09:02:01.1512197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1512300Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1512502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1512599Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1512603Z 2025-09-07T09:02:01.1512704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1512885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1512955Z return mod(*inputs) 2025-09-07T09:02:01.1513151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1513218Z x = self.forward_features(x) 2025-09-07T09:02:01.1513443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1513503Z x = self.blocks(x) 2025-09-07T09:02:01.1513717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1513793Z x = self.conv_pw(x) 2025-09-07T09:02:01.1513985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1514088Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1514287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1514389Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1514391Z 2025-09-07T09:02:01.1514489Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1514674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1514736Z return mod(*inputs) 2025-09-07T09:02:01.1514926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1514997Z x = self.forward_features(x) 2025-09-07T09:02:01.1515217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1515298Z x = self.blocks(x) 2025-09-07T09:02:01.1515530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1515594Z x = self.conv_pw(x) 2025-09-07T09:02:01.1515808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1515904Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1516109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1516203Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1516206Z 2025-09-07T09:02:01.1516307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1516492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1516556Z return mod(*inputs) 2025-09-07T09:02:01.1516760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1516826Z x = self.forward_features(x) 2025-09-07T09:02:01.1517047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1517109Z x = self.blocks(x) 2025-09-07T09:02:01.1517320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1517389Z x = self.conv_pw(x) 2025-09-07T09:02:01.1517578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1517682Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1517880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1517975Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1517980Z 2025-09-07T09:02:01.1518064Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1518142Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1518243Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1518428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1518491Z return mod(*inputs) 2025-09-07T09:02:01.1518692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1518758Z x = self.forward_features(x) 2025-09-07T09:02:01.1518984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1519047Z x = self.blocks(x) 2025-09-07T09:02:01.1519278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1519356Z x = self.conv_pw(x) 2025-09-07T09:02:01.1519548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1519622Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1519626Z 2025-09-07T09:02:01.1519723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1519916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1519978Z return mod(*inputs) 2025-09-07T09:02:01.1520173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1520250Z x = self.forward_features(x) 2025-09-07T09:02:01.1520468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1520537Z x = self.blocks(x) 2025-09-07T09:02:01.1520750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1520830Z x = self.conv_dw(x) 2025-09-07T09:02:01.1521052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1521166Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1521375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1521471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1521474Z 2025-09-07T09:02:01.1521578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1521757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1521820Z return mod(*inputs) 2025-09-07T09:02:01.1522025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1522094Z x = self.forward_features(x) 2025-09-07T09:02:01.1522319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1522382Z x = self.blocks(x) 2025-09-07T09:02:01.1522593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1522661Z x = self.conv_dw(x) 2025-09-07T09:02:01.1522850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1522957Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1523156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1523252Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1523255Z 2025-09-07T09:02:01.1523363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1523547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1523618Z return mod(*inputs) 2025-09-07T09:02:01.1523812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1523882Z x = self.forward_features(x) 2025-09-07T09:02:01.1524106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1524168Z x = self.blocks(x) 2025-09-07T09:02:01.1524381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1524442Z x = self.conv_dw(x) 2025-09-07T09:02:01.1524652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1524752Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1524953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1525060Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1525065Z 2025-09-07T09:02:01.1525164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1525354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1525417Z return mod(*inputs) 2025-09-07T09:02:01.1525615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1525693Z x = self.forward_features(x) 2025-09-07T09:02:01.1525911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1525983Z x = self.blocks(x) 2025-09-07T09:02:01.1526193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1526270Z x = self.conv_dw(x) 2025-09-07T09:02:01.1526482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1526597Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1526804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1526899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1526902Z 2025-09-07T09:02:01.1527004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1527190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1527250Z return mod(*inputs) 2025-09-07T09:02:01.1527454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1527521Z x = self.forward_features(x) 2025-09-07T09:02:01.1527749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1527811Z x = self.blocks(x) 2025-09-07T09:02:01.1528020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1528088Z x = self.conv_dw(x) 2025-09-07T09:02:01.1528276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1528384Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1528585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1528680Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1528693Z 2025-09-07T09:02:01.1528790Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1528976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1529045Z return mod(*inputs) 2025-09-07T09:02:01.1529244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1529321Z x = self.forward_features(x) 2025-09-07T09:02:01.1529537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1529598Z x = self.blocks(x) 2025-09-07T09:02:01.1529817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1529878Z x = self.conv_dw(x) 2025-09-07T09:02:01.1530075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1530184Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1530386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1530495Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1530497Z 2025-09-07T09:02:01.1530599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1530855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1530920Z return mod(*inputs) 2025-09-07T09:02:01.1531124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1531203Z x = self.forward_features(x) 2025-09-07T09:02:01.1531428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1531500Z x = self.blocks(x) 2025-09-07T09:02:01.1531718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1531819Z x = self.conv_dw(x) 2025-09-07T09:02:01.1532036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1532158Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1532371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1532470Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1532473Z 2025-09-07T09:02:01.1532580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1532770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1532837Z return mod(*inputs) 2025-09-07T09:02:01.1533048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1533119Z x = self.forward_features(x) 2025-09-07T09:02:01.1533355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1533421Z x = self.blocks(x) 2025-09-07T09:02:01.1533640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1533716Z x = self.conv_dw(x) 2025-09-07T09:02:01.1533915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1534022Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1534231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1534340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1534344Z 2025-09-07T09:02:01.1534425Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1534502Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1534590Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1534663Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1534772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1534963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1535025Z return mod(*inputs) 2025-09-07T09:02:01.1535237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1535307Z x = self.forward_features(x) 2025-09-07T09:02:01.1535535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1535597Z x = self.blocks(x) 2025-09-07T09:02:01.1535829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1535901Z x = self.conv_dw(x) 2025-09-07T09:02:01.1536104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1536180Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1536184Z 2025-09-07T09:02:01.1536265Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1536364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1536557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1536620Z return mod(*inputs) 2025-09-07T09:02:01.1536826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1536896Z x = self.forward_features(x) 2025-09-07T09:02:01.1537119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1537189Z x = self.blocks(x) 2025-09-07T09:02:01.1537406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1537490Z x = self.se(x) 2025-09-07T09:02:01.1537721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1537829Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1537833Z 2025-09-07T09:02:01.1537931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1538119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1538188Z return mod(*inputs) 2025-09-07T09:02:01.1538386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1538461Z x = self.forward_features(x) 2025-09-07T09:02:01.1538684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1538746Z x = self.blocks(x) 2025-09-07T09:02:01.1538969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1539030Z x = self.se(x) 2025-09-07T09:02:01.1539250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1539318Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1539321Z 2025-09-07T09:02:01.1539419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1539614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1539679Z return mod(*inputs) 2025-09-07T09:02:01.1539885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1539952Z x = self.forward_features(x) 2025-09-07T09:02:01.1540176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1540245Z x = self.blocks(x) 2025-09-07T09:02:01.1540459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1540528Z x = self.se(x) 2025-09-07T09:02:01.1540739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1540813Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1540816Z 2025-09-07T09:02:01.1540916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1541101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1541172Z return mod(*inputs) 2025-09-07T09:02:01.1541377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1541471Z x = self.forward_features(x) 2025-09-07T09:02:01.1541694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1541759Z x = self.blocks(x) 2025-09-07T09:02:01.1541981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1542041Z x = self.se(x) 2025-09-07T09:02:01.1542261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1542330Z return x * self.gate(x_se) 2025-09-07T09:02:01.1542334Z 2025-09-07T09:02:01.1542434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1542630Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1542693Z return mod(*inputs) 2025-09-07T09:02:01.1542903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1542971Z x = self.forward_features(x) 2025-09-07T09:02:01.1543218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1543294Z x = self.blocks(x) 2025-09-07T09:02:01.1543523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1543604Z x = self.se(x) 2025-09-07T09:02:01.1543811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1543886Z return x * self.gate(x_se) 2025-09-07T09:02:01.1543889Z 2025-09-07T09:02:01.1543986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1544167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1544240Z return mod(*inputs) 2025-09-07T09:02:01.1544436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1544515Z x = self.forward_features(x) 2025-09-07T09:02:01.1544733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1544795Z x = self.blocks(x) 2025-09-07T09:02:01.1545011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1545069Z x = self.se(x) 2025-09-07T09:02:01.1545283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1545348Z return x * self.gate(x_se) 2025-09-07T09:02:01.1545351Z 2025-09-07T09:02:01.1545449Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1545639Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1545703Z return mod(*inputs) 2025-09-07T09:02:01.1545906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1545974Z x = self.forward_features(x) 2025-09-07T09:02:01.1546198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1546261Z x = self.blocks(x) 2025-09-07T09:02:01.1546471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1546542Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1546733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1546841Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1547057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1547159Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1547164Z 2025-09-07T09:02:01.1547269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1547452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1547524Z return mod(*inputs) 2025-09-07T09:02:01.1547719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1547786Z x = self.forward_features(x) 2025-09-07T09:02:01.1548009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1548069Z x = self.blocks(x) 2025-09-07T09:02:01.1548284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1548348Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1548545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1548661Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1548877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1548998Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1549001Z 2025-09-07T09:02:01.1549099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1549290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1549353Z return mod(*inputs) 2025-09-07T09:02:01.1549549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1549626Z x = self.forward_features(x) 2025-09-07T09:02:01.1549844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1549913Z x = self.blocks(x) 2025-09-07T09:02:01.1550123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1550190Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1550391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1550491Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1550697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1550792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1550795Z 2025-09-07T09:02:01.1550899Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1551085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1551147Z return mod(*inputs) 2025-09-07T09:02:01.1551348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1551416Z x = self.forward_features(x) 2025-09-07T09:02:01.1551641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1551702Z x = self.blocks(x) 2025-09-07T09:02:01.1551910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1551984Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1552173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1552279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1552492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1552587Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1552597Z 2025-09-07T09:02:01.1552675Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1552752Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1552858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1553044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1553116Z return mod(*inputs) 2025-09-07T09:02:01.1553310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1553379Z x = self.forward_features(x) 2025-09-07T09:02:01.1553602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1553665Z x = self.blocks(x) 2025-09-07T09:02:01.1553882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1553947Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1554152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1554225Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1554244Z 2025-09-07T09:02:01.1554356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1554546Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1554608Z return mod(*inputs) 2025-09-07T09:02:01.1554804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1554880Z x = self.forward_features(x) 2025-09-07T09:02:01.1555094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1555163Z x = self.blocks(x) 2025-09-07T09:02:01.1555374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1555448Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1555461Z 2025-09-07T09:02:01.1555560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1555744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1555816Z return mod(*inputs) 2025-09-07T09:02:01.1556017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1556090Z x = self.forward_features(x) 2025-09-07T09:02:01.1556307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1556370Z x = self.blocks(x) 2025-09-07T09:02:01.1556587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1556653Z x = self.conv_pw(x) 2025-09-07T09:02:01.1556856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1556958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1557160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1557268Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1557271Z 2025-09-07T09:02:01.1557367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1557560Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1557623Z return mod(*inputs) 2025-09-07T09:02:01.1557818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1557892Z x = self.forward_features(x) 2025-09-07T09:02:01.1558123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1558195Z x = self.blocks(x) 2025-09-07T09:02:01.1558403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1558476Z x = self.conv_pw(x) 2025-09-07T09:02:01.1558667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1558765Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1558975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1559072Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1559076Z 2025-09-07T09:02:01.1559179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1559362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1559425Z return mod(*inputs) 2025-09-07T09:02:01.1559646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1559734Z x = self.forward_features(x) 2025-09-07T09:02:01.1559960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1560039Z x = self.blocks(x) 2025-09-07T09:02:01.1560251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1560321Z x = self.conv_pw(x) 2025-09-07T09:02:01.1560512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1560618Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1560822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1560925Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1560930Z 2025-09-07T09:02:01.1561029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1561217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1561289Z return mod(*inputs) 2025-09-07T09:02:01.1561486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1561561Z x = self.forward_features(x) 2025-09-07T09:02:01.1561781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1561841Z x = self.blocks(x) 2025-09-07T09:02:01.1562057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1562123Z x = self.conv_pw(x) 2025-09-07T09:02:01.1562319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1562419Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1562620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1562728Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1562731Z 2025-09-07T09:02:01.1562808Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1562892Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1562990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1563182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1563242Z return mod(*inputs) 2025-09-07T09:02:01.1563453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1563529Z x = self.forward_features(x) 2025-09-07T09:02:01.1563750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1563818Z x = self.blocks(x) 2025-09-07T09:02:01.1564031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1564097Z x = self.conv_pw(x) 2025-09-07T09:02:01.1564295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1564360Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1564363Z 2025-09-07T09:02:01.1564468Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1564653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1564716Z return mod(*inputs) 2025-09-07T09:02:01.1564919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1565006Z x = self.forward_features(x) 2025-09-07T09:02:01.1565243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1565303Z x = self.blocks(x) 2025-09-07T09:02:01.1565523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1565592Z x = self.conv_dw(x) 2025-09-07T09:02:01.1565782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1565887Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1566090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1566198Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1566201Z 2025-09-07T09:02:01.1566299Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1566483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1566554Z return mod(*inputs) 2025-09-07T09:02:01.1566752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1566829Z x = self.forward_features(x) 2025-09-07T09:02:01.1567046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1567108Z x = self.blocks(x) 2025-09-07T09:02:01.1567327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1567388Z x = self.conv_dw(x) 2025-09-07T09:02:01.1567584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1567682Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1567884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1567990Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1567995Z 2025-09-07T09:02:01.1568093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1568282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1568344Z return mod(*inputs) 2025-09-07T09:02:01.1568546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1568614Z x = self.forward_features(x) 2025-09-07T09:02:01.1568829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1568936Z x = self.blocks(x) 2025-09-07T09:02:01.1569145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1569221Z x = self.conv_dw(x) 2025-09-07T09:02:01.1569411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1569510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1569716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1569813Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1569816Z 2025-09-07T09:02:01.1569922Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1570107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1570170Z return mod(*inputs) 2025-09-07T09:02:01.1570377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1570443Z x = self.forward_features(x) 2025-09-07T09:02:01.1570682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1570755Z x = self.blocks(x) 2025-09-07T09:02:01.1570991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1571056Z x = self.conv_dw(x) 2025-09-07T09:02:01.1571248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1571351Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1571554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1571657Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1571662Z 2025-09-07T09:02:01.1571759Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1571947Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1572018Z return mod(*inputs) 2025-09-07T09:02:01.1572216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1572292Z x = self.forward_features(x) 2025-09-07T09:02:01.1572510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1572573Z x = self.blocks(x) 2025-09-07T09:02:01.1572792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1572853Z x = self.conv_dw(x) 2025-09-07T09:02:01.1573053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1573151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1573359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1573460Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1573464Z 2025-09-07T09:02:01.1573561Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1573755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1573817Z return mod(*inputs) 2025-09-07T09:02:01.1574021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1574088Z x = self.forward_features(x) 2025-09-07T09:02:01.1574308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1574391Z x = self.blocks(x) 2025-09-07T09:02:01.1574603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1574676Z x = self.conv_dw(x) 2025-09-07T09:02:01.1574869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1574964Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1575172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1575269Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1575272Z 2025-09-07T09:02:01.1575376Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1575561Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1575631Z return mod(*inputs) 2025-09-07T09:02:01.1575828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1575894Z x = self.forward_features(x) 2025-09-07T09:02:01.1576132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1576206Z x = self.blocks(x) 2025-09-07T09:02:01.1576435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1576496Z x = self.conv_dw(x) 2025-09-07T09:02:01.1576688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1576792Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1576999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1577102Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1577106Z 2025-09-07T09:02:01.1577205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1577393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1577466Z return mod(*inputs) 2025-09-07T09:02:01.1577668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1577743Z x = self.forward_features(x) 2025-09-07T09:02:01.1577969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1578037Z x = self.blocks(x) 2025-09-07T09:02:01.1578253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1578315Z x = self.conv_dw(x) 2025-09-07T09:02:01.1578517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1578617Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1578832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1578932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1578936Z 2025-09-07T09:02:01.1579015Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1579102Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1579177Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1579261Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1579357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1579545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1579616Z return mod(*inputs) 2025-09-07T09:02:01.1579818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1579908Z x = self.forward_features(x) 2025-09-07T09:02:01.1580127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1580188Z x = self.blocks(x) 2025-09-07T09:02:01.1580406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1580469Z x = self.conv_dw(x) 2025-09-07T09:02:01.1580667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1580732Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1580735Z 2025-09-07T09:02:01.1580811Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1580916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1581098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1581167Z return mod(*inputs) 2025-09-07T09:02:01.1581363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1581464Z x = self.forward_features(x) 2025-09-07T09:02:01.1581699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1581774Z x = self.blocks(x) 2025-09-07T09:02:01.1581992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1582052Z x = self.se(x) 2025-09-07T09:02:01.1582267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1582341Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1582344Z 2025-09-07T09:02:01.1582441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1582635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1582700Z return mod(*inputs) 2025-09-07T09:02:01.1582904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1582973Z x = self.forward_features(x) 2025-09-07T09:02:01.1583190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1583261Z x = self.blocks(x) 2025-09-07T09:02:01.1583467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1583535Z x = self.se(x) 2025-09-07T09:02:01.1583740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1583807Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1583818Z 2025-09-07T09:02:01.1583915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1584100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1584170Z return mod(*inputs) 2025-09-07T09:02:01.1584368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1584444Z x = self.forward_features(x) 2025-09-07T09:02:01.1584661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1584722Z x = self.blocks(x) 2025-09-07T09:02:01.1584936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1584996Z x = self.se(x) 2025-09-07T09:02:01.1585210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1585274Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1585277Z 2025-09-07T09:02:01.1585389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1585578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1585642Z return mod(*inputs) 2025-09-07T09:02:01.1585847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1585917Z x = self.forward_features(x) 2025-09-07T09:02:01.1586132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1586203Z x = self.blocks(x) 2025-09-07T09:02:01.1586410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1586476Z x = self.se(x) 2025-09-07T09:02:01.1586681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1586746Z return x * self.gate(x_se) 2025-09-07T09:02:01.1586757Z 2025-09-07T09:02:01.1586852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1587032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1587120Z return mod(*inputs) 2025-09-07T09:02:01.1587330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1587417Z x = self.forward_features(x) 2025-09-07T09:02:01.1587632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1587693Z x = self.blocks(x) 2025-09-07T09:02:01.1587910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1587969Z x = self.se(x) 2025-09-07T09:02:01.1588180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1588249Z return x * self.gate(x_se) 2025-09-07T09:02:01.1588252Z 2025-09-07T09:02:01.1588346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1588541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1588606Z return mod(*inputs) 2025-09-07T09:02:01.1588808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1588874Z x = self.forward_features(x) 2025-09-07T09:02:01.1589093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1589163Z x = self.blocks(x) 2025-09-07T09:02:01.1589372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1589437Z x = self.se(x) 2025-09-07T09:02:01.1589645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1589717Z return x * self.gate(x_se) 2025-09-07T09:02:01.1589721Z 2025-09-07T09:02:01.1589816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1590000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1590071Z return mod(*inputs) 2025-09-07T09:02:01.1590265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1590340Z x = self.forward_features(x) 2025-09-07T09:02:01.1590556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1590616Z x = self.blocks(x) 2025-09-07T09:02:01.1590834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1590897Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1591113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1591217Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1591420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1591529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1591532Z 2025-09-07T09:02:01.1591627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1591815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1591878Z return mod(*inputs) 2025-09-07T09:02:01.1592081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1592149Z x = self.forward_features(x) 2025-09-07T09:02:01.1592369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1592440Z x = self.blocks(x) 2025-09-07T09:02:01.1592666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1592754Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1592945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1593060Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1593275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1593372Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1593375Z 2025-09-07T09:02:01.1593479Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1593667Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1593729Z return mod(*inputs) 2025-09-07T09:02:01.1593931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1593999Z x = self.forward_features(x) 2025-09-07T09:02:01.1594226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1594290Z x = self.blocks(x) 2025-09-07T09:02:01.1594498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1594571Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1594761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1594868Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1595071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1595175Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1595180Z 2025-09-07T09:02:01.1595277Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1595463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1595538Z return mod(*inputs) 2025-09-07T09:02:01.1595737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1595810Z x = self.forward_features(x) 2025-09-07T09:02:01.1596028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1596088Z x = self.blocks(x) 2025-09-07T09:02:01.1596307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1596372Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1596589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1596690Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1596896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1597003Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1597006Z 2025-09-07T09:02:01.1597084Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1597167Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1597265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1597457Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1597519Z return mod(*inputs) 2025-09-07T09:02:01.1597720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1597795Z x = self.forward_features(x) 2025-09-07T09:02:01.1598018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1598102Z x = self.blocks(x) 2025-09-07T09:02:01.1598331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1598411Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1598608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1598673Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1598676Z 2025-09-07T09:02:01.1598777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1598962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1599026Z return mod(*inputs) 2025-09-07T09:02:01.1599228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1599294Z x = self.forward_features(x) 2025-09-07T09:02:01.1599522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1599584Z x = self.blocks(x) 2025-09-07T09:02:01.1599794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1599876Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1599879Z 2025-09-07T09:02:01.1599973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1600165Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1600226Z return mod(*inputs) 2025-09-07T09:02:01.1600426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1600493Z x = self.forward_features(x) 2025-09-07T09:02:01.1600709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1600782Z x = self.blocks(x) 2025-09-07T09:02:01.1600992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1601062Z x = self.bn1(x) 2025-09-07T09:02:01.1601251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1601312Z x = self.act(x) 2025-09-07T09:02:01.1601315Z 2025-09-07T09:02:01.1601415Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1601596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1601663Z return mod(*inputs) 2025-09-07T09:02:01.1601857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1601948Z x = self.forward_features(x) 2025-09-07T09:02:01.1602171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1602233Z x = self.blocks(x) 2025-09-07T09:02:01.1602453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1602513Z x = self.bn1(x) 2025-09-07T09:02:01.1602699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1602767Z x = self.act(x) 2025-09-07T09:02:01.1602770Z 2025-09-07T09:02:01.1602865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1603057Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1603120Z return mod(*inputs) 2025-09-07T09:02:01.1603325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1603394Z x = self.forward_features(x) 2025-09-07T09:02:01.1603611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1603697Z x = self.blocks(x) 2025-09-07T09:02:01.1603925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T09:02:01.1604005Z x = self.bn2(x) 2025-09-07T09:02:01.1604191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1604251Z x = self.act(x) 2025-09-07T09:02:01.1604254Z 2025-09-07T09:02:01.1604359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1604541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1604609Z return mod(*inputs) 2025-09-07T09:02:01.1604804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1604871Z x = self.forward_features(x) 2025-09-07T09:02:01.1605095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1605157Z x = self.blocks(x) 2025-09-07T09:02:01.1605376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward 2025-09-07T09:02:01.1605435Z x = self.bn2(x) 2025-09-07T09:02:01.1605618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1605686Z x = self.act(x) 2025-09-07T09:02:01.1605689Z 2025-09-07T09:02:01.1605765Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1605871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1606056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1606128Z return mod(*inputs) 2025-09-07T09:02:01.1606324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1606393Z x = self.forward_features(x) 2025-09-07T09:02:01.1606621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1606685Z x = self.blocks(x) 2025-09-07T09:02:01.1606904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1606963Z x = self.se(x) 2025-09-07T09:02:01.1607170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1607252Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1607255Z 2025-09-07T09:02:01.1607350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1607555Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1607620Z return mod(*inputs) 2025-09-07T09:02:01.1607818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1607895Z x = self.forward_features(x) 2025-09-07T09:02:01.1608112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1608181Z x = self.blocks(x) 2025-09-07T09:02:01.1608388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1608446Z x = self.se(x) 2025-09-07T09:02:01.1608661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1608726Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1608729Z 2025-09-07T09:02:01.1608835Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1609018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1609103Z return mod(*inputs) 2025-09-07T09:02:01.1609311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1609396Z x = self.forward_features(x) 2025-09-07T09:02:01.1609629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1609690Z x = self.blocks(x) 2025-09-07T09:02:01.1609911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1609972Z x = self.se(x) 2025-09-07T09:02:01.1610181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1610255Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1610259Z 2025-09-07T09:02:01.1610359Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1610554Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1610620Z return mod(*inputs) 2025-09-07T09:02:01.1610824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1610900Z x = self.forward_features(x) 2025-09-07T09:02:01.1611121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1611187Z x = self.blocks(x) 2025-09-07T09:02:01.1611403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1611466Z x = self.se(x) 2025-09-07T09:02:01.1611677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1611745Z return x * self.gate(x_se) 2025-09-07T09:02:01.1611748Z 2025-09-07T09:02:01.1611853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1612046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1612115Z return mod(*inputs) 2025-09-07T09:02:01.1612314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1612380Z x = self.forward_features(x) 2025-09-07T09:02:01.1612610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1612672Z x = self.blocks(x) 2025-09-07T09:02:01.1612896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1612956Z x = self.se(x) 2025-09-07T09:02:01.1613181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1613260Z return x * self.gate(x_se) 2025-09-07T09:02:01.1613264Z 2025-09-07T09:02:01.1613360Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1613551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1613617Z return mod(*inputs) 2025-09-07T09:02:01.1613813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1613888Z x = self.forward_features(x) 2025-09-07T09:02:01.1614104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1614172Z x = self.blocks(x) 2025-09-07T09:02:01.1614380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1614445Z x = self.se(x) 2025-09-07T09:02:01.1614651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1614734Z return x * self.gate(x_se) 2025-09-07T09:02:01.1614737Z 2025-09-07T09:02:01.1614841Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1615040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1615126Z return mod(*inputs) 2025-09-07T09:02:01.1615322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1615390Z x = self.forward_features(x) 2025-09-07T09:02:01.1615614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1615676Z x = self.blocks(x) 2025-09-07T09:02:01.1615893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1615959Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1615962Z 2025-09-07T09:02:01.1616059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1616258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1616323Z return mod(*inputs) 2025-09-07T09:02:01.1616527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1616594Z x = self.forward_features(x) 2025-09-07T09:02:01.1616819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1616880Z x = self.blocks(x) 2025-09-07T09:02:01.1617088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1617161Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1617164Z 2025-09-07T09:02:01.1617262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1617454Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1617519Z return mod(*inputs) 2025-09-07T09:02:01.1617717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1617797Z x = self.forward_features(x) 2025-09-07T09:02:01.1618015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1618089Z x = self.blocks(x) 2025-09-07T09:02:01.1618297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1618360Z x = self.conv_pw(x) 2025-09-07T09:02:01.1618561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1618674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1618885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1618985Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1618988Z 2025-09-07T09:02:01.1619093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1619278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1619339Z return mod(*inputs) 2025-09-07T09:02:01.1619540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1619608Z x = self.forward_features(x) 2025-09-07T09:02:01.1619830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1619889Z x = self.blocks(x) 2025-09-07T09:02:01.1620097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1620167Z x = self.conv_pw(x) 2025-09-07T09:02:01.1620376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1620500Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1620721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1620818Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1620821Z 2025-09-07T09:02:01.1620924Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1621104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1621172Z return mod(*inputs) 2025-09-07T09:02:01.1621368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1621433Z x = self.forward_features(x) 2025-09-07T09:02:01.1621658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1621719Z x = self.blocks(x) 2025-09-07T09:02:01.1621932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1621996Z x = self.conv_pw(x) 2025-09-07T09:02:01.1622195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1622291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1622491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1622594Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1622597Z 2025-09-07T09:02:01.1622695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1622886Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1622950Z return mod(*inputs) 2025-09-07T09:02:01.1623146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1623223Z x = self.forward_features(x) 2025-09-07T09:02:01.1623438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1623505Z x = self.blocks(x) 2025-09-07T09:02:01.1623711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1623773Z x = self.conv_pw(x) 2025-09-07T09:02:01.1623968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1624078Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1624289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1624385Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1624388Z 2025-09-07T09:02:01.1624473Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1624552Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1624647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1624840Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1624901Z return mod(*inputs) 2025-09-07T09:02:01.1625106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1625174Z x = self.forward_features(x) 2025-09-07T09:02:01.1625389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1625456Z x = self.blocks(x) 2025-09-07T09:02:01.1625667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1625750Z x = self.conv_pw(x) 2025-09-07T09:02:01.1625953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1626034Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1626037Z 2025-09-07T09:02:01.1626141Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1626326Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1626392Z return mod(*inputs) 2025-09-07T09:02:01.1626587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1626655Z x = self.forward_features(x) 2025-09-07T09:02:01.1626886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1626947Z x = self.blocks(x) 2025-09-07T09:02:01.1627165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1627227Z x = self.conv_dw(x) 2025-09-07T09:02:01.1627429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1627529Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1627733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1627838Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1627842Z 2025-09-07T09:02:01.1627937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1628128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1628192Z return mod(*inputs) 2025-09-07T09:02:01.1628393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1628471Z x = self.forward_features(x) 2025-09-07T09:02:01.1628692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1628762Z x = self.blocks(x) 2025-09-07T09:02:01.1628973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1629035Z x = self.conv_dw(x) 2025-09-07T09:02:01.1629233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1629330Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1629554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1629652Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1629655Z 2025-09-07T09:02:01.1629764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1629948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1630011Z return mod(*inputs) 2025-09-07T09:02:01.1630213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1630280Z x = self.forward_features(x) 2025-09-07T09:02:01.1630506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1630570Z x = self.blocks(x) 2025-09-07T09:02:01.1630813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1630885Z x = self.conv_dw(x) 2025-09-07T09:02:01.1631081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1631221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1631452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1631575Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1631586Z 2025-09-07T09:02:01.1631686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1631872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1631954Z return mod(*inputs) 2025-09-07T09:02:01.1632148Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1632227Z x = self.forward_features(x) 2025-09-07T09:02:01.1632450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1632514Z x = self.blocks(x) 2025-09-07T09:02:01.1632740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1632804Z x = self.conv_dw(x) 2025-09-07T09:02:01.1633013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1633118Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1633330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1633440Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1633442Z 2025-09-07T09:02:01.1633541Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1633736Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1633800Z return mod(*inputs) 2025-09-07T09:02:01.1633999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1634080Z x = self.forward_features(x) 2025-09-07T09:02:01.1634305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1634379Z x = self.blocks(x) 2025-09-07T09:02:01.1634591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1634662Z x = self.conv_dw(x) 2025-09-07T09:02:01.1634859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1634958Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1635172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1635291Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1635294Z 2025-09-07T09:02:01.1635401Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1635591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1635654Z return mod(*inputs) 2025-09-07T09:02:01.1635864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1635932Z x = self.forward_features(x) 2025-09-07T09:02:01.1636162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1636224Z x = self.blocks(x) 2025-09-07T09:02:01.1636439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1636511Z x = self.conv_dw(x) 2025-09-07T09:02:01.1636710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1636816Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1637056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1637163Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1637181Z 2025-09-07T09:02:01.1637283Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1637468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1637539Z return mod(*inputs) 2025-09-07T09:02:01.1637740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1637816Z x = self.forward_features(x) 2025-09-07T09:02:01.1638037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1638100Z x = self.blocks(x) 2025-09-07T09:02:01.1638322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1638386Z x = self.conv_dw(x) 2025-09-07T09:02:01.1638591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1638691Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1638897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1639001Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1639004Z 2025-09-07T09:02:01.1639104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1639297Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1639362Z return mod(*inputs) 2025-09-07T09:02:01.1639566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1639639Z x = self.forward_features(x) 2025-09-07T09:02:01.1639864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1639938Z x = self.blocks(x) 2025-09-07T09:02:01.1640153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1640224Z x = self.conv_dw(x) 2025-09-07T09:02:01.1640421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1640517Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1640730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1640843Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1640846Z 2025-09-07T09:02:01.1640933Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1641012Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1641090Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1641173Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1641275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1641470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1641535Z return mod(*inputs) 2025-09-07T09:02:01.1641741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1641816Z x = self.forward_features(x) 2025-09-07T09:02:01.1642041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1642113Z x = self.blocks(x) 2025-09-07T09:02:01.1642329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1642415Z x = self.conv_dw(x) 2025-09-07T09:02:01.1642641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1642724Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1642727Z 2025-09-07T09:02:01.1642813Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1642911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1643108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1643173Z return mod(*inputs) 2025-09-07T09:02:01.1643376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1643455Z x = self.forward_features(x) 2025-09-07T09:02:01.1643683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1643754Z x = self.blocks(x) 2025-09-07T09:02:01.1643971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1644034Z x = self.se(x) 2025-09-07T09:02:01.1644265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1644339Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1644342Z 2025-09-07T09:02:01.1644449Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1644633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1644696Z return mod(*inputs) 2025-09-07T09:02:01.1644900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1644969Z x = self.forward_features(x) 2025-09-07T09:02:01.1645196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1645258Z x = self.blocks(x) 2025-09-07T09:02:01.1645475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1645535Z x = self.se(x) 2025-09-07T09:02:01.1645744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1645817Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1645820Z 2025-09-07T09:02:01.1645917Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1646110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1646171Z return mod(*inputs) 2025-09-07T09:02:01.1646383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1646459Z x = self.forward_features(x) 2025-09-07T09:02:01.1646677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1646749Z x = self.blocks(x) 2025-09-07T09:02:01.1646957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1647017Z x = self.se(x) 2025-09-07T09:02:01.1647234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1647300Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1647303Z 2025-09-07T09:02:01.1647407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1647592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1647653Z return mod(*inputs) 2025-09-07T09:02:01.1647856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1647923Z x = self.forward_features(x) 2025-09-07T09:02:01.1648166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1648240Z x = self.blocks(x) 2025-09-07T09:02:01.1648492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1648552Z x = self.se(x) 2025-09-07T09:02:01.1648759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1648834Z return x * self.gate(x_se) 2025-09-07T09:02:01.1648837Z 2025-09-07T09:02:01.1648932Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1649123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1649186Z return mod(*inputs) 2025-09-07T09:02:01.1649383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1649459Z x = self.forward_features(x) 2025-09-07T09:02:01.1649676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1649742Z x = self.blocks(x) 2025-09-07T09:02:01.1649948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1650007Z x = self.se(x) 2025-09-07T09:02:01.1650222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1650286Z return x * self.gate(x_se) 2025-09-07T09:02:01.1650290Z 2025-09-07T09:02:01.1650394Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1650578Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1650647Z return mod(*inputs) 2025-09-07T09:02:01.1650839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1650907Z x = self.forward_features(x) 2025-09-07T09:02:01.1651130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1651190Z x = self.blocks(x) 2025-09-07T09:02:01.1651406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1651463Z x = self.se(x) 2025-09-07T09:02:01.1651668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1651742Z return x * self.gate(x_se) 2025-09-07T09:02:01.1651745Z 2025-09-07T09:02:01.1651819Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1651937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1652123Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1652188Z return mod(*inputs) 2025-09-07T09:02:01.1652391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1652459Z x = self.forward_features(x) 2025-09-07T09:02:01.1652681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1652741Z x = self.blocks(x) 2025-09-07T09:02:01.1652947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1653019Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1653210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1653321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1653521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1653644Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1653647Z 2025-09-07T09:02:01.1653758Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1653976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1654048Z return mod(*inputs) 2025-09-07T09:02:01.1654244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1654318Z x = self.forward_features(x) 2025-09-07T09:02:01.1654536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1654599Z x = self.blocks(x) 2025-09-07T09:02:01.1654820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1654884Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1655082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1655182Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1655386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1655493Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1655496Z 2025-09-07T09:02:01.1655574Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1655681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1655864Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1655937Z return mod(*inputs) 2025-09-07T09:02:01.1656135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1656201Z x = self.forward_features(x) 2025-09-07T09:02:01.1656429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1656492Z x = self.blocks(x) 2025-09-07T09:02:01.1656709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1656773Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1656961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1657066Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1657264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1657364Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1657381Z 2025-09-07T09:02:01.1657480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1657661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1657732Z return mod(*inputs) 2025-09-07T09:02:01.1657928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1658004Z x = self.forward_features(x) 2025-09-07T09:02:01.1658223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1658283Z x = self.blocks(x) 2025-09-07T09:02:01.1658499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1658564Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1658765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1658863Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1659072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1659199Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1659202Z 2025-09-07T09:02:01.1659293Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1659378Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1659475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1659669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1659730Z return mod(*inputs) 2025-09-07T09:02:01.1659930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1660007Z x = self.forward_features(x) 2025-09-07T09:02:01.1660227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1660298Z x = self.blocks(x) 2025-09-07T09:02:01.1660511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1660577Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1660780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1660846Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1660849Z 2025-09-07T09:02:01.1660953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1661137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1661200Z return mod(*inputs) 2025-09-07T09:02:01.1661403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1661469Z x = self.forward_features(x) 2025-09-07T09:02:01.1661695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1661757Z x = self.blocks(x) 2025-09-07T09:02:01.1661976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1662048Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1662051Z 2025-09-07T09:02:01.1662146Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1662343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1662406Z return mod(*inputs) 2025-09-07T09:02:01.1662608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1662673Z x = self.forward_features(x) 2025-09-07T09:02:01.1662904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1662974Z x = self.blocks(x) 2025-09-07T09:02:01.1663189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1663261Z x = self.conv_pw(x) 2025-09-07T09:02:01.1663452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1663550Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1663761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1663857Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1663860Z 2025-09-07T09:02:01.1663963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1664146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1664219Z return mod(*inputs) 2025-09-07T09:02:01.1664415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1664505Z x = self.forward_features(x) 2025-09-07T09:02:01.1664747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1664821Z x = self.blocks(x) 2025-09-07T09:02:01.1665040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1665103Z x = self.conv_pw(x) 2025-09-07T09:02:01.1665294Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1665401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1665602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1665708Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1665711Z 2025-09-07T09:02:01.1665810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1666005Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1666069Z return mod(*inputs) 2025-09-07T09:02:01.1666272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1666349Z x = self.forward_features(x) 2025-09-07T09:02:01.1666567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1666635Z x = self.blocks(x) 2025-09-07T09:02:01.1666848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1666912Z x = self.conv_pw(x) 2025-09-07T09:02:01.1667111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1667210Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1667422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1667519Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1667524Z 2025-09-07T09:02:01.1667622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1667814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1667881Z return mod(*inputs) 2025-09-07T09:02:01.1668088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1668156Z x = self.forward_features(x) 2025-09-07T09:02:01.1668389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1668459Z x = self.blocks(x) 2025-09-07T09:02:01.1668669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1668742Z x = self.conv_pw(x) 2025-09-07T09:02:01.1668936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1669043Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1669244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1669340Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1669343Z 2025-09-07T09:02:01.1669429Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1669504Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1669608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1669795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1669859Z return mod(*inputs) 2025-09-07T09:02:01.1670079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1670162Z x = self.forward_features(x) 2025-09-07T09:02:01.1670399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1670460Z x = self.blocks(x) 2025-09-07T09:02:01.1670670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1670740Z x = self.conv_pw(x) 2025-09-07T09:02:01.1670932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1671005Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1671008Z 2025-09-07T09:02:01.1671107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1671292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1671366Z return mod(*inputs) 2025-09-07T09:02:01.1671563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1671641Z x = self.forward_features(x) 2025-09-07T09:02:01.1671860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1671929Z x = self.blocks(x) 2025-09-07T09:02:01.1672138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1672198Z x = self.conv_dw(x) 2025-09-07T09:02:01.1672395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1672496Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1672707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1672807Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1672810Z 2025-09-07T09:02:01.1672910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1673104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1673166Z return mod(*inputs) 2025-09-07T09:02:01.1673366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1673435Z x = self.forward_features(x) 2025-09-07T09:02:01.1673653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1673721Z x = self.blocks(x) 2025-09-07T09:02:01.1673945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1674014Z x = self.conv_dw(x) 2025-09-07T09:02:01.1674207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1674310Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1674515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1674613Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1674615Z 2025-09-07T09:02:01.1674721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1674907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1674975Z return mod(*inputs) 2025-09-07T09:02:01.1675170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1675237Z x = self.forward_features(x) 2025-09-07T09:02:01.1675461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1675536Z x = self.blocks(x) 2025-09-07T09:02:01.1675766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1675841Z x = self.conv_dw(x) 2025-09-07T09:02:01.1676032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1676136Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1676336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1676439Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1676442Z 2025-09-07T09:02:01.1676537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1676731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1676794Z return mod(*inputs) 2025-09-07T09:02:01.1676994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1677070Z x = self.forward_features(x) 2025-09-07T09:02:01.1677290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1677356Z x = self.blocks(x) 2025-09-07T09:02:01.1677568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1677629Z x = self.conv_dw(x) 2025-09-07T09:02:01.1677827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1677923Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1678135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1678233Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1678236Z 2025-09-07T09:02:01.1678345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1678529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1678592Z return mod(*inputs) 2025-09-07T09:02:01.1678796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1678864Z x = self.forward_features(x) 2025-09-07T09:02:01.1679089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1679151Z x = self.blocks(x) 2025-09-07T09:02:01.1679376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1679448Z x = self.conv_dw(x) 2025-09-07T09:02:01.1679638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1679746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1679946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1680045Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1680048Z 2025-09-07T09:02:01.1680154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1680339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1680408Z return mod(*inputs) 2025-09-07T09:02:01.1680605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1680674Z x = self.forward_features(x) 2025-09-07T09:02:01.1680902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1680980Z x = self.blocks(x) 2025-09-07T09:02:01.1681216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1681289Z x = self.conv_dw(x) 2025-09-07T09:02:01.1681493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1681591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1681794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1681898Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1681900Z 2025-09-07T09:02:01.1681999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1682190Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1682254Z return mod(*inputs) 2025-09-07T09:02:01.1682450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1682525Z x = self.forward_features(x) 2025-09-07T09:02:01.1682746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1682815Z x = self.blocks(x) 2025-09-07T09:02:01.1683026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1683088Z x = self.conv_dw(x) 2025-09-07T09:02:01.1683290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1683386Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1683596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1683692Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1683695Z 2025-09-07T09:02:01.1683801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1683989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1684053Z return mod(*inputs) 2025-09-07T09:02:01.1684260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1684326Z x = self.forward_features(x) 2025-09-07T09:02:01.1684551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1684612Z x = self.blocks(x) 2025-09-07T09:02:01.1684845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1684917Z x = self.conv_dw(x) 2025-09-07T09:02:01.1685111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1685219Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1685426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1685523Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1685534Z 2025-09-07T09:02:01.1685611Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1685688Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1685771Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1685843Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1685941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1686136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1686198Z return mod(*inputs) 2025-09-07T09:02:01.1686407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1686493Z x = self.forward_features(x) 2025-09-07T09:02:01.1686736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1686816Z x = self.blocks(x) 2025-09-07T09:02:01.1687026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1687094Z x = self.conv_dw(x) 2025-09-07T09:02:01.1687282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1687356Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1687359Z 2025-09-07T09:02:01.1687433Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1687530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1687721Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1687786Z return mod(*inputs) 2025-09-07T09:02:01.1687989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1688056Z x = self.forward_features(x) 2025-09-07T09:02:01.1688275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1688345Z x = self.blocks(x) 2025-09-07T09:02:01.1688555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1688621Z x = self.se(x) 2025-09-07T09:02:01.1688829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1688903Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1688915Z 2025-09-07T09:02:01.1689014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1689198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1689269Z return mod(*inputs) 2025-09-07T09:02:01.1689470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1689546Z x = self.forward_features(x) 2025-09-07T09:02:01.1689764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1689825Z x = self.blocks(x) 2025-09-07T09:02:01.1690044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1690103Z x = self.se(x) 2025-09-07T09:02:01.1690331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1690398Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1690401Z 2025-09-07T09:02:01.1690497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1690694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1690760Z return mod(*inputs) 2025-09-07T09:02:01.1690966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1691032Z x = self.forward_features(x) 2025-09-07T09:02:01.1691249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1691321Z x = self.blocks(x) 2025-09-07T09:02:01.1691530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1691596Z x = self.se(x) 2025-09-07T09:02:01.1691808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1691873Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1691899Z 2025-09-07T09:02:01.1691995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1692195Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1692282Z return mod(*inputs) 2025-09-07T09:02:01.1692482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1692560Z x = self.forward_features(x) 2025-09-07T09:02:01.1692780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1692841Z x = self.blocks(x) 2025-09-07T09:02:01.1693063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1693122Z x = self.se(x) 2025-09-07T09:02:01.1693339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1693406Z return x * self.gate(x_se) 2025-09-07T09:02:01.1693409Z 2025-09-07T09:02:01.1693505Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1693699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1693762Z return mod(*inputs) 2025-09-07T09:02:01.1693971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1694040Z x = self.forward_features(x) 2025-09-07T09:02:01.1694260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1694331Z x = self.blocks(x) 2025-09-07T09:02:01.1694542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1694612Z x = self.se(x) 2025-09-07T09:02:01.1694820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1694890Z return x * self.gate(x_se) 2025-09-07T09:02:01.1694900Z 2025-09-07T09:02:01.1694997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1695185Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1695255Z return mod(*inputs) 2025-09-07T09:02:01.1695452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1695527Z x = self.forward_features(x) 2025-09-07T09:02:01.1695745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1695805Z x = self.blocks(x) 2025-09-07T09:02:01.1696036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1696096Z x = self.se(x) 2025-09-07T09:02:01.1696314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1696380Z return x * self.gate(x_se) 2025-09-07T09:02:01.1696385Z 2025-09-07T09:02:01.1696482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1696673Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1696735Z return mod(*inputs) 2025-09-07T09:02:01.1696947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1697013Z x = self.forward_features(x) 2025-09-07T09:02:01.1697232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1697303Z x = self.blocks(x) 2025-09-07T09:02:01.1697514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1697604Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1697810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1697932Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1698137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1698238Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1698241Z 2025-09-07T09:02:01.1698345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1698530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1698597Z return mod(*inputs) 2025-09-07T09:02:01.1698794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1698860Z x = self.forward_features(x) 2025-09-07T09:02:01.1699083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1699145Z x = self.blocks(x) 2025-09-07T09:02:01.1699360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1699424Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1699614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1699721Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1699920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1700025Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1700029Z 2025-09-07T09:02:01.1700128Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1700319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1700382Z return mod(*inputs) 2025-09-07T09:02:01.1700581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1700655Z x = self.forward_features(x) 2025-09-07T09:02:01.1700871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1700939Z x = self.blocks(x) 2025-09-07T09:02:01.1701147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1701211Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1701425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1701524Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1701729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1701828Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1701832Z 2025-09-07T09:02:01.1701931Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1702120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1702184Z return mod(*inputs) 2025-09-07T09:02:01.1702386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1702452Z x = self.forward_features(x) 2025-09-07T09:02:01.1702676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1702740Z x = self.blocks(x) 2025-09-07T09:02:01.1702952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1703040Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1703249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1703378Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1703582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1703681Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1703683Z 2025-09-07T09:02:01.1703771Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1703848Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1703954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1704136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1704201Z return mod(*inputs) 2025-09-07T09:02:01.1704406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1704474Z x = self.forward_features(x) 2025-09-07T09:02:01.1704707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1704770Z x = self.blocks(x) 2025-09-07T09:02:01.1704980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1705053Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1705245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1705318Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1705321Z 2025-09-07T09:02:01.1705417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1705608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1705671Z return mod(*inputs) 2025-09-07T09:02:01.1705869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1705946Z x = self.forward_features(x) 2025-09-07T09:02:01.1706166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1706235Z x = self.blocks(x) 2025-09-07T09:02:01.1706446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1706518Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1706521Z 2025-09-07T09:02:01.1706624Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1706805Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1706890Z return mod(*inputs) 2025-09-07T09:02:01.1707084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1707154Z x = self.forward_features(x) 2025-09-07T09:02:01.1707380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1707444Z x = self.blocks(x) 2025-09-07T09:02:01.1707656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1707718Z x = self.conv_pw(x) 2025-09-07T09:02:01.1707909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1708014Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1708214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1708321Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1708323Z 2025-09-07T09:02:01.1708419Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1708625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1708702Z return mod(*inputs) 2025-09-07T09:02:01.1708912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1708989Z x = self.forward_features(x) 2025-09-07T09:02:01.1709209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1709279Z x = self.blocks(x) 2025-09-07T09:02:01.1709489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1709551Z x = self.conv_pw(x) 2025-09-07T09:02:01.1709749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1709845Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1710055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1710152Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1710156Z 2025-09-07T09:02:01.1710260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1710440Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1710502Z return mod(*inputs) 2025-09-07T09:02:01.1710704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1710769Z x = self.forward_features(x) 2025-09-07T09:02:01.1710995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1711056Z x = self.blocks(x) 2025-09-07T09:02:01.1711263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1711335Z x = self.conv_pw(x) 2025-09-07T09:02:01.1711528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1711636Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1711835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1711929Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1711940Z 2025-09-07T09:02:01.1712035Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1712215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1712302Z return mod(*inputs) 2025-09-07T09:02:01.1712497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1712574Z x = self.forward_features(x) 2025-09-07T09:02:01.1712796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1712857Z x = self.blocks(x) 2025-09-07T09:02:01.1713073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1713134Z x = self.conv_pw(x) 2025-09-07T09:02:01.1713331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1713425Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1713628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1713734Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1713736Z 2025-09-07T09:02:01.1713813Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1713915Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1714011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1714211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1714296Z return mod(*inputs) 2025-09-07T09:02:01.1714492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1714565Z x = self.forward_features(x) 2025-09-07T09:02:01.1714780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1714841Z x = self.blocks(x) 2025-09-07T09:02:01.1715057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward 2025-09-07T09:02:01.1715120Z x = self.conv_pw(x) 2025-09-07T09:02:01.1715318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1715383Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1715387Z 2025-09-07T09:02:01.1715491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1715679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1715742Z return mod(*inputs) 2025-09-07T09:02:01.1715944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1716010Z x = self.forward_features(x) 2025-09-07T09:02:01.1716233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1716294Z x = self.blocks(x) 2025-09-07T09:02:01.1716504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1716578Z x = self.conv_dw(x) 2025-09-07T09:02:01.1716770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1716876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1717077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1717174Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1717177Z 2025-09-07T09:02:01.1717289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1717472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1717543Z return mod(*inputs) 2025-09-07T09:02:01.1717740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1717833Z x = self.forward_features(x) 2025-09-07T09:02:01.1718050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1718112Z x = self.blocks(x) 2025-09-07T09:02:01.1718330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1718392Z x = self.conv_dw(x) 2025-09-07T09:02:01.1718589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1718685Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1718884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1718993Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1718995Z 2025-09-07T09:02:01.1719092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1719282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1719363Z return mod(*inputs) 2025-09-07T09:02:01.1719572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1719647Z x = self.forward_features(x) 2025-09-07T09:02:01.1719879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1719948Z x = self.blocks(x) 2025-09-07T09:02:01.1720155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1720218Z x = self.conv_dw(x) 2025-09-07T09:02:01.1720418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1720513Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1720727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1720825Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1720827Z 2025-09-07T09:02:01.1720935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1721119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1721180Z return mod(*inputs) 2025-09-07T09:02:01.1721386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1721455Z x = self.forward_features(x) 2025-09-07T09:02:01.1721676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1721738Z x = self.blocks(x) 2025-09-07T09:02:01.1721947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1722019Z x = self.conv_dw(x) 2025-09-07T09:02:01.1722212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1722317Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1722518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1722624Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1722627Z 2025-09-07T09:02:01.1722722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1722905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1722977Z return mod(*inputs) 2025-09-07T09:02:01.1723175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1723263Z x = self.forward_features(x) 2025-09-07T09:02:01.1723481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1723546Z x = self.blocks(x) 2025-09-07T09:02:01.1723764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1723829Z x = self.conv_dw(x) 2025-09-07T09:02:01.1724026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1724125Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1724325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1724426Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1724429Z 2025-09-07T09:02:01.1724525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1724716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1724795Z return mod(*inputs) 2025-09-07T09:02:01.1724998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1725088Z x = self.forward_features(x) 2025-09-07T09:02:01.1725322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1725393Z x = self.blocks(x) 2025-09-07T09:02:01.1725605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1725672Z x = self.conv_dw(x) 2025-09-07T09:02:01.1725865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1725960Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1726173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1726271Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1726273Z 2025-09-07T09:02:01.1726379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1726565Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1726625Z return mod(*inputs) 2025-09-07T09:02:01.1726834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1726902Z x = self.forward_features(x) 2025-09-07T09:02:01.1727124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1727187Z x = self.blocks(x) 2025-09-07T09:02:01.1727408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1727469Z x = self.conv_dw(x) 2025-09-07T09:02:01.1727661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1727769Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1727969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1728075Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1728077Z 2025-09-07T09:02:01.1728175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1728360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1728429Z return mod(*inputs) 2025-09-07T09:02:01.1728626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1728719Z x = self.forward_features(x) 2025-09-07T09:02:01.1728939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1729004Z x = self.blocks(x) 2025-09-07T09:02:01.1729223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1729287Z x = self.conv_dw(x) 2025-09-07T09:02:01.1729485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1729582Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1729782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1729884Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1729887Z 2025-09-07T09:02:01.1729965Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1730053Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1730127Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1730208Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1730322Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1730518Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1730600Z return mod(*inputs) 2025-09-07T09:02:01.1730833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1730908Z x = self.forward_features(x) 2025-09-07T09:02:01.1731124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1731188Z x = self.blocks(x) 2025-09-07T09:02:01.1731415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1731481Z x = self.conv_dw(x) 2025-09-07T09:02:01.1731682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1731751Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1731754Z 2025-09-07T09:02:01.1731827Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1731933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1732121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1732197Z return mod(*inputs) 2025-09-07T09:02:01.1732398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1732466Z x = self.forward_features(x) 2025-09-07T09:02:01.1732696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1732758Z x = self.blocks(x) 2025-09-07T09:02:01.1732981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1733041Z x = self.se(x) 2025-09-07T09:02:01.1733253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1733338Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1733342Z 2025-09-07T09:02:01.1733440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1733640Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1733705Z return mod(*inputs) 2025-09-07T09:02:01.1733913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1733981Z x = self.forward_features(x) 2025-09-07T09:02:01.1734200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1734293Z x = self.blocks(x) 2025-09-07T09:02:01.1734500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1734567Z x = self.se(x) 2025-09-07T09:02:01.1734774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1734842Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1734845Z 2025-09-07T09:02:01.1734950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1735135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1735205Z return mod(*inputs) 2025-09-07T09:02:01.1735397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1735464Z x = self.forward_features(x) 2025-09-07T09:02:01.1735689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1735751Z x = self.blocks(x) 2025-09-07T09:02:01.1735965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1736045Z x = self.se(x) 2025-09-07T09:02:01.1736283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1736370Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1736374Z 2025-09-07T09:02:01.1736472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1736666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1736729Z return mod(*inputs) 2025-09-07T09:02:01.1736935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1737003Z x = self.forward_features(x) 2025-09-07T09:02:01.1737223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1737294Z x = self.blocks(x) 2025-09-07T09:02:01.1737508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1737575Z x = self.se(x) 2025-09-07T09:02:01.1737783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1737850Z return x * self.gate(x_se) 2025-09-07T09:02:01.1737853Z 2025-09-07T09:02:01.1737955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1738139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1738207Z return mod(*inputs) 2025-09-07T09:02:01.1738408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1738476Z x = self.forward_features(x) 2025-09-07T09:02:01.1738704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1738768Z x = self.blocks(x) 2025-09-07T09:02:01.1738988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1739049Z x = self.se(x) 2025-09-07T09:02:01.1739270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1739339Z return x * self.gate(x_se) 2025-09-07T09:02:01.1739342Z 2025-09-07T09:02:01.1739438Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1739632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1739693Z return mod(*inputs) 2025-09-07T09:02:01.1739914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1739984Z x = self.forward_features(x) 2025-09-07T09:02:01.1740202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1740273Z x = self.blocks(x) 2025-09-07T09:02:01.1740485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1740554Z x = self.se(x) 2025-09-07T09:02:01.1740766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1740834Z return x * self.gate(x_se) 2025-09-07T09:02:01.1740837Z 2025-09-07T09:02:01.1740942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1741127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1741200Z return mod(*inputs) 2025-09-07T09:02:01.1741401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1741467Z x = self.forward_features(x) 2025-09-07T09:02:01.1741711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1741805Z x = self.blocks(x) 2025-09-07T09:02:01.1742036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1742101Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1742301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1742401Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1742602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1742710Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1742713Z 2025-09-07T09:02:01.1742808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1743002Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1743065Z return mod(*inputs) 2025-09-07T09:02:01.1743261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1743337Z x = self.forward_features(x) 2025-09-07T09:02:01.1743554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1743623Z x = self.blocks(x) 2025-09-07T09:02:01.1743834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1743897Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1744098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1744196Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1744406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1744504Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1744508Z 2025-09-07T09:02:01.1744614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1744800Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1744862Z return mod(*inputs) 2025-09-07T09:02:01.1745066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1745135Z x = self.forward_features(x) 2025-09-07T09:02:01.1745360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1745434Z x = self.blocks(x) 2025-09-07T09:02:01.1745644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1745717Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1745909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1746013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1746213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1746309Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1746318Z 2025-09-07T09:02:01.1746414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1746596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1746670Z return mod(*inputs) 2025-09-07T09:02:01.1746867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1746940Z x = self.forward_features(x) 2025-09-07T09:02:01.1747190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1747267Z x = self.blocks(x) 2025-09-07T09:02:01.1747497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1747561Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1747765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1747865Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1748070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1748177Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1748181Z 2025-09-07T09:02:01.1748259Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1748341Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1748439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1748628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1748701Z return mod(*inputs) 2025-09-07T09:02:01.1748901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1748972Z x = self.forward_features(x) 2025-09-07T09:02:01.1749195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1749266Z x = self.blocks(x) 2025-09-07T09:02:01.1749481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1749545Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1749750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1749817Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1749820Z 2025-09-07T09:02:01.1749927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1750118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1750183Z return mod(*inputs) 2025-09-07T09:02:01.1750392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1750462Z x = self.forward_features(x) 2025-09-07T09:02:01.1750690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1750752Z x = self.blocks(x) 2025-09-07T09:02:01.1750983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1751065Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1751068Z 2025-09-07T09:02:01.1751167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1751359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1751421Z return mod(*inputs) 2025-09-07T09:02:01.1751616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1751690Z x = self.forward_features(x) 2025-09-07T09:02:01.1751906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1751973Z x = self.blocks(x) 2025-09-07T09:02:01.1752177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1752245Z x = self.bn1(x) 2025-09-07T09:02:01.1752431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1752494Z x = self.act(x) 2025-09-07T09:02:01.1752513Z 2025-09-07T09:02:01.1752618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1752819Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1752902Z return mod(*inputs) 2025-09-07T09:02:01.1753100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1753167Z x = self.forward_features(x) 2025-09-07T09:02:01.1753392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1753454Z x = self.blocks(x) 2025-09-07T09:02:01.1753676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1753738Z x = self.bn1(x) 2025-09-07T09:02:01.1753927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1753997Z x = self.act(x) 2025-09-07T09:02:01.1754000Z 2025-09-07T09:02:01.1754099Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1754292Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1754358Z return mod(*inputs) 2025-09-07T09:02:01.1754560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1754635Z x = self.forward_features(x) 2025-09-07T09:02:01.1754853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1754922Z x = self.blocks(x) 2025-09-07T09:02:01.1755130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1755201Z x = self.conv_dw(x) 2025-09-07T09:02:01.1755396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1755501Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1755717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1755820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1756024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1756085Z return conv2d_same( 2025-09-07T09:02:01.1756288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1756398Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1756603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1756751Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1756937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1757037Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1757049Z 2025-09-07T09:02:01.1757147Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1757337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1757408Z return mod(*inputs) 2025-09-07T09:02:01.1757605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1757679Z x = self.forward_features(x) 2025-09-07T09:02:01.1757899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1757963Z x = self.blocks(x) 2025-09-07T09:02:01.1758181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1758259Z x = self.conv_dw(x) 2025-09-07T09:02:01.1758476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1758592Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1758792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1758899Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1759091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1759162Z return conv2d_same( 2025-09-07T09:02:01.1759363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1759493Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1759504Z 2025-09-07T09:02:01.1759603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1759789Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1759861Z return mod(*inputs) 2025-09-07T09:02:01.1760054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1760127Z x = self.forward_features(x) 2025-09-07T09:02:01.1760343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1760403Z x = self.blocks(x) 2025-09-07T09:02:01.1760619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1760680Z x = self.conv_dw(x) 2025-09-07T09:02:01.1760878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1760977Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1761174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1761279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1761469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1761538Z return conv2d_same( 2025-09-07T09:02:01.1761736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1761859Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1761871Z 2025-09-07T09:02:01.1761968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1762167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1762239Z return mod(*inputs) 2025-09-07T09:02:01.1762438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1762515Z x = self.forward_features(x) 2025-09-07T09:02:01.1762733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1762795Z x = self.blocks(x) 2025-09-07T09:02:01.1763011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1763072Z x = self.conv_dw(x) 2025-09-07T09:02:01.1763269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1763367Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1763567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1763674Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1763896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1763983Z return conv2d_same( 2025-09-07T09:02:01.1764188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1764290Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1764489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1764627Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1764816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1764913Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1764916Z 2025-09-07T09:02:01.1765022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1765210Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1765275Z return mod(*inputs) 2025-09-07T09:02:01.1765487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1765553Z x = self.forward_features(x) 2025-09-07T09:02:01.1765786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1765847Z x = self.blocks(x) 2025-09-07T09:02:01.1766061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1766130Z x = self.conv_dw(x) 2025-09-07T09:02:01.1766323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1766431Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1766633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1766732Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1766935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1766998Z return conv2d_same( 2025-09-07T09:02:01.1767213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1767340Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1767343Z 2025-09-07T09:02:01.1767450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1767656Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1767721Z return mod(*inputs) 2025-09-07T09:02:01.1767923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1767992Z x = self.forward_features(x) 2025-09-07T09:02:01.1768218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1768280Z x = self.blocks(x) 2025-09-07T09:02:01.1768489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1768557Z x = self.conv_dw(x) 2025-09-07T09:02:01.1768748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1768854Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1769054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1769151Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1769365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1769441Z return conv2d_same( 2025-09-07T09:02:01.1769652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1769789Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1769792Z 2025-09-07T09:02:01.1769897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1770082Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1770144Z return mod(*inputs) 2025-09-07T09:02:01.1770351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1770422Z x = self.forward_features(x) 2025-09-07T09:02:01.1770651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1770713Z x = self.blocks(x) 2025-09-07T09:02:01.1770927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1770998Z x = self.conv_dw(x) 2025-09-07T09:02:01.1771191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1771293Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1771494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1771591Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1771794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1771854Z return conv2d_same( 2025-09-07T09:02:01.1772065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1772165Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1772363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1772498Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1772679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1772784Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1772787Z 2025-09-07T09:02:01.1772886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1773080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1773159Z return mod(*inputs) 2025-09-07T09:02:01.1773360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1773436Z x = self.forward_features(x) 2025-09-07T09:02:01.1773661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1773727Z x = self.blocks(x) 2025-09-07T09:02:01.1773942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1774004Z x = self.conv_dw(x) 2025-09-07T09:02:01.1774206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1774305Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1774518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1774619Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1774818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1774896Z return conv2d_same( 2025-09-07T09:02:01.1775110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1775253Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1775257Z 2025-09-07T09:02:01.1775354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1775544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1775608Z return mod(*inputs) 2025-09-07T09:02:01.1775803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1775878Z x = self.forward_features(x) 2025-09-07T09:02:01.1776095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1776165Z x = self.blocks(x) 2025-09-07T09:02:01.1776379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1776444Z x = self.conv_dw(x) 2025-09-07T09:02:01.1776643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1776742Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1776953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1777049Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1777245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1777310Z return conv2d_same( 2025-09-07T09:02:01.1777509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1777639Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1777642Z 2025-09-07T09:02:01.1777741Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1777937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1777999Z return mod(*inputs) 2025-09-07T09:02:01.1778193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1778268Z x = self.forward_features(x) 2025-09-07T09:02:01.1778488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1778557Z x = self.blocks(x) 2025-09-07T09:02:01.1778779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1778845Z x = self.conv_dw(x) 2025-09-07T09:02:01.1779046Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1779148Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1779360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1779456Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1779654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1779719Z return conv2d_same( 2025-09-07T09:02:01.1779919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same 2025-09-07T09:02:01.1780026Z x = pad_same(x, weight.shape[-2:], stride, dilation) 2025-09-07T09:02:01.1780214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/padding.py", line 63, in pad_same 2025-09-07T09:02:01.1780371Z x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value) 2025-09-07T09:02:01.1780569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T09:02:01.1780679Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T09:02:01.1780682Z 2025-09-07T09:02:01.1780790Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1780972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1781043Z return mod(*inputs) 2025-09-07T09:02:01.1781240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1781314Z x = self.forward_features(x) 2025-09-07T09:02:01.1781534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1781596Z x = self.blocks(x) 2025-09-07T09:02:01.1781815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1781881Z x = self.conv_dw(x) 2025-09-07T09:02:01.1782080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1782181Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1782379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1782486Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1782673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1782742Z return conv2d_same( 2025-09-07T09:02:01.1782938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1783056Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1783061Z 2025-09-07T09:02:01.1783167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1783352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1783424Z return mod(*inputs) 2025-09-07T09:02:01.1783620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1783695Z x = self.forward_features(x) 2025-09-07T09:02:01.1783915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1783976Z x = self.blocks(x) 2025-09-07T09:02:01.1784208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1784272Z x = self.conv_dw(x) 2025-09-07T09:02:01.1784469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1784569Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1784770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1784876Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1785067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 51, in forward 2025-09-07T09:02:01.1785138Z return conv2d_same( 2025-09-07T09:02:01.1785339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same 2025-09-07T09:02:01.1785459Z return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups) 2025-09-07T09:02:01.1785462Z 2025-09-07T09:02:01.1785552Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1785630Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1785726Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1785799Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1785910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1786104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1786190Z return mod(*inputs) 2025-09-07T09:02:01.1786396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1786463Z x = self.forward_features(x) 2025-09-07T09:02:01.1786681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1786751Z x = self.blocks(x) 2025-09-07T09:02:01.1786964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1787032Z x = self.conv_dw(x) 2025-09-07T09:02:01.1787223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1787297Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1787300Z 2025-09-07T09:02:01.1787376Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1787478Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1787666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1787728Z return mod(*inputs) 2025-09-07T09:02:01.1787930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1787997Z x = self.forward_features(x) 2025-09-07T09:02:01.1788212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1788285Z x = self.blocks(x) 2025-09-07T09:02:01.1788494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1788561Z x = self.se(x) 2025-09-07T09:02:01.1788773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1788850Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1788853Z 2025-09-07T09:02:01.1788957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1789142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1789213Z return mod(*inputs) 2025-09-07T09:02:01.1789409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1789476Z x = self.forward_features(x) 2025-09-07T09:02:01.1789717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1789778Z x = self.blocks(x) 2025-09-07T09:02:01.1789993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1790055Z x = self.se(x) 2025-09-07T09:02:01.1790273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1790340Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1790342Z 2025-09-07T09:02:01.1790439Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1790633Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1790695Z return mod(*inputs) 2025-09-07T09:02:01.1790899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1790967Z x = self.forward_features(x) 2025-09-07T09:02:01.1791185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1791269Z x = self.blocks(x) 2025-09-07T09:02:01.1791477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1791559Z x = self.se(x) 2025-09-07T09:02:01.1791779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1791846Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1791849Z 2025-09-07T09:02:01.1791954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1792135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1792206Z return mod(*inputs) 2025-09-07T09:02:01.1792403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1792474Z x = self.forward_features(x) 2025-09-07T09:02:01.1792698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1792761Z x = self.blocks(x) 2025-09-07T09:02:01.1792981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1793042Z x = self.se(x) 2025-09-07T09:02:01.1793255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1793322Z return x * self.gate(x_se) 2025-09-07T09:02:01.1793325Z 2025-09-07T09:02:01.1793422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1793612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1793675Z return mod(*inputs) 2025-09-07T09:02:01.1793880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1793948Z x = self.forward_features(x) 2025-09-07T09:02:01.1794163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1794237Z x = self.blocks(x) 2025-09-07T09:02:01.1794449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1794517Z x = self.se(x) 2025-09-07T09:02:01.1794721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1794789Z return x * self.gate(x_se) 2025-09-07T09:02:01.1794792Z 2025-09-07T09:02:01.1794898Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1795080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1795149Z return mod(*inputs) 2025-09-07T09:02:01.1795360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1795437Z x = self.forward_features(x) 2025-09-07T09:02:01.1795655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1795715Z x = self.blocks(x) 2025-09-07T09:02:01.1795933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1795991Z x = self.se(x) 2025-09-07T09:02:01.1796210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1796276Z return x * self.gate(x_se) 2025-09-07T09:02:01.1796279Z 2025-09-07T09:02:01.1796377Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1796573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1796637Z return mod(*inputs) 2025-09-07T09:02:01.1796842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1796928Z x = self.forward_features(x) 2025-09-07T09:02:01.1797165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1797252Z x = self.blocks(x) 2025-09-07T09:02:01.1797461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1797532Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1797535Z 2025-09-07T09:02:01.1797633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1797814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1797885Z return mod(*inputs) 2025-09-07T09:02:01.1798081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1798156Z x = self.forward_features(x) 2025-09-07T09:02:01.1798373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1798441Z x = self.blocks(x) 2025-09-07T09:02:01.1798650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1798714Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1798717Z 2025-09-07T09:02:01.1798821Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1799003Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1799074Z return mod(*inputs) 2025-09-07T09:02:01.1799269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1799336Z x = self.forward_features(x) 2025-09-07T09:02:01.1799560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1799622Z x = self.blocks(x) 2025-09-07T09:02:01.1799841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1799900Z x = self.bn1(x) 2025-09-07T09:02:01.1800088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1800155Z x = self.act(x) 2025-09-07T09:02:01.1800158Z 2025-09-07T09:02:01.1800254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1800442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1800502Z return mod(*inputs) 2025-09-07T09:02:01.1800696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1800788Z x = self.forward_features(x) 2025-09-07T09:02:01.1801006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1801074Z x = self.blocks(x) 2025-09-07T09:02:01.1801284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1801351Z x = self.bn1(x) 2025-09-07T09:02:01.1801534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1801594Z x = self.act(x) 2025-09-07T09:02:01.1801597Z 2025-09-07T09:02:01.1801702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1801885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1801954Z return mod(*inputs) 2025-09-07T09:02:01.1802159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1802226Z x = self.forward_features(x) 2025-09-07T09:02:01.1802450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1802535Z x = self.blocks(x) 2025-09-07T09:02:01.1802767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1802844Z x = self.conv_dw(x) 2025-09-07T09:02:01.1803041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1803154Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1803359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1803466Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1803469Z 2025-09-07T09:02:01.1803568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1803765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1803830Z return mod(*inputs) 2025-09-07T09:02:01.1804032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1804111Z x = self.forward_features(x) 2025-09-07T09:02:01.1804333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1804406Z x = self.blocks(x) 2025-09-07T09:02:01.1804621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1804685Z x = self.conv_dw(x) 2025-09-07T09:02:01.1804889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1804988Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1805203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1805304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1805307Z 2025-09-07T09:02:01.1805407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1805603Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1805665Z return mod(*inputs) 2025-09-07T09:02:01.1805877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1805945Z x = self.forward_features(x) 2025-09-07T09:02:01.1806176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1806236Z x = self.blocks(x) 2025-09-07T09:02:01.1806464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1806537Z x = self.conv_dw(x) 2025-09-07T09:02:01.1806729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1806837Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1807041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1807137Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1807140Z 2025-09-07T09:02:01.1807245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1807436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1807508Z return mod(*inputs) 2025-09-07T09:02:01.1807706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1807774Z x = self.forward_features(x) 2025-09-07T09:02:01.1808004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1808080Z x = self.blocks(x) 2025-09-07T09:02:01.1808324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1808696Z x = self.conv_dw(x) 2025-09-07T09:02:01.1808889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1808996Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1809199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1809304Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1809307Z 2025-09-07T09:02:01.1809409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1809602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1809668Z return mod(*inputs) 2025-09-07T09:02:01.1809867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1809946Z x = self.forward_features(x) 2025-09-07T09:02:01.1810166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1810236Z x = self.blocks(x) 2025-09-07T09:02:01.1810446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1810509Z x = self.conv_dw(x) 2025-09-07T09:02:01.1810711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1810810Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1811017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1811120Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1811123Z 2025-09-07T09:02:01.1811231Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1811418Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1811480Z return mod(*inputs) 2025-09-07T09:02:01.1811685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1811754Z x = self.forward_features(x) 2025-09-07T09:02:01.1811976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1812035Z x = self.blocks(x) 2025-09-07T09:02:01.1812260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1812332Z x = self.conv_dw(x) 2025-09-07T09:02:01.1812522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1812627Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1812832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1812927Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1812937Z 2025-09-07T09:02:01.1813036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1813218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1813289Z return mod(*inputs) 2025-09-07T09:02:01.1813486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1813562Z x = self.forward_features(x) 2025-09-07T09:02:01.1813782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1813862Z x = self.blocks(x) 2025-09-07T09:02:01.1814094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1814170Z x = self.conv_dw(x) 2025-09-07T09:02:01.1814373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1814471Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1814674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1814779Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1814782Z 2025-09-07T09:02:01.1814882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1815077Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1815142Z return mod(*inputs) 2025-09-07T09:02:01.1815340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1815417Z x = self.forward_features(x) 2025-09-07T09:02:01.1815637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1815704Z x = self.blocks(x) 2025-09-07T09:02:01.1815915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1815984Z x = self.conv_dw(x) 2025-09-07T09:02:01.1816177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1816279Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1816496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1816598Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1816600Z 2025-09-07T09:02:01.1816690Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1816769Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1816847Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1816931Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1817029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1817223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1817287Z return mod(*inputs) 2025-09-07T09:02:01.1817493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1817567Z x = self.forward_features(x) 2025-09-07T09:02:01.1817803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1817871Z x = self.blocks(x) 2025-09-07T09:02:01.1818080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1818146Z x = self.conv_dw(x) 2025-09-07T09:02:01.1818345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1818410Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1818413Z 2025-09-07T09:02:01.1818497Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1818594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1818777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1818847Z return mod(*inputs) 2025-09-07T09:02:01.1819042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1819117Z x = self.forward_features(x) 2025-09-07T09:02:01.1819335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1819418Z x = self.blocks(x) 2025-09-07T09:02:01.1819647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1819721Z x = self.se(x) 2025-09-07T09:02:01.1819940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1820015Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1820018Z 2025-09-07T09:02:01.1820119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1820309Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1820371Z return mod(*inputs) 2025-09-07T09:02:01.1820577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1820647Z x = self.forward_features(x) 2025-09-07T09:02:01.1820873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1820935Z x = self.blocks(x) 2025-09-07T09:02:01.1821152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1821219Z x = self.se(x) 2025-09-07T09:02:01.1821428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1821504Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1821508Z 2025-09-07T09:02:01.1821603Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1821788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1821859Z return mod(*inputs) 2025-09-07T09:02:01.1822055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1822128Z x = self.forward_features(x) 2025-09-07T09:02:01.1822348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1822414Z x = self.blocks(x) 2025-09-07T09:02:01.1822623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1822680Z x = self.se(x) 2025-09-07T09:02:01.1822898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1822962Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1822965Z 2025-09-07T09:02:01.1823069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1823267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1823331Z return mod(*inputs) 2025-09-07T09:02:01.1823536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1823603Z x = self.forward_features(x) 2025-09-07T09:02:01.1823828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1823890Z x = self.blocks(x) 2025-09-07T09:02:01.1824101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1824165Z x = self.se(x) 2025-09-07T09:02:01.1824373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1824446Z return x * self.gate(x_se) 2025-09-07T09:02:01.1824449Z 2025-09-07T09:02:01.1824544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1824737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1824815Z return mod(*inputs) 2025-09-07T09:02:01.1825029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1825106Z x = self.forward_features(x) 2025-09-07T09:02:01.1825336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1825406Z x = self.blocks(x) 2025-09-07T09:02:01.1825614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1825673Z x = self.se(x) 2025-09-07T09:02:01.1825887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1825953Z return x * self.gate(x_se) 2025-09-07T09:02:01.1825956Z 2025-09-07T09:02:01.1826059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1826243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1826309Z return mod(*inputs) 2025-09-07T09:02:01.1826512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1826581Z x = self.forward_features(x) 2025-09-07T09:02:01.1826803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1826862Z x = self.blocks(x) 2025-09-07T09:02:01.1827069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1827135Z x = self.se(x) 2025-09-07T09:02:01.1827337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1827411Z return x * self.gate(x_se) 2025-09-07T09:02:01.1827414Z 2025-09-07T09:02:01.1827490Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1827596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1827780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1827845Z return mod(*inputs) 2025-09-07T09:02:01.1828047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1828115Z x = self.forward_features(x) 2025-09-07T09:02:01.1828341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1828402Z x = self.blocks(x) 2025-09-07T09:02:01.1828607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1828681Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1828886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1828994Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1829199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1829299Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1829302Z 2025-09-07T09:02:01.1829409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1829592Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1829663Z return mod(*inputs) 2025-09-07T09:02:01.1829860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1829927Z x = self.forward_features(x) 2025-09-07T09:02:01.1830156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1830217Z x = self.blocks(x) 2025-09-07T09:02:01.1830435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1830547Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1830764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1830911Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1831112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1831221Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1831224Z 2025-09-07T09:02:01.1831300Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1831407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1831593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1831656Z return mod(*inputs) 2025-09-07T09:02:01.1831863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1831931Z x = self.forward_features(x) 2025-09-07T09:02:01.1832159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1832222Z x = self.blocks(x) 2025-09-07T09:02:01.1832434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1832508Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1832698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1832806Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1833011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1833115Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1833120Z 2025-09-07T09:02:01.1833217Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1833401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1833479Z return mod(*inputs) 2025-09-07T09:02:01.1833681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1833757Z x = self.forward_features(x) 2025-09-07T09:02:01.1833977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1834040Z x = self.blocks(x) 2025-09-07T09:02:01.1834258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1834347Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1834546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1834646Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1834845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1847197Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1847209Z 2025-09-07T09:02:01.1847345Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1847434Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1847559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1847766Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1847836Z return mod(*inputs) 2025-09-07T09:02:01.1848083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1848160Z x = self.forward_features(x) 2025-09-07T09:02:01.1848404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1848556Z x = self.blocks(x) 2025-09-07T09:02:01.1848820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1848936Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1849135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1849211Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1849215Z 2025-09-07T09:02:01.1849318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1849509Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1849583Z return mod(*inputs) 2025-09-07T09:02:01.1849788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1849866Z x = self.forward_features(x) 2025-09-07T09:02:01.1850092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1850157Z x = self.blocks(x) 2025-09-07T09:02:01.1850385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1850458Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1850462Z 2025-09-07T09:02:01.1850571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1850762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1850839Z return mod(*inputs) 2025-09-07T09:02:01.1851040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1851111Z x = self.forward_features(x) 2025-09-07T09:02:01.1851342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1851408Z x = self.blocks(x) 2025-09-07T09:02:01.1851626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1851690Z x = self.bn1(x) 2025-09-07T09:02:01.1851883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1851953Z x = self.act(x) 2025-09-07T09:02:01.1851957Z 2025-09-07T09:02:01.1852058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1852256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1852321Z return mod(*inputs) 2025-09-07T09:02:01.1852538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1852618Z x = self.forward_features(x) 2025-09-07T09:02:01.1852840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1852914Z x = self.blocks(x) 2025-09-07T09:02:01.1853128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1853189Z x = self.bn1(x) 2025-09-07T09:02:01.1853386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1853444Z x = self.act(x) 2025-09-07T09:02:01.1853448Z 2025-09-07T09:02:01.1853552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1853739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1853811Z return mod(*inputs) 2025-09-07T09:02:01.1854009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1854076Z x = self.forward_features(x) 2025-09-07T09:02:01.1854315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1854391Z x = self.blocks(x) 2025-09-07T09:02:01.1854622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1854685Z x = self.conv_dw(x) 2025-09-07T09:02:01.1854879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1854997Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1855202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1855311Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1855315Z 2025-09-07T09:02:01.1855412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1855599Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1855673Z return mod(*inputs) 2025-09-07T09:02:01.1855870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1855946Z x = self.forward_features(x) 2025-09-07T09:02:01.1856163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1856234Z x = self.blocks(x) 2025-09-07T09:02:01.1856444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1856508Z x = self.conv_dw(x) 2025-09-07T09:02:01.1856705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1856809Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1857018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1857119Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1857123Z 2025-09-07T09:02:01.1857223Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1857419Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1857484Z return mod(*inputs) 2025-09-07T09:02:01.1857688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1857757Z x = self.forward_features(x) 2025-09-07T09:02:01.1857975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1858045Z x = self.blocks(x) 2025-09-07T09:02:01.1858270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1858344Z x = self.conv_dw(x) 2025-09-07T09:02:01.1858540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1858647Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1858851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1858950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1858953Z 2025-09-07T09:02:01.1859060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1859246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1859318Z return mod(*inputs) 2025-09-07T09:02:01.1859518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1859586Z x = self.forward_features(x) 2025-09-07T09:02:01.1859831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1859908Z x = self.blocks(x) 2025-09-07T09:02:01.1860128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1860208Z x = self.conv_dw(x) 2025-09-07T09:02:01.1860399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1860510Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1860711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1860815Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1860818Z 2025-09-07T09:02:01.1860919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1861109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1861177Z return mod(*inputs) 2025-09-07T09:02:01.1861381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1861460Z x = self.forward_features(x) 2025-09-07T09:02:01.1861677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1861746Z x = self.blocks(x) 2025-09-07T09:02:01.1861954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1862017Z x = self.conv_dw(x) 2025-09-07T09:02:01.1862221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1862318Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1862526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1862626Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1862630Z 2025-09-07T09:02:01.1862730Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1862922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1862985Z return mod(*inputs) 2025-09-07T09:02:01.1863192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1863260Z x = self.forward_features(x) 2025-09-07T09:02:01.1863487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1863548Z x = self.blocks(x) 2025-09-07T09:02:01.1863784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1863862Z x = self.conv_dw(x) 2025-09-07T09:02:01.1864057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1864167Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1864376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1864473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1864476Z 2025-09-07T09:02:01.1864583Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1864769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1864843Z return mod(*inputs) 2025-09-07T09:02:01.1865044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1865114Z x = self.forward_features(x) 2025-09-07T09:02:01.1865347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1865546Z x = self.blocks(x) 2025-09-07T09:02:01.1865785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1865861Z x = self.conv_dw(x) 2025-09-07T09:02:01.1866064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1866162Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1866365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1866473Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1866476Z 2025-09-07T09:02:01.1866576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1866771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1866838Z return mod(*inputs) 2025-09-07T09:02:01.1867038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1867117Z x = self.forward_features(x) 2025-09-07T09:02:01.1867334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1867406Z x = self.blocks(x) 2025-09-07T09:02:01.1867616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1867680Z x = self.conv_dw(x) 2025-09-07T09:02:01.1867882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1867980Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1868187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1868286Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1868289Z 2025-09-07T09:02:01.1868378Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1868459Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1868536Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1868619Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1868712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1868899Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1868959Z return mod(*inputs) 2025-09-07T09:02:01.1869154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1869243Z x = self.forward_features(x) 2025-09-07T09:02:01.1869458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1869530Z x = self.blocks(x) 2025-09-07T09:02:01.1869742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1869806Z x = self.conv_dw(x) 2025-09-07T09:02:01.1870005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1870070Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1870073Z 2025-09-07T09:02:01.1870158Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1870256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1870439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1870511Z return mod(*inputs) 2025-09-07T09:02:01.1870707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1870782Z x = self.forward_features(x) 2025-09-07T09:02:01.1871013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1871088Z x = self.blocks(x) 2025-09-07T09:02:01.1871321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1871381Z x = self.se(x) 2025-09-07T09:02:01.1871601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1871678Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1871682Z 2025-09-07T09:02:01.1871786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1871971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1872035Z return mod(*inputs) 2025-09-07T09:02:01.1872243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1872313Z x = self.forward_features(x) 2025-09-07T09:02:01.1872537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1872600Z x = self.blocks(x) 2025-09-07T09:02:01.1872810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1872880Z x = self.se(x) 2025-09-07T09:02:01.1873088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1873162Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1873165Z 2025-09-07T09:02:01.1873263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1873450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1873521Z return mod(*inputs) 2025-09-07T09:02:01.1873719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1873797Z x = self.forward_features(x) 2025-09-07T09:02:01.1874019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1874082Z x = self.blocks(x) 2025-09-07T09:02:01.1874300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1874363Z x = self.se(x) 2025-09-07T09:02:01.1874579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1874644Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1874647Z 2025-09-07T09:02:01.1874750Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1874948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1875014Z return mod(*inputs) 2025-09-07T09:02:01.1875218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1875288Z x = self.forward_features(x) 2025-09-07T09:02:01.1875516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1875577Z x = self.blocks(x) 2025-09-07T09:02:01.1875788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1875858Z x = self.se(x) 2025-09-07T09:02:01.1876066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1876144Z return x * self.gate(x_se) 2025-09-07T09:02:01.1876147Z 2025-09-07T09:02:01.1876248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1876430Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1876519Z return mod(*inputs) 2025-09-07T09:02:01.1876735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1876824Z x = self.forward_features(x) 2025-09-07T09:02:01.1877050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1877111Z x = self.blocks(x) 2025-09-07T09:02:01.1877336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1877395Z x = self.se(x) 2025-09-07T09:02:01.1877612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1877684Z return x * self.gate(x_se) 2025-09-07T09:02:01.1877687Z 2025-09-07T09:02:01.1877795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1877984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1878050Z return mod(*inputs) 2025-09-07T09:02:01.1878257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1878328Z x = self.forward_features(x) 2025-09-07T09:02:01.1878557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1878618Z x = self.blocks(x) 2025-09-07T09:02:01.1878829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1878897Z x = self.se(x) 2025-09-07T09:02:01.1879110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1879183Z return x * self.gate(x_se) 2025-09-07T09:02:01.1879186Z 2025-09-07T09:02:01.1879286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1879474Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1879544Z return mod(*inputs) 2025-09-07T09:02:01.1879744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1879818Z x = self.forward_features(x) 2025-09-07T09:02:01.1880039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1880105Z x = self.blocks(x) 2025-09-07T09:02:01.1880318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1880385Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1880600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1880704Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1880914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1881013Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1881018Z 2025-09-07T09:02:01.1881114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1881308Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1881370Z return mod(*inputs) 2025-09-07T09:02:01.1881571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1881638Z x = self.forward_features(x) 2025-09-07T09:02:01.1881857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1881926Z x = self.blocks(x) 2025-09-07T09:02:01.1882135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1882226Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1882453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1882576Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1882786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1882883Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1882886Z 2025-09-07T09:02:01.1882994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1883177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1883247Z return mod(*inputs) 2025-09-07T09:02:01.1883451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1883521Z x = self.forward_features(x) 2025-09-07T09:02:01.1883741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1883812Z x = self.blocks(x) 2025-09-07T09:02:01.1884018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1884090Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1884280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1884379Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1884589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1884687Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1884690Z 2025-09-07T09:02:01.1884797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1884982Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1885057Z return mod(*inputs) 2025-09-07T09:02:01.1885255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1885322Z x = self.forward_features(x) 2025-09-07T09:02:01.1885548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1885608Z x = self.blocks(x) 2025-09-07T09:02:01.1885824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1885887Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1886093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1886200Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1886400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1886503Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1886508Z 2025-09-07T09:02:01.1886585Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1886662Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1886767Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1886950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1887022Z return mod(*inputs) 2025-09-07T09:02:01.1887221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1887289Z x = self.forward_features(x) 2025-09-07T09:02:01.1887516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1887594Z x = self.blocks(x) 2025-09-07T09:02:01.1887827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1887907Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1888106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1888172Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1888175Z 2025-09-07T09:02:01.1888273Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1888464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1888527Z return mod(*inputs) 2025-09-07T09:02:01.1888730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1888798Z x = self.forward_features(x) 2025-09-07T09:02:01.1889012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1889085Z x = self.blocks(x) 2025-09-07T09:02:01.1889297Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1889377Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1889381Z 2025-09-07T09:02:01.1889477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1889662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1889733Z return mod(*inputs) 2025-09-07T09:02:01.1889925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1889996Z x = self.forward_features(x) 2025-09-07T09:02:01.1890212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1890284Z x = self.blocks(x) 2025-09-07T09:02:01.1890491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1890551Z x = self.bn1(x) 2025-09-07T09:02:01.1890746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1890809Z x = self.act(x) 2025-09-07T09:02:01.1890812Z 2025-09-07T09:02:01.1890913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1891096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1891159Z return mod(*inputs) 2025-09-07T09:02:01.1891362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1891444Z x = self.forward_features(x) 2025-09-07T09:02:01.1891667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1891727Z x = self.blocks(x) 2025-09-07T09:02:01.1891937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward 2025-09-07T09:02:01.1892007Z x = self.bn1(x) 2025-09-07T09:02:01.1892190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1892255Z x = self.act(x) 2025-09-07T09:02:01.1892258Z 2025-09-07T09:02:01.1892352Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1892533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1892599Z return mod(*inputs) 2025-09-07T09:02:01.1892791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1892865Z x = self.forward_features(x) 2025-09-07T09:02:01.1893078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1893163Z x = self.blocks(x) 2025-09-07T09:02:01.1893392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1893467Z x = self.conv_dw(x) 2025-09-07T09:02:01.1893666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1893766Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1893976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1894074Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1894077Z 2025-09-07T09:02:01.1894174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1894364Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1894430Z return mod(*inputs) 2025-09-07T09:02:01.1894638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1894707Z x = self.forward_features(x) 2025-09-07T09:02:01.1894927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1894995Z x = self.blocks(x) 2025-09-07T09:02:01.1895205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1895273Z x = self.conv_dw(x) 2025-09-07T09:02:01.1895466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1895566Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1895776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1895874Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1895877Z 2025-09-07T09:02:01.1895982Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1896168Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1896239Z return mod(*inputs) 2025-09-07T09:02:01.1896438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1896503Z x = self.forward_features(x) 2025-09-07T09:02:01.1896731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1896792Z x = self.blocks(x) 2025-09-07T09:02:01.1897025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1897087Z x = self.conv_dw(x) 2025-09-07T09:02:01.1897284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1897392Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1897595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1897699Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1897702Z 2025-09-07T09:02:01.1897799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1897990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1898052Z return mod(*inputs) 2025-09-07T09:02:01.1898249Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1898327Z x = self.forward_features(x) 2025-09-07T09:02:01.1898542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1898624Z x = self.blocks(x) 2025-09-07T09:02:01.1898850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1898931Z x = self.conv_dw(x) 2025-09-07T09:02:01.1899132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1899226Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1899433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1899527Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1899530Z 2025-09-07T09:02:01.1899626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1899822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1899887Z return mod(*inputs) 2025-09-07T09:02:01.1900090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1900159Z x = self.forward_features(x) 2025-09-07T09:02:01.1900386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1900446Z x = self.blocks(x) 2025-09-07T09:02:01.1900657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1900727Z x = self.conv_dw(x) 2025-09-07T09:02:01.1900917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1901021Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1901220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1901319Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1901322Z 2025-09-07T09:02:01.1901428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1901614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1901683Z return mod(*inputs) 2025-09-07T09:02:01.1901883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1901952Z x = self.forward_features(x) 2025-09-07T09:02:01.1902173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1902234Z x = self.blocks(x) 2025-09-07T09:02:01.1902469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1902531Z x = self.conv_dw(x) 2025-09-07T09:02:01.1902725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1902831Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1903031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1903133Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1903137Z 2025-09-07T09:02:01.1903234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1903422Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1903483Z return mod(*inputs) 2025-09-07T09:02:01.1903679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1903755Z x = self.forward_features(x) 2025-09-07T09:02:01.1903970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1904054Z x = self.blocks(x) 2025-09-07T09:02:01.1904293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1904377Z x = self.conv_dw(x) 2025-09-07T09:02:01.1904573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1904668Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1904872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1904968Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1904970Z 2025-09-07T09:02:01.1905072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1905256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1905320Z return mod(*inputs) 2025-09-07T09:02:01.1905522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1905590Z x = self.forward_features(x) 2025-09-07T09:02:01.1905817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1905879Z x = self.blocks(x) 2025-09-07T09:02:01.1906089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1906155Z x = self.conv_dw(x) 2025-09-07T09:02:01.1906346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1906450Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1906651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1906746Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1906755Z 2025-09-07T09:02:01.1906834Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1906911Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1906996Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1907068Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1907164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1907355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1907416Z return mod(*inputs) 2025-09-07T09:02:01.1907617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1907685Z x = self.forward_features(x) 2025-09-07T09:02:01.1907915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1907986Z x = self.blocks(x) 2025-09-07T09:02:01.1908196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward 2025-09-07T09:02:01.1908266Z x = self.conv_dw(x) 2025-09-07T09:02:01.1908458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1908530Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1908533Z 2025-09-07T09:02:01.1908607Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1908704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1908897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1908959Z return mod(*inputs) 2025-09-07T09:02:01.1909161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1909229Z x = self.forward_features(x) 2025-09-07T09:02:01.1909444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1909529Z x = self.blocks(x) 2025-09-07T09:02:01.1909756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1909837Z x = self.se(x) 2025-09-07T09:02:01.1910049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward 2025-09-07T09:02:01.1910124Z x_se = x.mean((2, 3), keepdim=True) 2025-09-07T09:02:01.1910127Z 2025-09-07T09:02:01.1910229Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1910417Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1910485Z return mod(*inputs) 2025-09-07T09:02:01.1910687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1910754Z x = self.forward_features(x) 2025-09-07T09:02:01.1910981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1911044Z x = self.blocks(x) 2025-09-07T09:02:01.1911263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1911321Z x = self.se(x) 2025-09-07T09:02:01.1911537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1911602Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1911605Z 2025-09-07T09:02:01.1911701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1911891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1911952Z return mod(*inputs) 2025-09-07T09:02:01.1912158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1912226Z x = self.forward_features(x) 2025-09-07T09:02:01.1912447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1912514Z x = self.blocks(x) 2025-09-07T09:02:01.1912723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1912786Z x = self.se(x) 2025-09-07T09:02:01.1912993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward 2025-09-07T09:02:01.1913058Z x_se = self.act1(x_se) 2025-09-07T09:02:01.1913061Z 2025-09-07T09:02:01.1913161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1913370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1913438Z return mod(*inputs) 2025-09-07T09:02:01.1913638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1913714Z x = self.forward_features(x) 2025-09-07T09:02:01.1913934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1913994Z x = self.blocks(x) 2025-09-07T09:02:01.1914212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1914269Z x = self.se(x) 2025-09-07T09:02:01.1914481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1914545Z return x * self.gate(x_se) 2025-09-07T09:02:01.1914548Z 2025-09-07T09:02:01.1914641Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1914832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1914907Z return mod(*inputs) 2025-09-07T09:02:01.1915110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1915189Z x = self.forward_features(x) 2025-09-07T09:02:01.1915420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1915484Z x = self.blocks(x) 2025-09-07T09:02:01.1915691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1915756Z x = self.se(x) 2025-09-07T09:02:01.1915961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1916027Z return x * self.gate(x_se) 2025-09-07T09:02:01.1916035Z 2025-09-07T09:02:01.1916131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1916312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1916382Z return mod(*inputs) 2025-09-07T09:02:01.1916577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1916652Z x = self.forward_features(x) 2025-09-07T09:02:01.1916870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1916926Z x = self.blocks(x) 2025-09-07T09:02:01.1917139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward 2025-09-07T09:02:01.1917197Z x = self.se(x) 2025-09-07T09:02:01.1917408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward 2025-09-07T09:02:01.1917473Z return x * self.gate(x_se) 2025-09-07T09:02:01.1917476Z 2025-09-07T09:02:01.1917571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1917759Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1917820Z return mod(*inputs) 2025-09-07T09:02:01.1918021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1918087Z x = self.forward_features(x) 2025-09-07T09:02:01.1918306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1918367Z x = self.blocks(x) 2025-09-07T09:02:01.1918575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1918640Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1918848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1918950Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1919156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1919255Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1919259Z 2025-09-07T09:02:01.1919361Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1919541Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1919608Z return mod(*inputs) 2025-09-07T09:02:01.1919807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1919874Z x = self.forward_features(x) 2025-09-07T09:02:01.1920098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1920166Z x = self.blocks(x) 2025-09-07T09:02:01.1920374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1920453Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1920665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1920778Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1920980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1921076Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1921079Z 2025-09-07T09:02:01.1921178Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1921359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1921420Z return mod(*inputs) 2025-09-07T09:02:01.1921620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1921684Z x = self.forward_features(x) 2025-09-07T09:02:01.1921907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1921968Z x = self.blocks(x) 2025-09-07T09:02:01.1922174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1922239Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1922426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1922525Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1922727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1922820Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1922828Z 2025-09-07T09:02:01.1922923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1923108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1923174Z return mod(*inputs) 2025-09-07T09:02:01.1923368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1923440Z x = self.forward_features(x) 2025-09-07T09:02:01.1923653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1923712Z x = self.blocks(x) 2025-09-07T09:02:01.1923920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1923980Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1924169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in forward 2025-09-07T09:02:01.1924280Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1924477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 49, in 2025-09-07T09:02:01.1924580Z x_out = [c(x_split[i]) for i, c in enumerate(self.values())] 2025-09-07T09:02:01.1924583Z 2025-09-07T09:02:01.1924659Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1924739Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1924831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1925010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1925077Z return mod(*inputs) 2025-09-07T09:02:01.1925268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1925338Z x = self.forward_features(x) 2025-09-07T09:02:01.1925552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1925610Z x = self.blocks(x) 2025-09-07T09:02:01.1925845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward 2025-09-07T09:02:01.1925924Z x = self.conv_pwl(x) 2025-09-07T09:02:01.1926127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/mixed_conv2d.py", line 50, in forward 2025-09-07T09:02:01.1926188Z x = torch.cat(x_out, 1) 2025-09-07T09:02:01.1926191Z 2025-09-07T09:02:01.1926288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1926467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1926528Z return mod(*inputs) 2025-09-07T09:02:01.1926722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1926784Z x = self.forward_features(x) 2025-09-07T09:02:01.1927003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 256, in forward_features 2025-09-07T09:02:01.1927065Z x = self.blocks(x) 2025-09-07T09:02:01.1927272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward 2025-09-07T09:02:01.1927347Z x = self.drop_path(x) + shortcut 2025-09-07T09:02:01.1927350Z 2025-09-07T09:02:01.1927444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1927632Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1927691Z return mod(*inputs) 2025-09-07T09:02:01.1927880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1927947Z x = self.forward_features(x) 2025-09-07T09:02:01.1928160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T09:02:01.1928223Z x = self.bn2(x) 2025-09-07T09:02:01.1928406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1928464Z x = self.act(x) 2025-09-07T09:02:01.1928472Z 2025-09-07T09:02:01.1928567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1928747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1928812Z return mod(*inputs) 2025-09-07T09:02:01.1929002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 268, in forward 2025-09-07T09:02:01.1929069Z x = self.forward_features(x) 2025-09-07T09:02:01.1929280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 258, in forward_features 2025-09-07T09:02:01.1929336Z x = self.bn2(x) 2025-09-07T09:02:01.1929566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/norm_act.py", line 127, in forward 2025-09-07T09:02:01.1929624Z x = self.act(x) 2025-09-07T09:02:01.1929629Z 2025-09-07T09:02:01.1929707Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1929801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:02:01.1929984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:02:01.1930049Z return mod(*inputs) 2025-09-07T09:02:01.1930244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 269, in forward 2025-09-07T09:02:01.1930315Z x = self.forward_head(x) 2025-09-07T09:02:01.1930519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/efficientnet.py", line 262, in forward_head 2025-09-07T09:02:01.1930582Z x = self.global_pool(x) 2025-09-07T09:02:01.1930857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward 2025-09-07T09:02:01.1930918Z x = self.pool(x) 2025-09-07T09:02:01.1930921Z 2025-09-07T09:02:01.1930999Z cudagraph partition due to non gpu ops 2025-09-07T09:02:01.1931102Z cudagraph partition due to non gpu ops 2025-09-07T09:02:43.9493364Z 2025-09-07T09:02:44.4603935Z running benchmark: 0% 0/30 [00:00 B,H,W,C 2025-09-07T09:15:27.8672902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8673200Z x = self.conv(x) 2025-09-07T09:15:27.8673319Z 2025-09-07T09:15:27.8673436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8674042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8674368Z return mod(*inputs) 2025-09-07T09:15:27.8674654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8674958Z x = self.forward_features(x) 2025-09-07T09:15:27.8675280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8675611Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8675932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8676248Z x = block(x) 2025-09-07T09:15:27.8676529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8676851Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8677170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T09:15:27.8677598Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T09:15:27.8677931Z 2025-09-07T09:15:27.8678033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8678374Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8678675Z return mod(*inputs) 2025-09-07T09:15:27.8678957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8679261Z x = self.forward_features(x) 2025-09-07T09:15:27.8679588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8679918Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8680221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8680534Z x = block(x) 2025-09-07T09:15:27.8680799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8681120Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8681429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T09:15:27.8681834Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T09:15:27.8682073Z 2025-09-07T09:15:27.8682171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8682575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8682878Z return mod(*inputs) 2025-09-07T09:15:27.8683194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8683550Z x = self.forward_features(x) 2025-09-07T09:15:27.8683876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8684202Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8684516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8684820Z x = block(x) 2025-09-07T09:15:27.8685085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8685404Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8685722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T09:15:27.8686132Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T09:15:27.8686371Z 2025-09-07T09:15:27.8686474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8686846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8687154Z return mod(*inputs) 2025-09-07T09:15:27.8687435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8687722Z x = self.forward_features(x) 2025-09-07T09:15:27.8688037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8688361Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8688672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8688972Z x = block(x) 2025-09-07T09:15:27.8689236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8689549Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8689868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 90, in forward 2025-09-07T09:15:27.8690267Z x = F.fold(x, output_size=(H, W), kernel_size=self.kernel_size, padding=self.padding, stride=self.stride) 2025-09-07T09:15:27.8690488Z 2025-09-07T09:15:27.8690566Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8690795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8691129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8691431Z return mod(*inputs) 2025-09-07T09:15:27.8691698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8692004Z x = self.forward_features(x) 2025-09-07T09:15:27.8692330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8692698Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8693037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8693322Z x = self.conv(x) 2025-09-07T09:15:27.8693425Z 2025-09-07T09:15:27.8693524Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8693858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8694168Z return mod(*inputs) 2025-09-07T09:15:27.8694449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8694741Z x = self.forward_features(x) 2025-09-07T09:15:27.8695060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8695458Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8695822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8697365Z x = self.conv(x) 2025-09-07T09:15:27.8697474Z 2025-09-07T09:15:27.8697572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8697911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8698221Z return mod(*inputs) 2025-09-07T09:15:27.8698512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8698807Z x = self.forward_features(x) 2025-09-07T09:15:27.8699130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8699498Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8699837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8700129Z x = self.conv(x) 2025-09-07T09:15:27.8700231Z 2025-09-07T09:15:27.8700328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8700716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8701022Z return mod(*inputs) 2025-09-07T09:15:27.8701300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8701592Z x = self.forward_features(x) 2025-09-07T09:15:27.8701905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8702269Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8702607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8702889Z x = self.conv(x) 2025-09-07T09:15:27.8702991Z 2025-09-07T09:15:27.8703091Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8703432Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8703740Z return mod(*inputs) 2025-09-07T09:15:27.8704016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8704307Z x = self.forward_features(x) 2025-09-07T09:15:27.8704623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8704982Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8705314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8705598Z x = self.conv(x) 2025-09-07T09:15:27.8705700Z 2025-09-07T09:15:27.8705796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8706133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8706437Z return mod(*inputs) 2025-09-07T09:15:27.8706712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8707004Z x = self.forward_features(x) 2025-09-07T09:15:27.8707325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8707687Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8708017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 367, in forward 2025-09-07T09:15:27.8708310Z x = self.conv(x) 2025-09-07T09:15:27.8708404Z 2025-09-07T09:15:27.8708502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8708872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8709179Z return mod(*inputs) 2025-09-07T09:15:27.8709470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8709781Z x = self.forward_features(x) 2025-09-07T09:15:27.8710100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8710468Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8710799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-09-07T09:15:27.8711105Z x = self.proj(x) # B, C, H, W 2025-09-07T09:15:27.8711225Z 2025-09-07T09:15:27.8711323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8711658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8711968Z return mod(*inputs) 2025-09-07T09:15:27.8712245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8712537Z x = self.forward_features(x) 2025-09-07T09:15:27.8712873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 792, in forward_features 2025-09-07T09:15:27.8713236Z x = self.patch_embed(x).permute(0, 2, 3, 1) # B,C,H,W-> B,H,W,C 2025-09-07T09:15:27.8713580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 368, in forward 2025-09-07T09:15:27.8713882Z x = self.proj(x) # B, C, H, W 2025-09-07T09:15:27.8714002Z 2025-09-07T09:15:27.8714100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8714439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8714745Z return mod(*inputs) 2025-09-07T09:15:27.8715027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8715324Z x = self.forward_features(x) 2025-09-07T09:15:27.8715646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8715976Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8716290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8716599Z x = block(x) 2025-09-07T09:15:27.8716857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8717174Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8717490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T09:15:27.8717834Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T09:15:27.8717998Z 2025-09-07T09:15:27.8718077Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8718290Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8718495Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8718697Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8718915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8719258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8719566Z return mod(*inputs) 2025-09-07T09:15:27.8719844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8720146Z x = self.forward_features(x) 2025-09-07T09:15:27.8720457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8720781Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8721093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8721426Z x = block(x) 2025-09-07T09:15:27.8721717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8722043Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8722376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8722757Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8722951Z 2025-09-07T09:15:27.8723057Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8723388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8723722Z return mod(*inputs) 2025-09-07T09:15:27.8724005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8724310Z x = self.forward_features(x) 2025-09-07T09:15:27.8724631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8724948Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8725258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8725584Z x = block(x) 2025-09-07T09:15:27.8725857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8726174Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8726496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8726873Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8727069Z 2025-09-07T09:15:27.8727153Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8727382Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8727715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8728028Z return mod(*inputs) 2025-09-07T09:15:27.8728311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8728617Z x = self.forward_features(x) 2025-09-07T09:15:27.8728934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8729262Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8729575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8729888Z x = block(x) 2025-09-07T09:15:27.8730154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8730465Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8730878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8731189Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8731314Z 2025-09-07T09:15:27.8731425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8731758Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8732070Z return mod(*inputs) 2025-09-07T09:15:27.8732345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8732643Z x = self.forward_features(x) 2025-09-07T09:15:27.8732964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8733287Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8733610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8733931Z x = block(x) 2025-09-07T09:15:27.8734250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8734594Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8734947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8735261Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8735393Z 2025-09-07T09:15:27.8735485Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8735703Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8735904Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8736112Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8736346Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8736695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8737000Z return mod(*inputs) 2025-09-07T09:15:27.8737287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8737595Z x = self.forward_features(x) 2025-09-07T09:15:27.8737928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8738255Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8738600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8738921Z x = block(x) 2025-09-07T09:15:27.8739193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8739521Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8739840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T09:15:27.8740193Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T09:15:27.8740363Z 2025-09-07T09:15:27.8740443Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8740651Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8740849Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8741055Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8741287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8741636Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8741945Z return mod(*inputs) 2025-09-07T09:15:27.8742229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8742539Z x = self.forward_features(x) 2025-09-07T09:15:27.8742865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8743196Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8743506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8743823Z x = block(x) 2025-09-07T09:15:27.8744094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8744423Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8744739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8745123Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8745325Z 2025-09-07T09:15:27.8745425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8745770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8746082Z return mod(*inputs) 2025-09-07T09:15:27.8746356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8746660Z x = self.forward_features(x) 2025-09-07T09:15:27.8747004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8747353Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8747670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8748007Z x = block(x) 2025-09-07T09:15:27.8748276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8748603Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8748928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8749294Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8749496Z 2025-09-07T09:15:27.8749574Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8749808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8750161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8750487Z return mod(*inputs) 2025-09-07T09:15:27.8750766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8751093Z x = self.forward_features(x) 2025-09-07T09:15:27.8751424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8751764Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8752078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8752398Z x = block(x) 2025-09-07T09:15:27.8752671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8753000Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8753317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8753635Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8753775Z 2025-09-07T09:15:27.8753876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8754224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8754541Z return mod(*inputs) 2025-09-07T09:15:27.8754815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8755124Z x = self.forward_features(x) 2025-09-07T09:15:27.8755451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8755786Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8756096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8756413Z x = block(x) 2025-09-07T09:15:27.8756687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8757011Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8757336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8757641Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8757776Z 2025-09-07T09:15:27.8757853Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8758059Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8758262Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8758455Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8758686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8759028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8759343Z return mod(*inputs) 2025-09-07T09:15:27.8759627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8759935Z x = self.forward_features(x) 2025-09-07T09:15:27.8760268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8760607Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8760921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8761220Z x = block(x) 2025-09-07T09:15:27.8761487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8761809Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8762127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T09:15:27.8762466Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T09:15:27.8762624Z 2025-09-07T09:15:27.8762703Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8762903Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8763103Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8763301Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8763517Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8763875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8764181Z return mod(*inputs) 2025-09-07T09:15:27.8764461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8764758Z x = self.forward_features(x) 2025-09-07T09:15:27.8765081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8765402Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8765709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8766018Z x = block(x) 2025-09-07T09:15:27.8766277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8766592Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8766904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8767273Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8767462Z 2025-09-07T09:15:27.8767559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8767895Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8768201Z return mod(*inputs) 2025-09-07T09:15:27.8768479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8768775Z x = self.forward_features(x) 2025-09-07T09:15:27.8769085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8769409Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8769716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8770021Z x = block(x) 2025-09-07T09:15:27.8770275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8770592Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8770903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8771266Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8771455Z 2025-09-07T09:15:27.8771538Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8771752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8772120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8772440Z return mod(*inputs) 2025-09-07T09:15:27.8772718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8773052Z x = self.forward_features(x) 2025-09-07T09:15:27.8773373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8773696Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8774006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8774314Z x = block(x) 2025-09-07T09:15:27.8774571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8774886Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8775202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8775509Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8775636Z 2025-09-07T09:15:27.8775735Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8776094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8776404Z return mod(*inputs) 2025-09-07T09:15:27.8776679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8776977Z x = self.forward_features(x) 2025-09-07T09:15:27.8777284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8777604Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8777913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8778222Z x = block(x) 2025-09-07T09:15:27.8778481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8778798Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8779118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8779421Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8779548Z 2025-09-07T09:15:27.8779631Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8779827Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8780025Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8780221Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8780445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8780774Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8781080Z return mod(*inputs) 2025-09-07T09:15:27.8781355Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8781656Z x = self.forward_features(x) 2025-09-07T09:15:27.8781974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8782297Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8782607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8782919Z x = block(x) 2025-09-07T09:15:27.8783179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8783487Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8783801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 81, in forward 2025-09-07T09:15:27.8784135Z attn = self.pool(x.permute(0, 3, 1, 2)).permute(0, 2, 3, 1) 2025-09-07T09:15:27.8784290Z 2025-09-07T09:15:27.8784389Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8784581Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8784783Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8784997Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8785236Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8785572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8785869Z return mod(*inputs) 2025-09-07T09:15:27.8786146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8786442Z x = self.forward_features(x) 2025-09-07T09:15:27.8786758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8787075Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8787385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8787694Z x = block(x) 2025-09-07T09:15:27.8787959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8788274Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8788600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8788972Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8789173Z 2025-09-07T09:15:27.8789272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8789612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8789911Z return mod(*inputs) 2025-09-07T09:15:27.8790190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8790490Z x = self.forward_features(x) 2025-09-07T09:15:27.8790814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8791140Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8791447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8791760Z x = block(x) 2025-09-07T09:15:27.8792028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8792349Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8792660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 89, in forward 2025-09-07T09:15:27.8793030Z x = (attn @ v).permute(0, 1, 4, 3, 2).reshape(B, C * self.kernel_size * self.kernel_size, h * w) 2025-09-07T09:15:27.8793227Z 2025-09-07T09:15:27.8793304Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8793532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8793873Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8794175Z return mod(*inputs) 2025-09-07T09:15:27.8794451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8794759Z x = self.forward_features(x) 2025-09-07T09:15:27.8795081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8795397Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8795707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8796016Z x = block(x) 2025-09-07T09:15:27.8796284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8796601Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8796910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8797683Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8797836Z 2025-09-07T09:15:27.8797936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8798299Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8798598Z return mod(*inputs) 2025-09-07T09:15:27.8798877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8799182Z x = self.forward_features(x) 2025-09-07T09:15:27.8799505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8799836Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8800140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8800448Z x = block(x) 2025-09-07T09:15:27.8800716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 135, in forward 2025-09-07T09:15:27.8801032Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8801340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 92, in forward 2025-09-07T09:15:27.8801659Z x = self.proj(x.permute(0, 2, 3, 1)) 2025-09-07T09:15:27.8801790Z 2025-09-07T09:15:27.8801866Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8802072Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8802272Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8802462Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8802682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8803020Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8803328Z return mod(*inputs) 2025-09-07T09:15:27.8803594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8803900Z x = self.forward_features(x) 2025-09-07T09:15:27.8804224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8804550Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8804852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8805164Z x = block(x) 2025-09-07T09:15:27.8805429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-09-07T09:15:27.8805732Z x = self.proj(x) # B, C, H, W 2025-09-07T09:15:27.8805852Z 2025-09-07T09:15:27.8805957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8806285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8806590Z return mod(*inputs) 2025-09-07T09:15:27.8806872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8807172Z x = self.forward_features(x) 2025-09-07T09:15:27.8807477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8807804Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8808112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8808420Z x = block(x) 2025-09-07T09:15:27.8808683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 382, in forward 2025-09-07T09:15:27.8808976Z x = self.proj(x) # B, C, H, W 2025-09-07T09:15:27.8809100Z 2025-09-07T09:15:27.8809176Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8809378Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8809577Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8809808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8810163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8810469Z return mod(*inputs) 2025-09-07T09:15:27.8810760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8811052Z x = self.forward_features(x) 2025-09-07T09:15:27.8811369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8811692Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8812003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8812314Z x = block(x) 2025-09-07T09:15:27.8812571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8812886Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8813205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8813513Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8813641Z 2025-09-07T09:15:27.8813714Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8813943Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8814258Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8814456Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8814655Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8814846Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8815042Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8815243Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8815439Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8815655Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8815998Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8816310Z return mod(*inputs) 2025-09-07T09:15:27.8816589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8816885Z x = self.forward_features(x) 2025-09-07T09:15:27.8817209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8817540Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8817854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8818167Z x = block(x) 2025-09-07T09:15:27.8818426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8818748Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8819069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8819380Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8819505Z 2025-09-07T09:15:27.8819579Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8819783Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8820011Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8820352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8820648Z return mod(*inputs) 2025-09-07T09:15:27.8820926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8821233Z x = self.forward_features(x) 2025-09-07T09:15:27.8821555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8821884Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8822187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8822513Z x = block(x) 2025-09-07T09:15:27.8822773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8823107Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8823260Z 2025-09-07T09:15:27.8823333Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8823540Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8823737Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8823934Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8824130Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8824317Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8824508Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8824728Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8825063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8825364Z return mod(*inputs) 2025-09-07T09:15:27.8825640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8825946Z x = self.forward_features(x) 2025-09-07T09:15:27.8826267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8826601Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8826910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8827216Z x = block(x) 2025-09-07T09:15:27.8827481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8827798Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8828109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8828415Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8828542Z 2025-09-07T09:15:27.8828627Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8828828Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8829022Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8829223Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8829428Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8829628Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8829820Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8830018Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8830216Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8830443Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8830828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8831136Z return mod(*inputs) 2025-09-07T09:15:27.8831413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8831719Z x = self.forward_features(x) 2025-09-07T09:15:27.8832045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8832367Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8832690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8833001Z x = block(x) 2025-09-07T09:15:27.8833273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8833585Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8833906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8834218Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8834344Z 2025-09-07T09:15:27.8834428Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8834630Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8834886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8835254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8835563Z return mod(*inputs) 2025-09-07T09:15:27.8835876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8836168Z x = self.forward_features(x) 2025-09-07T09:15:27.8836487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8836814Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8837129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8837431Z x = block(x) 2025-09-07T09:15:27.8837697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8838012Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8838151Z 2025-09-07T09:15:27.8838233Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8838437Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8838630Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8838828Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8839045Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8839246Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8839436Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8839660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8840004Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8840310Z return mod(*inputs) 2025-09-07T09:15:27.8840578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8840884Z x = self.forward_features(x) 2025-09-07T09:15:27.8841206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8841533Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8841854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8842161Z x = block(x) 2025-09-07T09:15:27.8842429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8842743Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8843062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8843366Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8843499Z 2025-09-07T09:15:27.8843575Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8843784Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8843987Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8844177Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8844379Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8844578Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8844777Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8844972Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8845161Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8845385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8845724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8846030Z return mod(*inputs) 2025-09-07T09:15:27.8846295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8846595Z x = self.forward_features(x) 2025-09-07T09:15:27.8846911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8847236Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8847552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8847857Z x = block(x) 2025-09-07T09:15:27.8848134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8848470Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8848784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8849077Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8849210Z 2025-09-07T09:15:27.8849283Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8849481Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8849701Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8850027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8850328Z return mod(*inputs) 2025-09-07T09:15:27.8850607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8850905Z x = self.forward_features(x) 2025-09-07T09:15:27.8851215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8851556Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8851867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8852176Z x = block(x) 2025-09-07T09:15:27.8852440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8852748Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8852896Z 2025-09-07T09:15:27.8852971Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8853173Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8853370Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8853563Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8853758Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8853959Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8854158Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8854374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8854715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8855018Z return mod(*inputs) 2025-09-07T09:15:27.8855299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8855602Z x = self.forward_features(x) 2025-09-07T09:15:27.8855914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8856241Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8856551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8856864Z x = block(x) 2025-09-07T09:15:27.8857118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8857437Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8857755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8858057Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8858181Z 2025-09-07T09:15:27.8858261Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8858455Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8858654Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8858850Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8859045Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8859232Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8859430Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8859644Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8859841Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8860071Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8860412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8860757Z return mod(*inputs) 2025-09-07T09:15:27.8861032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8861321Z x = self.forward_features(x) 2025-09-07T09:15:27.8861640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8861964Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8862269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8862574Z x = block(x) 2025-09-07T09:15:27.8862829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8863146Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8863460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8863768Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8863909Z 2025-09-07T09:15:27.8863986Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8864190Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8864413Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8864755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8865062Z return mod(*inputs) 2025-09-07T09:15:27.8865328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8865628Z x = self.forward_features(x) 2025-09-07T09:15:27.8865946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8866270Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8866574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8866882Z x = block(x) 2025-09-07T09:15:27.8867150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8867467Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8867603Z 2025-09-07T09:15:27.8867688Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8867882Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8868084Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8868282Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8868479Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8868670Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8868870Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8869098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8869437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8869736Z return mod(*inputs) 2025-09-07T09:15:27.8870017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8870317Z x = self.forward_features(x) 2025-09-07T09:15:27.8870636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8870952Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8871262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8871571Z x = block(x) 2025-09-07T09:15:27.8871837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8872152Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8872472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8872791Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8872943Z 2025-09-07T09:15:27.8873017Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8873219Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8873417Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8873614Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8873810Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8874004Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8874195Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8874389Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8874584Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8874800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8875128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8875438Z return mod(*inputs) 2025-09-07T09:15:27.8875714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8876017Z x = self.forward_features(x) 2025-09-07T09:15:27.8876347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8876668Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8876983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8877298Z x = block(x) 2025-09-07T09:15:27.8877568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8877882Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8878203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8878518Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8878646Z 2025-09-07T09:15:27.8878732Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8878939Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8879163Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8879506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8879819Z return mod(*inputs) 2025-09-07T09:15:27.8880104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8880403Z x = self.forward_features(x) 2025-09-07T09:15:27.8880733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8881063Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8881379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8881699Z x = block(x) 2025-09-07T09:15:27.8881963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8882289Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8882428Z 2025-09-07T09:15:27.8882514Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8882725Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8882922Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8883129Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8883333Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8883540Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8883730Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8883958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8884302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8884620Z return mod(*inputs) 2025-09-07T09:15:27.8884887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8885199Z x = self.forward_features(x) 2025-09-07T09:15:27.8885538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8885864Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8886173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8886475Z x = block(x) 2025-09-07T09:15:27.8886739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8887058Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8887375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8887675Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8887810Z 2025-09-07T09:15:27.8887886Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8888087Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8888290Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8888488Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8888691Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8888888Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8889084Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8889277Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8889471Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8889691Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8890029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8890335Z return mod(*inputs) 2025-09-07T09:15:27.8890600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8890903Z x = self.forward_features(x) 2025-09-07T09:15:27.8891221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8891547Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8891851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8892164Z x = block(x) 2025-09-07T09:15:27.8892428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8892751Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8893070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8893367Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8893499Z 2025-09-07T09:15:27.8893574Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8893778Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8894004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8894335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8894641Z return mod(*inputs) 2025-09-07T09:15:27.8894917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8895219Z x = self.forward_features(x) 2025-09-07T09:15:27.8895534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8895854Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8896167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8896476Z x = block(x) 2025-09-07T09:15:27.8896740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8897049Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8897213Z 2025-09-07T09:15:27.8897289Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8897510Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8897744Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8897931Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8898132Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8898331Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8898530Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8898742Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8899076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8899378Z return mod(*inputs) 2025-09-07T09:15:27.8899655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8899952Z x = self.forward_features(x) 2025-09-07T09:15:27.8900261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8900581Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8900886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8901194Z x = block(x) 2025-09-07T09:15:27.8901463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8901781Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8902098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8902405Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8902530Z 2025-09-07T09:15:27.8902613Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8902806Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903006Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903208Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903408Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903600Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903801Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8903998Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8904196Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8904412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8904750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8905058Z return mod(*inputs) 2025-09-07T09:15:27.8905337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8905629Z x = self.forward_features(x) 2025-09-07T09:15:27.8905951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8906276Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8906587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8906896Z x = block(x) 2025-09-07T09:15:27.8907155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8907473Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8907786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 169, in forward 2025-09-07T09:15:27.8908088Z x = F.scaled_dot_product_attention( 2025-09-07T09:15:27.8908212Z 2025-09-07T09:15:27.8908286Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8908486Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8908708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8909046Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8909385Z return mod(*inputs) 2025-09-07T09:15:27.8909654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8909981Z x = self.forward_features(x) 2025-09-07T09:15:27.8910315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 795, in forward_features 2025-09-07T09:15:27.8910642Z x = self.forward_tokens(x) 2025-09-07T09:15:27.8910941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 642, in forward_tokens 2025-09-07T09:15:27.8911248Z x = block(x) 2025-09-07T09:15:27.8911512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 210, in forward 2025-09-07T09:15:27.8911830Z x = x + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8911966Z 2025-09-07T09:15:27.8912048Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8912243Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8912443Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8912642Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8912838Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8913053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8913405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8913711Z return mod(*inputs) 2025-09-07T09:15:27.8913986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8914276Z x = self.forward_features(x) 2025-09-07T09:15:27.8914598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8914921Z x = self.forward_cls(x) 2025-09-07T09:15:27.8915221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 651, in forward_cls 2025-09-07T09:15:27.8915539Z x = torch.cat([cls_tokens, x], dim=1) 2025-09-07T09:15:27.8915669Z 2025-09-07T09:15:27.8915745Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8915944Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8916171Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8916515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8916815Z return mod(*inputs) 2025-09-07T09:15:27.8917092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8917395Z x = self.forward_features(x) 2025-09-07T09:15:27.8917714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8918029Z x = self.forward_cls(x) 2025-09-07T09:15:27.8918331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8918634Z x = block(x) 2025-09-07T09:15:27.8918905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T09:15:27.8919255Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8919587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T09:15:27.8919946Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T09:15:27.8920136Z 2025-09-07T09:15:27.8920215Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8920417Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8920634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8920971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8921276Z return mod(*inputs) 2025-09-07T09:15:27.8921554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8921868Z x = self.forward_features(x) 2025-09-07T09:15:27.8922193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8922521Z x = self.forward_cls(x) 2025-09-07T09:15:27.8922839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8923144Z x = block(x) 2025-09-07T09:15:27.8923402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T09:15:27.8923753Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8924095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T09:15:27.8924478Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T09:15:27.8924672Z 2025-09-07T09:15:27.8924757Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8924953Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8925153Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8925352Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8925551Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8925740Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8925980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8926318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8926621Z return mod(*inputs) 2025-09-07T09:15:27.8926887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8927187Z x = self.forward_features(x) 2025-09-07T09:15:27.8927506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8927834Z x = self.forward_cls(x) 2025-09-07T09:15:27.8928130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8928425Z x = block(x) 2025-09-07T09:15:27.8928695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T09:15:27.8929057Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T09:15:27.8929232Z 2025-09-07T09:15:27.8929317Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8929535Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8929879Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8930187Z return mod(*inputs) 2025-09-07T09:15:27.8930468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8930766Z x = self.forward_features(x) 2025-09-07T09:15:27.8931120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8931457Z x = self.forward_cls(x) 2025-09-07T09:15:27.8931756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8932062Z x = block(x) 2025-09-07T09:15:27.8932325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T09:15:27.8932648Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T09:15:27.8932798Z 2025-09-07T09:15:27.8932877Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8933084Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8933312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8933644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8933950Z return mod(*inputs) 2025-09-07T09:15:27.8934228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8934570Z x = self.forward_features(x) 2025-09-07T09:15:27.8934903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8935248Z x = self.forward_cls(x) 2025-09-07T09:15:27.8935547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8935853Z x = block(x) 2025-09-07T09:15:27.8936120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T09:15:27.8936466Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8936809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 246, in forward 2025-09-07T09:15:27.8937170Z q = self.q(x[:, :1, :]).reshape(B, self.num_heads, 1, self.head_dim) * self.scale 2025-09-07T09:15:27.8937349Z 2025-09-07T09:15:27.8937434Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8937632Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8937857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8938200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8938506Z return mod(*inputs) 2025-09-07T09:15:27.8938804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8939096Z x = self.forward_features(x) 2025-09-07T09:15:27.8939414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8939736Z x = self.forward_cls(x) 2025-09-07T09:15:27.8940031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8940325Z x = block(x) 2025-09-07T09:15:27.8940590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 296, in forward 2025-09-07T09:15:27.8940940Z cls_embed = cls_embed + self.drop_path1(self.attn(self.norm1(x))) 2025-09-07T09:15:27.8941280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 252, in forward 2025-09-07T09:15:27.8941653Z cls_embed = (attn @ v).transpose(1, 2).reshape(B, 1, self.head_dim * self.num_heads) 2025-09-07T09:15:27.8941848Z 2025-09-07T09:15:27.8941922Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8942126Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8942328Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8942531Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8942718Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8942918Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8943143Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8943486Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8943786Z return mod(*inputs) 2025-09-07T09:15:27.8944065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8944371Z x = self.forward_features(x) 2025-09-07T09:15:27.8944696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8945023Z x = self.forward_cls(x) 2025-09-07T09:15:27.8945310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8945613Z x = block(x) 2025-09-07T09:15:27.8945878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 297, in forward 2025-09-07T09:15:27.8946234Z cls_embed = cls_embed + self.drop_path2(self.mlp(self.norm2(cls_embed))) 2025-09-07T09:15:27.8946410Z 2025-09-07T09:15:27.8946484Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8946709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8947065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8947373Z return mod(*inputs) 2025-09-07T09:15:27.8947672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 822, in forward 2025-09-07T09:15:27.8947979Z x = self.forward_features(x) 2025-09-07T09:15:27.8948301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 799, in forward_features 2025-09-07T09:15:27.8948623Z x = self.forward_cls(x) 2025-09-07T09:15:27.8948919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 656, in forward_cls 2025-09-07T09:15:27.8949214Z x = block(x) 2025-09-07T09:15:27.8949477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 298, in forward 2025-09-07T09:15:27.8949796Z return torch.cat([cls_embed, x[:, 1:]], dim=1) 2025-09-07T09:15:27.8949937Z 2025-09-07T09:15:27.8950041Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8950386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8950686Z return mod(*inputs) 2025-09-07T09:15:27.8950966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T09:15:27.8951282Z x = self.forward_head(x) 2025-09-07T09:15:27.8951586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 816, in forward_head 2025-09-07T09:15:27.8951892Z aux = self.aux_head(x[:, 1:]) 2025-09-07T09:15:27.8952015Z 2025-09-07T09:15:27.8952090Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8952290Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8952512Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8952837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8953139Z return mod(*inputs) 2025-09-07T09:15:27.8953415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T09:15:27.8953716Z x = self.forward_head(x) 2025-09-07T09:15:27.8954022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T09:15:27.8954335Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T09:15:27.8954462Z 2025-09-07T09:15:27.8954559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8954894Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8955195Z return mod(*inputs) 2025-09-07T09:15:27.8955463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T09:15:27.8955759Z x = self.forward_head(x) 2025-09-07T09:15:27.8956057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 813, in forward_head 2025-09-07T09:15:27.8956370Z out = self.head(out) 2025-09-07T09:15:27.8956471Z 2025-09-07T09:15:27.8956578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T09:15:27.8956905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 436, in forward_pass 2025-09-07T09:15:27.8957212Z return mod(*inputs) 2025-09-07T09:15:27.8957485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 823, in forward 2025-09-07T09:15:27.8957781Z x = self.forward_head(x) 2025-09-07T09:15:27.8958072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/timm/models/volo.py", line 817, in forward_head 2025-09-07T09:15:27.8958384Z out = out + 0.5 * aux.max(1)[0] 2025-09-07T09:15:27.8958509Z 2025-09-07T09:15:27.8958588Z cudagraph partition due to non gpu ops 2025-09-07T09:15:27.8958792Z cudagraph partition due to non gpu ops 2025-09-07T09:15:57.1157986Z 2025-09-07T09:15:59.3825056Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T10:07:41.7943002Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T10:07:41.7950848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:41.7951077Z env: 2025-09-07T10:07:41.7951237Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:41.7951528Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:41.7951816Z ##[endgroup] 2025-09-07T10:07:41.7978195Z + [[ -n '' ]] 2025-09-07T10:07:41.7978520Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T10:07:41.9616771Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:07:42.6969784Z Collecting boto3==1.35.33 2025-09-07T10:07:42.7107113Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T10:07:42.9172018Z Collecting psutil==7.0.0 2025-09-07T10:07:42.9202698Z 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) 2025-09-07T10:07:42.9472171Z Collecting pynvml==12.0.0 2025-09-07T10:07:42.9499990Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T10:07:43.6846409Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T10:07:43.6871719Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T10:07:43.7670714Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-09-07T10:07:43.7978040Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T10:07:43.8006603Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T10:07:43.8384589Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T10:07:43.8410574Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T10:07:43.8473999Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-09-07T10:07:43.8481562Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-09-07T10:07:43.9523791Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-09-07T10:07:44.0411378Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T10:07:44.3510421Z Attempting uninstall: nvidia-ml-py 2025-09-07T10:07:44.3510834Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T10:07:44.3518624Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T10:07:44.3634327Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T10:07:44.4043267Z Attempting uninstall: psutil 2025-09-07T10:07:44.4043828Z Found existing installation: psutil 5.9.8 2025-09-07T10:07:44.4082558Z Uninstalling psutil-5.9.8: 2025-09-07T10:07:44.4086463Z Successfully uninstalled psutil-5.9.8 2025-09-07T10:07:44.5255862Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-09-07T10:07:44.6155782Z + DEVICE_NAME= 2025-09-07T10:07:44.6156077Z + DEVICE_TYPE= 2025-09-07T10:07:44.6156285Z + command -v nvidia-smi 2025-09-07T10:07:44.6156501Z + command -v rocminfo 2025-09-07T10:07:44.6156692Z + echo DEVICE_NAME= 2025-09-07T10:07:44.6156890Z + echo DEVICE_TYPE= 2025-09-07T10:07:44.6174205Z ##[group]Run set -eux 2025-09-07T10:07:44.6174399Z set -eux 2025-09-07T10:07:44.6174564Z  2025-09-07T10:07:44.6174728Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T10:07:44.6174955Z  echo "Missing github-token input" 2025-09-07T10:07:44.6175152Z  exit 1 2025-09-07T10:07:44.6175301Z fi 2025-09-07T10:07:44.6180488Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:44.6180717Z env: 2025-09-07T10:07:44.6180880Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:44.6181163Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:44.6181458Z DEVICE_NAME: 2025-09-07T10:07:44.6181607Z DEVICE_TYPE: 2025-09-07T10:07:44.6181970Z GITHUB_TOKEN: *** 2025-09-07T10:07:44.6182129Z ##[endgroup] 2025-09-07T10:07:44.6200902Z + [[ -z *** ]] 2025-09-07T10:07:44.6227983Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T10:07:44.6228251Z with: 2025-09-07T10:07:44.6228510Z github-token: *** 2025-09-07T10:07:44.6228658Z env: 2025-09-07T10:07:44.6228823Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:44.6229102Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:44.6229392Z DEVICE_NAME: 2025-09-07T10:07:44.6229536Z DEVICE_TYPE: 2025-09-07T10:07:44.6229688Z ##[endgroup] 2025-09-07T10:07:44.6239650Z ##[group]Run set -eux 2025-09-07T10:07:44.6239833Z set -eux 2025-09-07T10:07:44.6239981Z  2025-09-07T10:07:44.6240265Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T10:07:44.6244644Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:44.6244878Z env: 2025-09-07T10:07:44.6245029Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:44.6245307Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:44.6245655Z DEVICE_NAME: 2025-09-07T10:07:44.6245809Z DEVICE_TYPE: 2025-09-07T10:07:44.6246079Z GITHUB_TOKEN: *** 2025-09-07T10:07:44.6246315Z ##[endgroup] 2025-09-07T10:07:44.6264216Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525285611 i-0356b71ff85eb4aa1 2025-09-07T10:07:45.1652417Z setting job-id=49775585814 2025-09-07T10:07:45.1652836Z setting job-name=inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T10:07:45.1727373Z ##[group]Run set -eux 2025-09-07T10:07:45.1727561Z set -eux 2025-09-07T10:07:45.1727706Z  2025-09-07T10:07:45.1727862Z if [[ -n "" ]]; then 2025-09-07T10:07:45.1728042Z  source "" 2025-09-07T10:07:45.1728201Z fi 2025-09-07T10:07:45.1728338Z  2025-09-07T10:07:45.1728583Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T10:07:45.1728887Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T10:07:45.1729104Z  --repo "${REPO}" \ 2025-09-07T10:07:45.1729301Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T10:07:45.1729503Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T10:07:45.1729716Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T10:07:45.1729931Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T10:07:45.1730181Z  --job-id "${JOB_ID}" \ 2025-09-07T10:07:45.1730368Z  --job-name "${JOB_NAME}" 2025-09-07T10:07:45.1734208Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:45.1734435Z env: 2025-09-07T10:07:45.1734587Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:45.1734861Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:45.1735151Z DEVICE_NAME: 2025-09-07T10:07:45.1735308Z DEVICE_TYPE: 2025-09-07T10:07:45.1735459Z SCHEMA_VERSION: v3 2025-09-07T10:07:45.1735622Z REPO: pytorch/pytorch 2025-09-07T10:07:45.1735798Z HEAD_BRANCH: refs/heads/main 2025-09-07T10:07:45.1736011Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T10:07:45.1736226Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T10:07:45.1736390Z RUN_ATTEMPT: 1 2025-09-07T10:07:45.1736549Z JOB_ID: 49775585814 2025-09-07T10:07:45.1736863Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T10:07:45.1737191Z ##[endgroup] 2025-09-07T10:07:45.1756783Z + [[ -n '' ]] 2025-09-07T10:07:45.1758028Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17525285611 --run-attempt 1 --job-id 49775585814 --job-name 'inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)' 2025-09-07T10:07:45.1981541Z ##[group]Run set -eux 2025-09-07T10:07:45.1981723Z set -eux 2025-09-07T10:07:45.1981880Z  2025-09-07T10:07:45.1982037Z if [[ -n "" ]]; then 2025-09-07T10:07:45.1982219Z  source "" 2025-09-07T10:07:45.1982375Z fi 2025-09-07T10:07:45.1982512Z  2025-09-07T10:07:45.1982757Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T10:07:45.1986311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:45.1986541Z env: 2025-09-07T10:07:45.1986686Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:45.1986968Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:45.1987259Z DEVICE_NAME: 2025-09-07T10:07:45.1987415Z DEVICE_TYPE: 2025-09-07T10:07:45.1987559Z ##[endgroup] 2025-09-07T10:07:45.2003439Z + [[ -n '' ]] 2025-09-07T10:07:45.2003964Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T10:07:45.2282563Z INFO:root:Fail to import torch to get the device name 2025-09-07T10:07:45.2353537Z ##[group]Run set -eux 2025-09-07T10:07:45.2353718Z set -eux 2025-09-07T10:07:45.2353867Z  2025-09-07T10:07:45.2354029Z # TODO (huydhn): Implement this part 2025-09-07T10:07:45.2354276Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T10:07:45.2357903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:45.2358131Z env: 2025-09-07T10:07:45.2358274Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:45.2358556Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:45.2358850Z DEVICE_NAME: 2025-09-07T10:07:45.2359006Z DEVICE_TYPE: 2025-09-07T10:07:45.2359158Z ##[endgroup] 2025-09-07T10:07:45.2374949Z + echo 'dependencies={}' 2025-09-07T10:07:45.2386261Z ##[group]Run set -eux 2025-09-07T10:07:45.2386451Z set -eux 2025-09-07T10:07:45.2386604Z  2025-09-07T10:07:45.2386766Z if [[ -n "" ]]; then 2025-09-07T10:07:45.2386936Z  source "" 2025-09-07T10:07:45.2387089Z fi 2025-09-07T10:07:45.2387230Z  2025-09-07T10:07:45.2387405Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T10:07:45.2387721Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T10:07:45.2388006Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T10:07:45.2388234Z  exit 0 2025-09-07T10:07:45.2388380Z fi 2025-09-07T10:07:45.2388511Z  2025-09-07T10:07:45.2388671Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T10:07:45.2388959Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T10:07:45.2389292Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T10:07:45.2389548Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T10:07:45.2389760Z  --runners "${RUNNER_INFO}" \ 2025-09-07T10:07:45.2389980Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T10:07:45.2390186Z  --dry-run 2025-09-07T10:07:45.2390349Z else 2025-09-07T10:07:45.2390570Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T10:07:45.2390888Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T10:07:45.2391160Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T10:07:45.2391379Z  --runners "${RUNNER_INFO}" \ 2025-09-07T10:07:45.2391587Z  --dependencies "${DEPENDENCIES}" 2025-09-07T10:07:45.2391781Z fi 2025-09-07T10:07:45.2395037Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:45.2395275Z env: 2025-09-07T10:07:45.2395420Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:45.2395699Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:45.2395984Z DEVICE_NAME: 2025-09-07T10:07:45.2396142Z DEVICE_TYPE: 2025-09-07T10:07:45.2396315Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T10:07:45.2396503Z DRY_RUN: false 2025-09-07T10:07:45.2397257Z BENCHMARK_METADATA: {"timestamp": 1757239665, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585814} 2025-09-07T10:07:45.2398207Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-68-22.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T10:07:45.2398565Z DEPENDENCIES: {} 2025-09-07T10:07:45.2398770Z ##[endgroup] 2025-09-07T10:07:45.2415531Z + [[ -n '' ]] 2025-09-07T10:07:45.2415713Z + [[ ! -d test/test-reports ]] 2025-09-07T10:07:45.2415908Z + [[ false == \t\r\u\e ]] 2025-09-07T10:07:45.2417678Z + 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": 1757239665, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585814}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-68-22.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T10:07:45.3378677Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T10:07:45.3579170Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T10:07:45.4910361Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T10:07:45.5621908Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T10:07:45.6364104Z INFO:root:Upload test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T10:07:45.7251237Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json 2025-09-07T10:07:45.7929448Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T10:07:45.8777175Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T10:07:45.9666817Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T10:07:46.0732284Z INFO:root:Upload test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T10:07:46.1665576Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T10:07:46.2469799Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T10:07:46.3372671Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json 2025-09-07T10:07:46.4315459Z INFO:root:Upload test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585814/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T10:07:46.5498217Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T10:07:46.5498468Z cat test/**/*_toprint.log || true 2025-09-07T10:07:46.5502212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:46.5502443Z env: 2025-09-07T10:07:46.5502598Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:46.5502885Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:46.5503173Z DEVICE_NAME: 2025-09-07T10:07:46.5503328Z DEVICE_TYPE: 2025-09-07T10:07:46.5503479Z ##[endgroup] 2025-09-07T10:07:46.5564837Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T10:07:46.5593311Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T10:07:46.5593549Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T10:07:46.5597025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:46.5597307Z env: 2025-09-07T10:07:46.5597459Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:46.5597739Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:46.5598036Z DEVICE_NAME: 2025-09-07T10:07:46.5598181Z DEVICE_TYPE: 2025-09-07T10:07:46.5598341Z MONITOR_SCRIPT_PID: 57431 2025-09-07T10:07:46.5598516Z ##[endgroup] 2025-09-07T10:07:46.5681519Z Prepare all required actions 2025-09-07T10:07:46.5681840Z Getting action download info 2025-09-07T10:07:46.7161495Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T10:07:46.9103057Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T10:07:47.2872268Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T10:07:47.2872490Z with: 2025-09-07T10:07:47.2872744Z file-suffix: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T10:07:47.2873028Z s3-bucket: gha-artifacts 2025-09-07T10:07:47.2873197Z env: 2025-09-07T10:07:47.2873340Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.2873620Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.2873902Z DEVICE_NAME: 2025-09-07T10:07:47.2874054Z DEVICE_TYPE: 2025-09-07T10:07:47.2874227Z ##[endgroup] 2025-09-07T10:07:47.2889193Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T10:07:47.2889478Z # Remove any previous test jsons if they exist 2025-09-07T10:07:47.2889701Z rm -f test-jsons-*.zip 2025-09-07T10:07:47.2889968Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T10:07:47.2893315Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:47.2893546Z env: 2025-09-07T10:07:47.2893691Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.2893975Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.2894273Z DEVICE_NAME: 2025-09-07T10:07:47.2894431Z DEVICE_TYPE: 2025-09-07T10:07:47.2894682Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T10:07:47.2894950Z ##[endgroup] 2025-09-07T10:07:47.3039386Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T10:07:47.3053441Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T10:07:47.3069695Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T10:07:47.3084955Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T10:07:47.3101135Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T10:07:47.3124364Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T10:07:47.3175490Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T10:07:47.3198146Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T10:07:47.3248405Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T10:07:47.3271288Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T10:07:47.3321646Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T10:07:47.3344372Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T10:07:47.3378616Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T10:07:47.3394841Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T10:07:47.3395135Z # Remove any previous test reports if they exist 2025-09-07T10:07:47.3395378Z rm -f test-reports-*.zip 2025-09-07T10:07:47.3395751Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T10:07:47.3399426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:47.3399659Z env: 2025-09-07T10:07:47.3399815Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.3400101Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.3400385Z DEVICE_NAME: 2025-09-07T10:07:47.3400539Z DEVICE_TYPE: 2025-09-07T10:07:47.3400791Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T10:07:47.3401069Z ##[endgroup] 2025-09-07T10:07:47.3438875Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T10:07:47.3439376Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T10:07:47.3439837Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 55%) 2025-09-07T10:07:47.3440305Z adding: test/test-reports/inductor_export_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 56%) 2025-09-07T10:07:47.3440763Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_accuracy.csv (deflated 65%) 2025-09-07T10:07:47.3441247Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T10:07:47.3441898Z adding: test/test-reports/inductor_no_cudagraphs_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T10:07:47.3442422Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T10:07:47.3443756Z adding: test/test-reports/inductor_dynamic_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T10:07:47.3444269Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T10:07:47.3445570Z adding: test/test-reports/inductor_cpp_wrapper_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T10:07:47.3446102Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance.csv (deflated 50%) 2025-09-07T10:07:47.3446900Z adding: test/test-reports/inductor_aot_inductor_timm_models_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 48%) 2025-09-07T10:07:47.3460656Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T10:07:47.3460962Z # Remove any previous usage logs if they exist 2025-09-07T10:07:47.3461192Z rm -f logs-*.zip 2025-09-07T10:07:47.3461421Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T10:07:47.3461715Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T10:07:47.3465317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:47.3465549Z env: 2025-09-07T10:07:47.3465710Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.3465988Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.3466284Z DEVICE_NAME: 2025-09-07T10:07:47.3466434Z DEVICE_TYPE: 2025-09-07T10:07:47.3466677Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T10:07:47.3466950Z ##[endgroup] 2025-09-07T10:07:47.3545877Z adding: usage_log.txt (deflated 96%) 2025-09-07T10:07:47.3554216Z 2025-09-07T10:07:47.3554507Z zip error: Nothing to do! (logs-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip) 2025-09-07T10:07:47.3567601Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T10:07:47.3567917Z # Remove any previous debugging artifacts if they exist 2025-09-07T10:07:47.3568163Z rm -f debug-*.zip 2025-09-07T10:07:47.3568351Z if [ -d 'test/debug' ]; then 2025-09-07T10:07:47.3568665Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T10:07:47.3568880Z fi 2025-09-07T10:07:47.3572166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:47.3572401Z env: 2025-09-07T10:07:47.3572549Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.3572834Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.3573127Z DEVICE_NAME: 2025-09-07T10:07:47.3573283Z DEVICE_TYPE: 2025-09-07T10:07:47.3573521Z FILE_SUFFIX: test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814 2025-09-07T10:07:47.3573806Z ##[endgroup] 2025-09-07T10:07:47.3624092Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:07:47.3624301Z with: 2025-09-07T10:07:47.3624459Z s3-bucket: gha-artifacts 2025-09-07T10:07:47.3624671Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:47.3624892Z retention-days: 14 2025-09-07T10:07:47.3625059Z if-no-files-found: warn 2025-09-07T10:07:47.3625254Z path: test-jsons-*.zip 2025-09-07T10:07:47.3625430Z name: artifact 2025-09-07T10:07:47.3625581Z region: us-east-1 2025-09-07T10:07:47.3625728Z env: 2025-09-07T10:07:47.3625876Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.3626160Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.3626450Z DEVICE_NAME: 2025-09-07T10:07:47.3626593Z DEVICE_TYPE: 2025-09-07T10:07:47.3626743Z ##[endgroup] 2025-09-07T10:07:47.6135240Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:07:47.6135583Z With the provided path, there will be 1 file uploaded 2025-09-07T10:07:47.6135870Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:47.6164839Z Starting upload of test-jsons-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:47.7265914Z Finished upload of test-jsons-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:47.7401340Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:07:47.7401619Z with: 2025-09-07T10:07:47.7401778Z s3-bucket: gha-artifacts 2025-09-07T10:07:47.7401991Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:47.7402200Z retention-days: 14 2025-09-07T10:07:47.7402371Z if-no-files-found: error 2025-09-07T10:07:47.7402561Z path: test-reports-*.zip 2025-09-07T10:07:47.7402731Z name: artifact 2025-09-07T10:07:47.7402880Z region: us-east-1 2025-09-07T10:07:47.7403041Z env: 2025-09-07T10:07:47.7403185Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:47.7403473Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:47.7403753Z DEVICE_NAME: 2025-09-07T10:07:47.7403906Z DEVICE_TYPE: 2025-09-07T10:07:47.7404056Z ##[endgroup] 2025-09-07T10:07:47.9659504Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:07:47.9659825Z With the provided path, there will be 1 file uploaded 2025-09-07T10:07:47.9660156Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:47.9688158Z Starting upload of test-reports-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:48.0849094Z Finished upload of test-reports-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:48.0984507Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:07:48.0984718Z with: 2025-09-07T10:07:48.0984887Z s3-bucket: gha-artifacts 2025-09-07T10:07:48.0985103Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:48.0985395Z retention-days: 14 2025-09-07T10:07:48.0985560Z if-no-files-found: ignore 2025-09-07T10:07:48.0985738Z path: logs-*.zip 2025-09-07T10:07:48.0985896Z name: artifact 2025-09-07T10:07:48.0986051Z region: us-east-1 2025-09-07T10:07:48.0986197Z env: 2025-09-07T10:07:48.0986347Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.0986635Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.0987015Z DEVICE_NAME: 2025-09-07T10:07:48.0987165Z DEVICE_TYPE: 2025-09-07T10:07:48.0987315Z ##[endgroup] 2025-09-07T10:07:48.3237385Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T10:07:48.3237705Z With the provided path, there will be 1 file uploaded 2025-09-07T10:07:48.3237984Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:48.3266148Z Starting upload of logs-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:48.4415762Z Finished upload of logs-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:48.4538234Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T10:07:48.4538443Z with: 2025-09-07T10:07:48.4538602Z s3-bucket: gha-artifacts 2025-09-07T10:07:48.4538812Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T10:07:48.4539030Z retention-days: 14 2025-09-07T10:07:48.4539195Z if-no-files-found: ignore 2025-09-07T10:07:48.4539391Z path: debug-*.zip 2025-09-07T10:07:48.4539548Z name: artifact 2025-09-07T10:07:48.4539711Z region: us-east-1 2025-09-07T10:07:48.4539852Z env: 2025-09-07T10:07:48.4540020Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.4540299Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.4540588Z DEVICE_NAME: 2025-09-07T10:07:48.4540731Z DEVICE_TYPE: 2025-09-07T10:07:48.4540879Z ##[endgroup] 2025-09-07T10:07:48.6725172Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T10:07:48.6863735Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T10:07:48.6864000Z # shellcheck disable=SC2156 2025-09-07T10:07:48.6864351Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T10:07:48.6868980Z shell: /usr/bin/bash -e {0} 2025-09-07T10:07:48.6869174Z env: 2025-09-07T10:07:48.6869339Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.6869635Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.6870002Z DEVICE_NAME: 2025-09-07T10:07:48.6870161Z DEVICE_TYPE: 2025-09-07T10:07:48.6870320Z ##[endgroup] 2025-09-07T10:07:48.8490654Z Prepare all required actions 2025-09-07T10:07:48.8490941Z Getting action download info 2025-09-07T10:07:48.9798811Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T10:07:48.9799045Z with: 2025-09-07T10:07:48.9799196Z job_id: 49775585814 2025-09-07T10:07:48.9799513Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T10:07:48.9799873Z workflow_name: inductor-perf-nightly-x86 2025-09-07T10:07:48.9800077Z workflow_run_id: 17525285611 2025-09-07T10:07:48.9800259Z workflow_attempt: 1 2025-09-07T10:07:48.9800416Z env: 2025-09-07T10:07:48.9800566Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.9800836Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.9801129Z DEVICE_NAME: 2025-09-07T10:07:48.9801286Z DEVICE_TYPE: 2025-09-07T10:07:48.9801433Z ##[endgroup] 2025-09-07T10:07:48.9811636Z ##[group]Run echo "workflow_id: 17525285611" 2025-09-07T10:07:48.9811890Z echo "workflow_id: 17525285611" 2025-09-07T10:07:48.9812101Z echo "workflow_attempt: 1" 2025-09-07T10:07:48.9812336Z echo "workflow_Name: inductor-perf-nightly-x86" 2025-09-07T10:07:48.9812571Z echo "job_id: 49775585814" 2025-09-07T10:07:48.9812926Z echo "job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)" 2025-09-07T10:07:48.9813331Z echo "artifact_prefix: " 2025-09-07T10:07:48.9813530Z python3 --version 2025-09-07T10:07:48.9817222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:48.9817455Z env: 2025-09-07T10:07:48.9817601Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.9817881Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.9818168Z DEVICE_NAME: 2025-09-07T10:07:48.9818324Z DEVICE_TYPE: 2025-09-07T10:07:48.9818478Z ##[endgroup] 2025-09-07T10:07:48.9834512Z workflow_id: 17525285611 2025-09-07T10:07:48.9834729Z workflow_attempt: 1 2025-09-07T10:07:48.9834935Z workflow_Name: inductor-perf-nightly-x86 2025-09-07T10:07:48.9835149Z job_id: 49775585814 2025-09-07T10:07:48.9835468Z job_name: inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal) 2025-09-07T10:07:48.9835807Z artifact_prefix: 2025-09-07T10:07:48.9844836Z Python 3.9.23 2025-09-07T10:07:48.9870053Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T10:07:48.9870261Z with: 2025-09-07T10:07:48.9870402Z shell: bash 2025-09-07T10:07:48.9870553Z timeout_minutes: 5 2025-09-07T10:07:48.9870715Z max_attempts: 5 2025-09-07T10:07:48.9870876Z retry_wait_seconds: 30 2025-09-07T10:07:48.9871197Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-09-07T10:07:48.9871545Z polling_interval_seconds: 1 2025-09-07T10:07:48.9871727Z warning_on_retry: true 2025-09-07T10:07:48.9871908Z continue_on_error: false 2025-09-07T10:07:48.9872071Z env: 2025-09-07T10:07:48.9872211Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:48.9872488Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:48.9872778Z DEVICE_NAME: 2025-09-07T10:07:48.9872929Z DEVICE_TYPE: 2025-09-07T10:07:48.9873071Z ##[endgroup] 2025-09-07T10:07:49.2181898Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T10:07:49.2684245Z Collecting python-dateutil==2.8.2 2025-09-07T10:07:49.2797596Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T10:07:49.9042299Z Collecting boto3==1.35.42 2025-09-07T10:07:49.9067282Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T10:07:50.2365602Z Collecting pandas==2.1.3 2025-09-07T10:07:50.2387786Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T10:07:50.3117453Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T10:07:50.3125922Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T10:07:50.3156421Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-09-07T10:07:50.3160168Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-09-07T10:07:50.3162686Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-09-07T10:07:50.8774378Z Collecting numpy<2,>=1.22.4 2025-09-07T10:07:50.8796795Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T10:07:51.0003490Z Collecting tzdata>=2022.1 2025-09-07T10:07:51.0025716Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T10:07:51.0097098Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T10:07:51.0130968Z 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) 2025-09-07T10:07:51.0133744Z 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) 2025-09-07T10:07:51.0194757Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-09-07T10:07:51.0255449Z 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) 2025-09-07T10:07:51.0322910Z 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) 2025-09-07T10:07:51.0325782Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-09-07T10:07:51.1390069Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T10:07:54.6557445Z Attempting uninstall: boto3 2025-09-07T10:07:54.6557729Z Found existing installation: boto3 1.35.33 2025-09-07T10:07:54.6616016Z Uninstalling boto3-1.35.33: 2025-09-07T10:07:54.6624113Z Successfully uninstalled boto3-1.35.33 2025-09-07T10:07:54.6996457Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T10:07:55.0473941Z Command completed after 1 attempt(s). 2025-09-07T10:07:55.0513743Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T10:07:55.0514189Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T10:07:55.0514510Z  --workflow-run-id "17525285611" \ 2025-09-07T10:07:55.0514772Z  --workflow-name "inductor-perf-nightly-x86" \ 2025-09-07T10:07:55.0515023Z  --workflow-run-attempt "1" \ 2025-09-07T10:07:55.0515242Z  --job-id "49775585814" \ 2025-09-07T10:07:55.0515610Z  --job-name "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)" \ 2025-09-07T10:07:55.0515993Z  --local-path "" \ 2025-09-07T10:07:55.0516199Z  --artifact-prefix "" 2025-09-07T10:07:55.0521356Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:55.0521602Z env: 2025-09-07T10:07:55.0521767Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:55.0522059Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:55.0522428Z DEVICE_NAME: 2025-09-07T10:07:55.0522590Z DEVICE_TYPE: 2025-09-07T10:07:55.0522748Z ##[endgroup] 2025-09-07T10:07:55.9620401Z repo: pytorch/pytorch 2025-09-07T10:07:55.9620725Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T10:07:55.9621069Z Downloading logs-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:55.9621530Z extracting usage_log.txt from zip file logs-test-inductor_timm_perf_cpu_x86-5-5-linux.24xl.spr-metal_49775585814.zip 2025-09-07T10:07:55.9621911Z Converted Log Model: UtilizationMetadata: 2025-09-07T10:07:55.9622752Z UtilizationMetadata(level='metadata', workflow_id='17525285611', job_id='49775585814', workflow_name='inductor-perf-nightly-x86', job_name='inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757231187, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T10:07:55.9623624Z [Db Segments] detected pytest cmd: 13, generated segments: 13 2025-09-07T10:07:55.9623894Z [db model] Peek db timeseries 2025-09-07T10:07:55.9624070Z :{ 2025-09-07T10:07:55.9624222Z "created_at": 1757239675, 2025-09-07T10:07:55.9624403Z "type": "utilization", 2025-09-07T10:07:55.9624580Z "tags": [ 2025-09-07T10:07:55.9624726Z "record" 2025-09-07T10:07:55.9624880Z ], 2025-09-07T10:07:55.9625030Z "time_stamp": 1757231187, 2025-09-07T10:07:55.9625211Z "repo": "pytorch/pytorch", 2025-09-07T10:07:55.9625455Z "workflow_id": 17525285611, 2025-09-07T10:07:55.9625640Z "run_attempt": 1, 2025-09-07T10:07:55.9625808Z "job_id": 49775585814, 2025-09-07T10:07:55.9626024Z "workflow_name": "inductor-perf-nightly-x86", 2025-09-07T10:07:55.9626389Z "job_name": "inductor-test-nightly-freezing / test (inductor_timm_perf_cpu_x86, 5, 5, linux.24xl.spr-metal)", 2025-09-07T10:07:55.9626727Z "json_data": "{}" 2025-09-07T10:07:55.9626887Z } 2025-09-07T10:07:55.9627190Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585814/metadata 2025-09-07T10:07:55.9627690Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585814/metadata 2025-09-07T10:07:55.9628211Z Writing 564 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585814/time_series 2025-09-07T10:07:55.9628736Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585814/time_series 2025-09-07T10:07:56.0403537Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T10:07:56.0403897Z with: 2025-09-07T10:07:56.0404097Z env: 2025-09-07T10:07:56.0404304Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:56.0404702Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:56.0405107Z DEVICE_NAME: 2025-09-07T10:07:56.0405318Z DEVICE_TYPE: 2025-09-07T10:07:56.0405530Z ##[endgroup] 2025-09-07T10:07:56.0420473Z ##[group]Run set -eou pipefail 2025-09-07T10:07:56.0420841Z set -eou pipefail 2025-09-07T10:07:56.0421076Z  2025-09-07T10:07:56.0421400Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T10:07:56.0421793Z for _ in $(seq 1440); do 2025-09-07T10:07:56.0422094Z  # Break if no ssh session exists anymore 2025-09-07T10:07:56.0422392Z  if [ "$(who)" = "" ]; then 2025-09-07T10:07:56.0422676Z  break 2025-09-07T10:07:56.0422929Z  fi 2025-09-07T10:07:56.0423137Z  echo "." 2025-09-07T10:07:56.0423357Z  sleep 5 2025-09-07T10:07:56.0423573Z done 2025-09-07T10:07:56.0428668Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:56.0428980Z env: 2025-09-07T10:07:56.0429188Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:56.0429579Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:56.0430049Z DEVICE_NAME: 2025-09-07T10:07:56.0430257Z DEVICE_TYPE: 2025-09-07T10:07:56.0430468Z ##[endgroup] 2025-09-07T10:07:56.0449652Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T10:07:56.0519577Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T10:07:56.0519918Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T10:07:56.0520185Z # shellcheck disable=SC2046 2025-09-07T10:07:56.0520423Z docker stop $(docker ps -q) || true 2025-09-07T10:07:56.0520641Z # Prune all of the docker images 2025-09-07T10:07:56.0520851Z docker system prune -af 2025-09-07T10:07:56.0524508Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:07:56.0524743Z env: 2025-09-07T10:07:56.0524897Z GIT_DEFAULT_BRANCH: main 2025-09-07T10:07:56.0525185Z DOCKER_CONTAINER_ID: b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:07:56.0525490Z DEVICE_NAME: 2025-09-07T10:07:56.0525648Z DEVICE_TYPE: 2025-09-07T10:07:56.0525798Z ##[endgroup] 2025-09-07T10:08:06.9944986Z b80a39b43085 2025-09-07T10:08:07.5152006Z Deleted Containers: 2025-09-07T10:08:07.5152327Z b80a39b430859f3b7a8e24879cc20c4e6b110a64c6c78c7cb2b869e91d64a1aa 2025-09-07T10:08:07.5152529Z 2025-09-07T10:08:13.8270226Z Deleted Images: 2025-09-07T10:08:13.8270878Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T10:08:14.3072116Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T10:08:14.3088393Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3095518Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T10:08:14.3117921Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T10:08:14.3362343Z Entering 'android/libs/fbjni' 2025-09-07T10:08:14.3394506Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3420765Z Entering 'third_party/FP16' 2025-09-07T10:08:14.3452265Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3476333Z Entering 'third_party/FXdiv' 2025-09-07T10:08:14.3504574Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3530568Z Entering 'third_party/NNPACK' 2025-09-07T10:08:14.3560414Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3586682Z Entering 'third_party/NVTX' 2025-09-07T10:08:14.3614850Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3642288Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T10:08:14.3671213Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3699626Z Entering 'third_party/XNNPACK' 2025-09-07T10:08:14.3731906Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3768088Z Entering 'third_party/aiter' 2025-09-07T10:08:14.3795804Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3823244Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T10:08:14.3854184Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3886430Z Entering 'third_party/benchmark' 2025-09-07T10:08:14.3915019Z http.https://github.com/.extraheader 2025-09-07T10:08:14.3942874Z Entering 'third_party/composable_kernel' 2025-09-07T10:08:14.3972842Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4005884Z Entering 'third_party/cpp-httplib' 2025-09-07T10:08:14.4037812Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4063905Z Entering 'third_party/cpuinfo' 2025-09-07T10:08:14.4094306Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4122258Z Entering 'third_party/cudnn_frontend' 2025-09-07T10:08:14.4153356Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4178200Z Entering 'third_party/cutlass' 2025-09-07T10:08:14.4210540Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4246567Z Entering 'third_party/fbgemm' 2025-09-07T10:08:14.4276968Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4304015Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T10:08:14.4334446Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4360468Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T10:08:14.4390057Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4421537Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T10:08:14.4451455Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4475753Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T10:08:14.4504546Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4537981Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T10:08:14.4567938Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4592400Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T10:08:14.4620733Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4646091Z Entering 'third_party/fbgemm/external/json' 2025-09-07T10:08:14.4676003Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4706567Z Entering 'third_party/flash-attention' 2025-09-07T10:08:14.4737435Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4764739Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T10:08:14.4793861Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4826231Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T10:08:14.4854444Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4886655Z Entering 'third_party/flatbuffers' 2025-09-07T10:08:14.4918391Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4946065Z Entering 'third_party/fmt' 2025-09-07T10:08:14.4973579Z http.https://github.com/.extraheader 2025-09-07T10:08:14.4999141Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T10:08:14.5026897Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5054183Z Entering 'third_party/gloo' 2025-09-07T10:08:14.5085592Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5113185Z Entering 'third_party/googletest' 2025-09-07T10:08:14.5145194Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5169470Z Entering 'third_party/ideep' 2025-09-07T10:08:14.5196628Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5222635Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T10:08:14.5252592Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5284066Z Entering 'third_party/ittapi' 2025-09-07T10:08:14.5313834Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5340586Z Entering 'third_party/kineto' 2025-09-07T10:08:14.5370463Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5396911Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T10:08:14.5426177Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5454459Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T10:08:14.5484048Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5511760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T10:08:14.5541268Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5570184Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T10:08:14.5599981Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5627960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T10:08:14.5655640Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5684424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T10:08:14.5710731Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5739479Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T10:08:14.5767415Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5791457Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T10:08:14.5821780Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5849290Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T10:08:14.5880068Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5906603Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T10:08:14.5937335Z http.https://github.com/.extraheader 2025-09-07T10:08:14.5965894Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T10:08:14.5994899Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6021851Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T10:08:14.6052590Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6080755Z Entering 'third_party/kleidiai' 2025-09-07T10:08:14.6112844Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6141242Z Entering 'third_party/mimalloc' 2025-09-07T10:08:14.6169372Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6193334Z Entering 'third_party/nlohmann' 2025-09-07T10:08:14.6222966Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6250129Z Entering 'third_party/onnx' 2025-09-07T10:08:14.6279586Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6318481Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T10:08:14.6350485Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6378089Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T10:08:14.6407497Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6435151Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T10:08:14.6464046Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6488513Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T10:08:14.6519985Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6547581Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T10:08:14.6576161Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6602592Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T10:08:14.6632234Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6657772Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T10:08:14.6688155Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6713166Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T10:08:14.6744291Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6770190Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T10:08:14.6800846Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6827915Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T10:08:14.6856335Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6886822Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T10:08:14.6916032Z http.https://github.com/.extraheader 2025-09-07T10:08:14.6945207Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T10:08:14.6973505Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7015768Z Entering 'third_party/pocketfft' 2025-09-07T10:08:14.7046529Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7074716Z Entering 'third_party/protobuf' 2025-09-07T10:08:14.7106774Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7137412Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T10:08:14.7164321Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7189621Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T10:08:14.7219027Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7247078Z Entering 'third_party/psimd' 2025-09-07T10:08:14.7276628Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7304507Z Entering 'third_party/pthreadpool' 2025-09-07T10:08:14.7335019Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7361667Z Entering 'third_party/pybind11' 2025-09-07T10:08:14.7391492Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7418283Z Entering 'third_party/python-peachpy' 2025-09-07T10:08:14.7451212Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7480378Z Entering 'third_party/sleef' 2025-09-07T10:08:14.7510150Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7537137Z Entering 'third_party/tensorpipe' 2025-09-07T10:08:14.7564409Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7591357Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T10:08:14.7621823Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7648307Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T10:08:14.7678626Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7704499Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T10:08:14.7733818Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7759266Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T10:08:14.7787754Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7813675Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T10:08:14.7843013Z http.https://github.com/.extraheader 2025-09-07T10:08:14.7942604Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T10:08:14.7956407Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T10:08:14.7959756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T10:08:14.7960013Z ##[endgroup] 2025-09-07T10:08:14.8022509Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T10:08:22.0721118Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T10:08:34.3639484Z Cleaning up orphan processes