2025-10-10T00:34:00.0570230Z Current runner version: '2.328.0'
2025-10-10T00:34:00.0575573Z Runner name: 'i-0beba8ef4b109a32f'
2025-10-10T00:34:00.0576266Z Runner group name: 'default'
2025-10-10T00:34:00.0577034Z Machine name: 'ip-10-0-2-31'
2025-10-10T00:34:00.0579175Z ##[group]GITHUB_TOKEN Permissions
2025-10-10T00:34:00.0581493Z Contents: read
2025-10-10T00:34:00.0581976Z Metadata: read
2025-10-10T00:34:00.0582709Z ##[endgroup]
2025-10-10T00:34:00.0584637Z Secret source: Actions
2025-10-10T00:34:00.0585302Z Prepare workflow directory
2025-10-10T00:34:00.1015210Z Prepare all required actions
2025-10-10T00:34:00.1050035Z Getting action download info
2025-10-10T00:34:00.4078077Z Download action repository 'pytorch/test-infra@main' (SHA:264eed5d70b428e3aa5c1a7c98e4330f866e183f)
2025-10-10T00:34:01.9097865Z Download action repository 'pytorch/pytorch@main' (SHA:a6fa4f9c283971c0fb6f60a89674a1f35370ac79)
2025-10-10T00:34:16.2694757Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-10-10T00:34:16.6476117Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-10-10T00:34:16.8936259Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-10-10T00:34:17.1163596Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:34:17.4141261Z Getting action download info
2025-10-10T00:34:17.5429061Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-10-10T00:34:17.7986043Z Getting action download info
2025-10-10T00:34:17.9648142Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-10-10T00:34:18.1591787Z Getting action download info
2025-10-10T00:34:18.2961735Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-10-10T00:34:18.5442541Z Getting action download info
2025-10-10T00:34:18.6765371Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (344e6365a0068c2d2847fcec0c55dd53291d475e)
2025-10-10T00:34:18.6769172Z ##[group] Inputs
2025-10-10T00:34:18.6769558Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-10-10T00:34:18.6771607Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:34:18.6773772Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:34:18.6774413Z   sync-tag: 
2025-10-10T00:34:18.6775195Z   timeout-minutes: 240
2025-10-10T00:34:18.6775500Z   use-gha: 
2025-10-10T00:34:18.6775801Z   dashboard-tag: 
2025-10-10T00:34:18.6776049Z   s3-bucket: gha-artifacts
2025-10-10T00:34:18.6776345Z   aws-role-to-assume: 
2025-10-10T00:34:18.6776862Z   disable-monitor: false
2025-10-10T00:34:18.6777149Z   monitor-log-interval: 5
2025-10-10T00:34:18.6777735Z   monitor-data-collect-interval: 1
2025-10-10T00:34:18.6778176Z ##[endgroup]
2025-10-10T00:34:18.6778596Z Complete job name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:34:18.7298303Z A job started hook has been configured by the self-hosted runner administrator
2025-10-10T00:34:18.7387691Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-10-10T00:34:18.7395176Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:18.7395720Z ##[endgroup]
2025-10-10T00:34:19.7768731Z Runner Type: linux.8xlarge.amx
2025-10-10T00:34:19.7769296Z Instance Type: m7i-flex.8xlarge
2025-10-10T00:34:19.7769763Z AMI Name: unknown
2025-10-10T00:34:19.7796595Z AMI ID: ami-08982f1c5bf93d976
2025-10-10T00:34:24.2903693Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-10-10T00:34:24.2904048Z with:
2025-10-10T00:34:24.2904638Z   github-secret: ***
2025-10-10T00:34:24.2905144Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-10-10T00:34:24.2905680Z   activate-with-label: false
2025-10-10T00:34:24.2905900Z   label: with-ssh
2025-10-10T00:34:24.2906106Z   remove-existing-keys: true
2025-10-10T00:34:24.2906320Z   fail-silently: true
2025-10-10T00:34:24.2906516Z env:
2025-10-10T00:34:24.2906697Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:24.2906905Z ##[endgroup]
2025-10-10T00:34:24.3887304Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-10-10T00:34:24.3888409Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-10-10T00:34:24.4023435Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-10-10T00:34:24.4023775Z with:
2025-10-10T00:34:24.4023964Z   no-sudo: true
2025-10-10T00:34:24.4024161Z   submodules: recursive
2025-10-10T00:34:24.4024375Z   fetch-depth: 0
2025-10-10T00:34:24.4024551Z env:
2025-10-10T00:34:24.4024727Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:24.4024947Z ##[endgroup]
2025-10-10T00:34:24.4102729Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:34:24.4103402Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:34:24.4112057Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:24.4112339Z env:
2025-10-10T00:34:24.4112578Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:24.4113030Z ##[endgroup]
2025-10-10T00:34:24.4205017Z ##[group]Run # Use all available CPUs for fetching
2025-10-10T00:34:24.4205374Z # Use all available CPUs for fetching
2025-10-10T00:34:24.4205628Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:34:24.4205875Z git config --global fetch.parallel 0
2025-10-10T00:34:24.4206155Z git config --global submodule.fetchJobs 0
2025-10-10T00:34:24.4206401Z 
2025-10-10T00:34:24.4206763Z # Clean workspace. The default checkout action should also do this, but
2025-10-10T00:34:24.4207103Z # do it here as well just in case
2025-10-10T00:34:24.4207327Z if [[ -d .git ]]; then
2025-10-10T00:34:24.4207549Z   if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:34:24.4207781Z     sudo git clean -ffdx
2025-10-10T00:34:24.4207991Z   else
2025-10-10T00:34:24.4208170Z     git clean -ffdx
2025-10-10T00:34:24.4208371Z   fi
2025-10-10T00:34:24.4208550Z fi
2025-10-10T00:34:24.4213535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:34:24.4213801Z env:
2025-10-10T00:34:24.4213983Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:24.4214185Z   NO_SUDO: true
2025-10-10T00:34:24.4214369Z ##[endgroup]
2025-10-10T00:34:24.4336210Z ##[group]Run actions/checkout@v4
2025-10-10T00:34:24.4336476Z with:
2025-10-10T00:34:24.4336890Z   ref: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:24.4337363Z   fetch-depth: 0
2025-10-10T00:34:24.4337564Z   submodules: recursive
2025-10-10T00:34:24.4337775Z   show-progress: false
2025-10-10T00:34:24.4337990Z   repository: pytorch/pytorch
2025-10-10T00:34:24.4338338Z   token: ***
2025-10-10T00:34:24.4338523Z   ssh-strict: true
2025-10-10T00:34:24.4338711Z   ssh-user: git
2025-10-10T00:34:24.4338904Z   persist-credentials: true
2025-10-10T00:34:24.4339111Z   clean: true
2025-10-10T00:34:24.4339313Z   sparse-checkout-cone-mode: true
2025-10-10T00:34:24.4339546Z   fetch-tags: false
2025-10-10T00:34:24.4339732Z   lfs: false
2025-10-10T00:34:24.4339912Z   set-safe-directory: true
2025-10-10T00:34:24.4340139Z env:
2025-10-10T00:34:24.4340318Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:34:24.4340524Z ##[endgroup]
2025-10-10T00:34:24.5274954Z Syncing repository: pytorch/pytorch
2025-10-10T00:34:24.5276027Z ##[group]Getting Git version info
2025-10-10T00:34:24.5276350Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:34:24.5276808Z [command]/usr/bin/git version
2025-10-10T00:34:24.5281649Z git version 2.50.1
2025-10-10T00:34:24.5297465Z ##[endgroup]
2025-10-10T00:34:24.5306882Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7085ac7c-aa45-4d66-9667-ead440090786/.gitconfig'
2025-10-10T00:34:24.5329527Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7085ac7c-aa45-4d66-9667-ead440090786' before making global git config changes
2025-10-10T00:34:24.5330824Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:34:24.5331744Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:34:24.5369305Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:34:24.5370123Z ##[group]Initializing the repository
2025-10-10T00:34:24.5370478Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:34:24.5400389Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-10-10T00:34:24.5400931Z hint: is subject to change. To configure the initial branch name to use in all
2025-10-10T00:34:24.5401336Z hint: of your new repositories, which will suppress this warning, call:
2025-10-10T00:34:24.5401643Z hint:
2025-10-10T00:34:24.5401906Z hint: 	git config --global init.defaultBranch <name>
2025-10-10T00:34:24.5402162Z hint:
2025-10-10T00:34:24.5402418Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-10-10T00:34:24.5402827Z hint: 'development'. The just-created branch can be renamed via this command:
2025-10-10T00:34:24.5403136Z hint:
2025-10-10T00:34:24.5403311Z hint: 	git branch -m <name>
2025-10-10T00:34:24.5403517Z hint:
2025-10-10T00:34:24.5403809Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-10-10T00:34:24.5404359Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-10-10T00:34:24.5410265Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-10-10T00:34:24.5431822Z ##[endgroup]
2025-10-10T00:34:24.5432189Z ##[group]Disabling automatic garbage collection
2025-10-10T00:34:24.5435519Z [command]/usr/bin/git config --local gc.auto 0
2025-10-10T00:34:24.5462150Z ##[endgroup]
2025-10-10T00:34:24.5462808Z ##[group]Setting up auth
2025-10-10T00:34:24.5473426Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T00:34:24.5497381Z [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' || :"
2025-10-10T00:34:24.5805714Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-10-10T00:34:24.5830950Z [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' || :"
2025-10-10T00:34:24.6125980Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:34:24.6195679Z ##[endgroup]
2025-10-10T00:34:24.6196160Z ##[group]Fetching the repository
2025-10-10T00:34:24.6201669Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-10-10T00:35:13.7255435Z From https://github.com/pytorch/pytorch
2025-10-10T00:35:13.7259101Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-10-10T00:35:13.7259726Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-10-10T00:35:13.7260156Z  * [new branch]              BootcampDynamo              -> origin/BootcampDynamo
2025-10-10T00:35:13.7260511Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-10-10T00:35:13.7260875Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-10-10T00:35:13.7261280Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-10-10T00:35:13.7264490Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-10-10T00:35:13.7265089Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-10-10T00:35:13.7265530Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-10-10T00:35:13.7266408Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-10-10T00:35:13.7266829Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-10-10T00:35:13.7267285Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-10-10T00:35:13.7267696Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-10-10T00:35:13.7268108Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-10-10T00:35:13.7268525Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-10-10T00:35:13.7268958Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-10-10T00:35:13.7269361Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-10-10T00:35:13.7269808Z  * [new branch]              actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor
2025-10-10T00:35:13.7270288Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-10-10T00:35:13.7270646Z  * [new branch]              add_op_tests                -> origin/add_op_tests
2025-10-10T00:35:13.7270988Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-10-10T00:35:13.7271364Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-10-10T00:35:13.7271744Z  * [new branch]              addremovefunction           -> origin/addremovefunction
2025-10-10T00:35:13.7272093Z  * [new branch]              addvllmtest                 -> origin/addvllmtest
2025-10-10T00:35:13.7272426Z  * [new branch]              adi/test                    -> origin/adi/test
2025-10-10T00:35:13.7272897Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-10-10T00:35:13.7275462Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-10-10T00:35:13.7275973Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-10-10T00:35:13.7276795Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-10-10T00:35:13.7277199Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-10-10T00:35:13.7277566Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-10-10T00:35:13.7278242Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-10-10T00:35:13.7278647Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-10-10T00:35:13.7279052Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-10-10T00:35:13.7279694Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-10-10T00:35:13.7281526Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-10-10T00:35:13.7281977Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-10-10T00:35:13.7286443Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-10-10T00:35:13.7286931Z  * [new branch]              angelayi/benchmark3         -> origin/angelayi/benchmark3
2025-10-10T00:35:13.7287380Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-10-10T00:35:13.7287857Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-10-10T00:35:13.7288230Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-10-10T00:35:13.7288584Z  * [new branch]              angelayi/fix_mps            -> origin/angelayi/fix_mps
2025-10-10T00:35:13.7288928Z  * [new branch]              angelayi/lint               -> origin/angelayi/lint
2025-10-10T00:35:13.7289284Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-10-10T00:35:13.7289872Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-10-10T00:35:13.7290273Z  * [new branch]              angelayi/pattern            -> origin/angelayi/pattern
2025-10-10T00:35:13.7290650Z  * [new branch]              angelayi/pattern_in_out_2   -> origin/angelayi/pattern_in_out_2
2025-10-10T00:35:13.7291510Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-10-10T00:35:13.7292001Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-10-10T00:35:13.7292432Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-10-10T00:35:13.7293230Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
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2025-10-10T00:35:14.1777435Z  * [new branch]              xmfan/ca_fix_polyfills      -> origin/xmfan/ca_fix_polyfills
2025-10-10T00:35:14.1778532Z  * [new branch]              xmfan/ca_jan3               -> origin/xmfan/ca_jan3
2025-10-10T00:35:14.1779083Z  * [new branch]              xmfan/ca_jun18              -> origin/xmfan/ca_jun18
2025-10-10T00:35:14.1779513Z  * [new branch]              xmfan/ca_jun24              -> origin/xmfan/ca_jun24
2025-10-10T00:35:14.1780332Z  * [new branch]              xmfan/ca_mem_base           -> origin/xmfan/ca_mem_base
2025-10-10T00:35:14.1780879Z  * [new branch]              xmfan/ca_mem_fix            -> origin/xmfan/ca_mem_fix
2025-10-10T00:35:14.1781960Z  * [new branch]              xmfan/ca_move_to_cuda       -> origin/xmfan/ca_move_to_cuda
2025-10-10T00:35:14.1782330Z  * [new branch]              xmfan/ca_nested             -> origin/xmfan/ca_nested
2025-10-10T00:35:14.1783492Z  * [new branch]              xmfan/ca_overhead           -> origin/xmfan/ca_overhead
2025-10-10T00:35:14.1783976Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-10-10T00:35:14.1785017Z  * [new branch]              xmfan/ca_scalar             -> origin/xmfan/ca_scalar
2025-10-10T00:35:14.1785400Z  * [new branch]              xmfan/ca_subclass_mem_fix   -> origin/xmfan/ca_subclass_mem_fix
2025-10-10T00:35:14.1786984Z  * [new branch]              xmfan/ca_warm_mem           -> origin/xmfan/ca_warm_mem
2025-10-10T00:35:14.1787425Z  * [new branch]              xmfan/ca_warm_mem_base      -> origin/xmfan/ca_warm_mem_base
2025-10-10T00:35:14.1788691Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-10-10T00:35:14.1788958Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-10-10T00:35:14.1789521Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-10-10T00:35:14.1790455Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-10-10T00:35:14.1790814Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-10-10T00:35:14.1791974Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-10-10T00:35:14.1792458Z  * [new branch]              xmfan/issue_123374          -> origin/xmfan/issue_123374
2025-10-10T00:35:14.1793482Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:35:14.1793911Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:35:14.1794725Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-10-10T00:35:14.1795265Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-10-10T00:35:14.1796333Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-10-10T00:35:14.1797468Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-10-10T00:35:14.1798478Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-10-10T00:35:14.1799503Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-10-10T00:35:14.1799762Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-10-10T00:35:14.1800815Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-10-10T00:35:14.1801231Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-10-10T00:35:14.1805165Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-10-10T00:35:14.1805310Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-10-10T00:35:14.1805581Z  * [new branch]              ysiraichi/install-fmtlib-headers-v12 -> origin/ysiraichi/install-fmtlib-headers-v12
2025-10-10T00:35:14.1805735Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-10-10T00:35:14.1805912Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-10-10T00:35:14.1811922Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-10-10T00:35:14.1816046Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-10-10T00:35:14.1816225Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-10-10T00:35:14.1816414Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-10-10T00:35:14.1816547Z  * [new branch]              zb2p                        -> origin/zb2p
2025-10-10T00:35:14.1816722Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-10-10T00:35:14.1816982Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-10-10T00:35:14.1817188Z  * [new branch]              zhxchen17/precompile/source_info -> origin/zhxchen17/precompile/source_info
2025-10-10T00:35:14.1817348Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-10-10T00:35:14.1817499Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-10-10T00:35:14.1817808Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-10-10T00:35:14.1817967Z  * [new branch]              zxiiro/c7i-docs             -> origin/zxiiro/c7i-docs
2025-10-10T00:35:14.1818137Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-10-10T00:35:14.1818335Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-10-10T00:35:14.1818465Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-10-10T00:35:14.1818655Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-10-10T00:35:14.1818978Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-10-10T00:35:14.1820114Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-10-10T00:35:14.1820744Z  * [new tag]                 ciflow/b200-symm-mem/163767 -> ciflow/b200-symm-mem/163767
2025-10-10T00:35:14.1820959Z  * [new tag]                 ciflow/b200/163955          -> ciflow/b200/163955
2025-10-10T00:35:14.1821268Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-10-10T00:35:14.1821621Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-10-10T00:35:14.1822688Z  * [new tag]                 ciflow/binaries/164769      -> ciflow/binaries/164769
2025-10-10T00:35:14.1823280Z  * [new tag]                 ciflow/binaries/164894      -> ciflow/binaries/164894
2025-10-10T00:35:14.1827436Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-10-10T00:35:14.1830572Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-10-10T00:35:14.1830734Z  * [new tag]                 ciflow/binaries_wheel/159104 -> ciflow/binaries_wheel/159104
2025-10-10T00:35:14.1830874Z  * [new tag]                 ciflow/binaries_wheel/164935 -> ciflow/binaries_wheel/164935
2025-10-10T00:35:14.1831095Z  * [new tag]                 ciflow/h100-cutlass-backend/163767 -> ciflow/h100-cutlass-backend/163767
2025-10-10T00:35:14.1831266Z  * [new tag]                 ciflow/h100-cutlass-backend/164747 -> ciflow/h100-cutlass-backend/164747
2025-10-10T00:35:14.1831426Z  * [new tag]                 ciflow/h100-distributed/163767 -> ciflow/h100-distributed/163767
2025-10-10T00:35:14.1831572Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-10-10T00:35:14.1831713Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-10-10T00:35:14.1831840Z  * [new tag]                 ciflow/h100-symm-mem/163767 -> ciflow/h100-symm-mem/163767
2025-10-10T00:35:14.1831967Z  * [new tag]                 ciflow/h100-symm-mem/164747 -> ciflow/h100-symm-mem/164747
2025-10-10T00:35:14.1832101Z  * [new tag]                 ciflow/h100-symm-mem/164965 -> ciflow/h100-symm-mem/164965
2025-10-10T00:35:14.1832229Z  * [new tag]                 ciflow/h100-symm-mem/165101 -> ciflow/h100-symm-mem/165101
2025-10-10T00:35:14.1832352Z  * [new tag]                 ciflow/h100/163955          -> ciflow/h100/163955
2025-10-10T00:35:14.1832460Z  * [new tag]                 ciflow/h100/164474          -> ciflow/h100/164474
2025-10-10T00:35:14.1832571Z  * [new tag]                 ciflow/h100/164705          -> ciflow/h100/164705
2025-10-10T00:35:14.1832691Z  * [new tag]                 ciflow/h100/164790          -> ciflow/h100/164790
2025-10-10T00:35:14.1832800Z  * [new tag]                 ciflow/h100/164930          -> ciflow/h100/164930
2025-10-10T00:35:14.1833135Z  * [new tag]                 ciflow/h100/165055          -> ciflow/h100/165055
2025-10-10T00:35:14.1833341Z  * [new tag]                 ciflow/inductor-micro-benchmark/164747 -> ciflow/inductor-micro-benchmark/164747
2025-10-10T00:35:14.1833552Z  * [new tag]                 ciflow/inductor-perf-compare/163767 -> ciflow/inductor-perf-compare/163767
2025-10-10T00:35:14.1834207Z  * [new tag]                 ciflow/inductor-perf-compare/164747 -> ciflow/inductor-perf-compare/164747
2025-10-10T00:35:14.1834550Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-10-10T00:35:14.1837657Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/164747 -> ciflow/inductor-perf-test-nightly-rocm/164747
2025-10-10T00:35:14.1837979Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-10-10T00:35:14.1838270Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-10-10T00:35:14.1838544Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/163767 -> ciflow/inductor-perf-test-nightly-x86-zen/163767
2025-10-10T00:35:14.1838803Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-10-10T00:35:14.1839068Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164747 -> ciflow/inductor-perf-test-nightly-x86-zen/164747
2025-10-10T00:35:14.1839436Z  * [new tag]                 ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.1843819Z  * [new tag]                 ciflow/inductor-periodic/156592 -> ciflow/inductor-periodic/156592
2025-10-10T00:35:14.1845722Z  * [new tag]                 ciflow/inductor-periodic/164492 -> ciflow/inductor-periodic/164492
2025-10-10T00:35:14.1846135Z  * [new tag]                 ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.1846294Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-10-10T00:35:14.1846444Z  * [new tag]                 ciflow/inductor-rocm/161280 -> ciflow/inductor-rocm/161280
2025-10-10T00:35:14.1846714Z  * [new tag]                 ciflow/inductor-rocm/162478 -> ciflow/inductor-rocm/162478
2025-10-10T00:35:14.1849254Z  * [new tag]                 ciflow/inductor-rocm/163767 -> ciflow/inductor-rocm/163767
2025-10-10T00:35:14.1849495Z  * [new tag]                 ciflow/inductor-rocm/164618 -> ciflow/inductor-rocm/164618
2025-10-10T00:35:14.1849740Z  * [new tag]                 ciflow/inductor-rocm/164747 -> ciflow/inductor-rocm/164747
2025-10-10T00:35:14.1850034Z  * [new tag]                 ciflow/inductor-rocm/164769 -> ciflow/inductor-rocm/164769
2025-10-10T00:35:14.1850255Z  * [new tag]                 ciflow/inductor-rocm/165080 -> ciflow/inductor-rocm/165080
2025-10-10T00:35:14.1850490Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-10-10T00:35:14.1850644Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-10-10T00:35:14.1851232Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-10-10T00:35:14.1856304Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-10-10T00:35:14.1858293Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-10-10T00:35:14.1858531Z  * [new tag]                 ciflow/inductor/149003      -> ciflow/inductor/149003
2025-10-10T00:35:14.1859115Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-10-10T00:35:14.1859321Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-10-10T00:35:14.1859474Z  * [new tag]                 ciflow/inductor/156592      -> ciflow/inductor/156592
2025-10-10T00:35:14.1859608Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-10-10T00:35:14.1859750Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-10-10T00:35:14.1859886Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-10-10T00:35:14.1860188Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-10-10T00:35:14.1860331Z  * [new tag]                 ciflow/inductor/158872      -> ciflow/inductor/158872
2025-10-10T00:35:14.1860465Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-10-10T00:35:14.1860604Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-10-10T00:35:14.1860765Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-10-10T00:35:14.1860912Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-10-10T00:35:14.1861045Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-10-10T00:35:14.1861177Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-10-10T00:35:14.1861313Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-10-10T00:35:14.1861442Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-10-10T00:35:14.1861587Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-10-10T00:35:14.1861713Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-10-10T00:35:14.1861847Z  * [new tag]                 ciflow/inductor/160843      -> ciflow/inductor/160843
2025-10-10T00:35:14.1862003Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-10-10T00:35:14.1862202Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-10-10T00:35:14.1862341Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-10-10T00:35:14.1862656Z  * [new tag]                 ciflow/inductor/161280      -> ciflow/inductor/161280
2025-10-10T00:35:14.1862812Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-10-10T00:35:14.1862943Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-10-10T00:35:14.1863082Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-10-10T00:35:14.1863232Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-10-10T00:35:14.1863410Z  * [new tag]                 ciflow/inductor/162031      -> ciflow/inductor/162031
2025-10-10T00:35:14.1863917Z  * [new tag]                 ciflow/inductor/162066      -> ciflow/inductor/162066
2025-10-10T00:35:14.1864439Z  * [new tag]                 ciflow/inductor/162294      -> ciflow/inductor/162294
2025-10-10T00:35:14.1864881Z  * [new tag]                 ciflow/inductor/162340      -> ciflow/inductor/162340
2025-10-10T00:35:14.1865276Z  * [new tag]                 ciflow/inductor/162470      -> ciflow/inductor/162470
2025-10-10T00:35:14.1867355Z  * [new tag]                 ciflow/inductor/162523      -> ciflow/inductor/162523
2025-10-10T00:35:14.1867554Z  * [new tag]                 ciflow/inductor/162542      -> ciflow/inductor/162542
2025-10-10T00:35:14.1867690Z  * [new tag]                 ciflow/inductor/162768      -> ciflow/inductor/162768
2025-10-10T00:35:14.1867829Z  * [new tag]                 ciflow/inductor/162899      -> ciflow/inductor/162899
2025-10-10T00:35:14.1867966Z  * [new tag]                 ciflow/inductor/162900      -> ciflow/inductor/162900
2025-10-10T00:35:14.1868273Z  * [new tag]                 ciflow/inductor/162901      -> ciflow/inductor/162901
2025-10-10T00:35:14.1868786Z  * [new tag]                 ciflow/inductor/162903      -> ciflow/inductor/162903
2025-10-10T00:35:14.1869374Z  * [new tag]                 ciflow/inductor/162905      -> ciflow/inductor/162905
2025-10-10T00:35:14.1869711Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-10-10T00:35:14.1870138Z  * [new tag]                 ciflow/inductor/162990      -> ciflow/inductor/162990
2025-10-10T00:35:14.1870531Z  * [new tag]                 ciflow/inductor/163027      -> ciflow/inductor/163027
2025-10-10T00:35:14.1871016Z  * [new tag]                 ciflow/inductor/163028      -> ciflow/inductor/163028
2025-10-10T00:35:14.1871456Z  * [new tag]                 ciflow/inductor/163053      -> ciflow/inductor/163053
2025-10-10T00:35:14.1871956Z  * [new tag]                 ciflow/inductor/163185      -> ciflow/inductor/163185
2025-10-10T00:35:14.1872469Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-10-10T00:35:14.1872929Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-10-10T00:35:14.1873414Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-10-10T00:35:14.1878068Z  * [new tag]                 ciflow/inductor/163517      -> ciflow/inductor/163517
2025-10-10T00:35:14.1878233Z  * [new tag]                 ciflow/inductor/163527      -> ciflow/inductor/163527
2025-10-10T00:35:14.1878728Z  * [new tag]                 ciflow/inductor/163533      -> ciflow/inductor/163533
2025-10-10T00:35:14.1878892Z  * [new tag]                 ciflow/inductor/163602      -> ciflow/inductor/163602
2025-10-10T00:35:14.1879030Z  * [new tag]                 ciflow/inductor/163617      -> ciflow/inductor/163617
2025-10-10T00:35:14.1879252Z  * [new tag]                 ciflow/inductor/163667      -> ciflow/inductor/163667
2025-10-10T00:35:14.1879436Z  * [new tag]                 ciflow/inductor/163671      -> ciflow/inductor/163671
2025-10-10T00:35:14.1879726Z  * [new tag]                 ciflow/inductor/163767      -> ciflow/inductor/163767
2025-10-10T00:35:14.1879863Z  * [new tag]                 ciflow/inductor/163772      -> ciflow/inductor/163772
2025-10-10T00:35:14.1879995Z  * [new tag]                 ciflow/inductor/163806      -> ciflow/inductor/163806
2025-10-10T00:35:14.1880140Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-10-10T00:35:14.1880279Z  * [new tag]                 ciflow/inductor/163976      -> ciflow/inductor/163976
2025-10-10T00:35:14.1880416Z  * [new tag]                 ciflow/inductor/164039      -> ciflow/inductor/164039
2025-10-10T00:35:14.1880845Z  * [new tag]                 ciflow/inductor/164040      -> ciflow/inductor/164040
2025-10-10T00:35:14.1883886Z  * [new tag]                 ciflow/inductor/164130      -> ciflow/inductor/164130
2025-10-10T00:35:14.1884213Z  * [new tag]                 ciflow/inductor/164144      -> ciflow/inductor/164144
2025-10-10T00:35:14.1884467Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-10-10T00:35:14.1884679Z  * [new tag]                 ciflow/inductor/164212      -> ciflow/inductor/164212
2025-10-10T00:35:14.1885375Z  * [new tag]                 ciflow/inductor/164273      -> ciflow/inductor/164273
2025-10-10T00:35:14.1885548Z  * [new tag]                 ciflow/inductor/164277      -> ciflow/inductor/164277
2025-10-10T00:35:14.1885692Z  * [new tag]                 ciflow/inductor/164291      -> ciflow/inductor/164291
2025-10-10T00:35:14.1885846Z  * [new tag]                 ciflow/inductor/164296      -> ciflow/inductor/164296
2025-10-10T00:35:14.1885981Z  * [new tag]                 ciflow/inductor/164304      -> ciflow/inductor/164304
2025-10-10T00:35:14.1886136Z  * [new tag]                 ciflow/inductor/164318      -> ciflow/inductor/164318
2025-10-10T00:35:14.1886472Z  * [new tag]                 ciflow/inductor/164321      -> ciflow/inductor/164321
2025-10-10T00:35:14.1886758Z  * [new tag]                 ciflow/inductor/164324      -> ciflow/inductor/164324
2025-10-10T00:35:14.1888591Z  * [new tag]                 ciflow/inductor/164341      -> ciflow/inductor/164341
2025-10-10T00:35:14.1888741Z  * [new tag]                 ciflow/inductor/164343      -> ciflow/inductor/164343
2025-10-10T00:35:14.1888954Z  * [new tag]                 ciflow/inductor/164344      -> ciflow/inductor/164344
2025-10-10T00:35:14.1889101Z  * [new tag]                 ciflow/inductor/164359      -> ciflow/inductor/164359
2025-10-10T00:35:14.1889378Z  * [new tag]                 ciflow/inductor/164373      -> ciflow/inductor/164373
2025-10-10T00:35:14.1892262Z  * [new tag]                 ciflow/inductor/164379      -> ciflow/inductor/164379
2025-10-10T00:35:14.1892596Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-10-10T00:35:14.1892778Z  * [new tag]                 ciflow/inductor/164404      -> ciflow/inductor/164404
2025-10-10T00:35:14.1893015Z  * [new tag]                 ciflow/inductor/164405      -> ciflow/inductor/164405
2025-10-10T00:35:14.1893215Z  * [new tag]                 ciflow/inductor/164414      -> ciflow/inductor/164414
2025-10-10T00:35:14.1893391Z  * [new tag]                 ciflow/inductor/164422      -> ciflow/inductor/164422
2025-10-10T00:35:14.1893534Z  * [new tag]                 ciflow/inductor/164433      -> ciflow/inductor/164433
2025-10-10T00:35:14.1893762Z  * [new tag]                 ciflow/inductor/164474      -> ciflow/inductor/164474
2025-10-10T00:35:14.1893911Z  * [new tag]                 ciflow/inductor/164488      -> ciflow/inductor/164488
2025-10-10T00:35:14.1896074Z  * [new tag]                 ciflow/inductor/164492      -> ciflow/inductor/164492
2025-10-10T00:35:14.1896240Z  * [new tag]                 ciflow/inductor/164497      -> ciflow/inductor/164497
2025-10-10T00:35:14.1896387Z  * [new tag]                 ciflow/inductor/164498      -> ciflow/inductor/164498
2025-10-10T00:35:14.1896522Z  * [new tag]                 ciflow/inductor/164500      -> ciflow/inductor/164500
2025-10-10T00:35:14.1896834Z  * [new tag]                 ciflow/inductor/164507      -> ciflow/inductor/164507
2025-10-10T00:35:14.1897014Z  * [new tag]                 ciflow/inductor/164519      -> ciflow/inductor/164519
2025-10-10T00:35:14.1897775Z  * [new tag]                 ciflow/inductor/164521      -> ciflow/inductor/164521
2025-10-10T00:35:14.1898224Z  * [new tag]                 ciflow/inductor/164522      -> ciflow/inductor/164522
2025-10-10T00:35:14.1898779Z  * [new tag]                 ciflow/inductor/164523      -> ciflow/inductor/164523
2025-10-10T00:35:14.1899138Z  * [new tag]                 ciflow/inductor/164524      -> ciflow/inductor/164524
2025-10-10T00:35:14.1899682Z  * [new tag]                 ciflow/inductor/164525      -> ciflow/inductor/164525
2025-10-10T00:35:14.1900118Z  * [new tag]                 ciflow/inductor/164526      -> ciflow/inductor/164526
2025-10-10T00:35:14.1901158Z  * [new tag]                 ciflow/inductor/164527      -> ciflow/inductor/164527
2025-10-10T00:35:14.1901421Z  * [new tag]                 ciflow/inductor/164533      -> ciflow/inductor/164533
2025-10-10T00:35:14.1901822Z  * [new tag]                 ciflow/inductor/164537      -> ciflow/inductor/164537
2025-10-10T00:35:14.1902313Z  * [new tag]                 ciflow/inductor/164548      -> ciflow/inductor/164548
2025-10-10T00:35:14.1903462Z  * [new tag]                 ciflow/inductor/164557      -> ciflow/inductor/164557
2025-10-10T00:35:14.1903745Z  * [new tag]                 ciflow/inductor/164558      -> ciflow/inductor/164558
2025-10-10T00:35:14.1903895Z  * [new tag]                 ciflow/inductor/164560      -> ciflow/inductor/164560
2025-10-10T00:35:14.1904490Z  * [new tag]                 ciflow/inductor/164565      -> ciflow/inductor/164565
2025-10-10T00:35:14.1904847Z  * [new tag]                 ciflow/inductor/164577      -> ciflow/inductor/164577
2025-10-10T00:35:14.1905889Z  * [new tag]                 ciflow/inductor/164609      -> ciflow/inductor/164609
2025-10-10T00:35:14.1906340Z  * [new tag]                 ciflow/inductor/164610      -> ciflow/inductor/164610
2025-10-10T00:35:14.1906501Z  * [new tag]                 ciflow/inductor/164611      -> ciflow/inductor/164611
2025-10-10T00:35:14.1907368Z  * [new tag]                 ciflow/inductor/164612      -> ciflow/inductor/164612
2025-10-10T00:35:14.1907664Z  * [new tag]                 ciflow/inductor/164613      -> ciflow/inductor/164613
2025-10-10T00:35:14.1908206Z  * [new tag]                 ciflow/inductor/164614      -> ciflow/inductor/164614
2025-10-10T00:35:14.1908511Z  * [new tag]                 ciflow/inductor/164623      -> ciflow/inductor/164623
2025-10-10T00:35:14.1909281Z  * [new tag]                 ciflow/inductor/164626      -> ciflow/inductor/164626
2025-10-10T00:35:14.1909614Z  * [new tag]                 ciflow/inductor/164628      -> ciflow/inductor/164628
2025-10-10T00:35:14.1910058Z  * [new tag]                 ciflow/inductor/164631      -> ciflow/inductor/164631
2025-10-10T00:35:14.1910849Z  * [new tag]                 ciflow/inductor/164632      -> ciflow/inductor/164632
2025-10-10T00:35:14.1911362Z  * [new tag]                 ciflow/inductor/164633      -> ciflow/inductor/164633
2025-10-10T00:35:14.1911742Z  * [new tag]                 ciflow/inductor/164640      -> ciflow/inductor/164640
2025-10-10T00:35:14.1912719Z  * [new tag]                 ciflow/inductor/164641      -> ciflow/inductor/164641
2025-10-10T00:35:14.1913172Z  * [new tag]                 ciflow/inductor/164645      -> ciflow/inductor/164645
2025-10-10T00:35:14.1913722Z  * [new tag]                 ciflow/inductor/164648      -> ciflow/inductor/164648
2025-10-10T00:35:14.1914880Z  * [new tag]                 ciflow/inductor/164653      -> ciflow/inductor/164653
2025-10-10T00:35:14.1915104Z  * [new tag]                 ciflow/inductor/164655      -> ciflow/inductor/164655
2025-10-10T00:35:14.1915379Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-10-10T00:35:14.1916988Z  * [new tag]                 ciflow/inductor/164659      -> ciflow/inductor/164659
2025-10-10T00:35:14.1917140Z  * [new tag]                 ciflow/inductor/164669      -> ciflow/inductor/164669
2025-10-10T00:35:14.1917280Z  * [new tag]                 ciflow/inductor/164690      -> ciflow/inductor/164690
2025-10-10T00:35:14.1917556Z  * [new tag]                 ciflow/inductor/164691      -> ciflow/inductor/164691
2025-10-10T00:35:14.1919332Z  * [new tag]                 ciflow/inductor/164692      -> ciflow/inductor/164692
2025-10-10T00:35:14.1919500Z  * [new tag]                 ciflow/inductor/164711      -> ciflow/inductor/164711
2025-10-10T00:35:14.1919632Z  * [new tag]                 ciflow/inductor/164714      -> ciflow/inductor/164714
2025-10-10T00:35:14.1920070Z  * [new tag]                 ciflow/inductor/164717      -> ciflow/inductor/164717
2025-10-10T00:35:14.1921198Z  * [new tag]                 ciflow/inductor/164718      -> ciflow/inductor/164718
2025-10-10T00:35:14.1921381Z  * [new tag]                 ciflow/inductor/164723      -> ciflow/inductor/164723
2025-10-10T00:35:14.1921674Z  * [new tag]                 ciflow/inductor/164724      -> ciflow/inductor/164724
2025-10-10T00:35:14.1922377Z  * [new tag]                 ciflow/inductor/164734      -> ciflow/inductor/164734
2025-10-10T00:35:14.1922592Z  * [new tag]                 ciflow/inductor/164740      -> ciflow/inductor/164740
2025-10-10T00:35:14.1923776Z  * [new tag]                 ciflow/inductor/164746      -> ciflow/inductor/164746
2025-10-10T00:35:14.1923905Z  * [new tag]                 ciflow/inductor/164747      -> ciflow/inductor/164747
2025-10-10T00:35:14.1924237Z  * [new tag]                 ciflow/inductor/164776      -> ciflow/inductor/164776
2025-10-10T00:35:14.1925079Z  * [new tag]                 ciflow/inductor/164778      -> ciflow/inductor/164778
2025-10-10T00:35:14.1925416Z  * [new tag]                 ciflow/inductor/164780      -> ciflow/inductor/164780
2025-10-10T00:35:14.1925949Z  * [new tag]                 ciflow/inductor/164794      -> ciflow/inductor/164794
2025-10-10T00:35:14.1926343Z  * [new tag]                 ciflow/inductor/164802      -> ciflow/inductor/164802
2025-10-10T00:35:14.1926885Z  * [new tag]                 ciflow/inductor/164806      -> ciflow/inductor/164806
2025-10-10T00:35:14.1927950Z  * [new tag]                 ciflow/inductor/164808      -> ciflow/inductor/164808
2025-10-10T00:35:14.1928213Z  * [new tag]                 ciflow/inductor/164810      -> ciflow/inductor/164810
2025-10-10T00:35:14.1928532Z  * [new tag]                 ciflow/inductor/164811      -> ciflow/inductor/164811
2025-10-10T00:35:14.1929107Z  * [new tag]                 ciflow/inductor/164812      -> ciflow/inductor/164812
2025-10-10T00:35:14.1929810Z  * [new tag]                 ciflow/inductor/164819      -> ciflow/inductor/164819
2025-10-10T00:35:14.1930283Z  * [new tag]                 ciflow/inductor/164820      -> ciflow/inductor/164820
2025-10-10T00:35:14.1930538Z  * [new tag]                 ciflow/inductor/164821      -> ciflow/inductor/164821
2025-10-10T00:35:14.1931448Z  * [new tag]                 ciflow/inductor/164839      -> ciflow/inductor/164839
2025-10-10T00:35:14.1931593Z  * [new tag]                 ciflow/inductor/164842      -> ciflow/inductor/164842
2025-10-10T00:35:14.1934400Z  * [new tag]                 ciflow/inductor/164847      -> ciflow/inductor/164847
2025-10-10T00:35:14.1934686Z  * [new tag]                 ciflow/inductor/164852      -> ciflow/inductor/164852
2025-10-10T00:35:14.1934846Z  * [new tag]                 ciflow/inductor/164863      -> ciflow/inductor/164863
2025-10-10T00:35:14.1934977Z  * [new tag]                 ciflow/inductor/164865      -> ciflow/inductor/164865
2025-10-10T00:35:14.1935097Z  * [new tag]                 ciflow/inductor/164866      -> ciflow/inductor/164866
2025-10-10T00:35:14.1935219Z  * [new tag]                 ciflow/inductor/164867      -> ciflow/inductor/164867
2025-10-10T00:35:14.1935350Z  * [new tag]                 ciflow/inductor/164869      -> ciflow/inductor/164869
2025-10-10T00:35:14.1935648Z  * [new tag]                 ciflow/inductor/164873      -> ciflow/inductor/164873
2025-10-10T00:35:14.1935916Z  * [new tag]                 ciflow/inductor/164889      -> ciflow/inductor/164889
2025-10-10T00:35:14.1936637Z  * [new tag]                 ciflow/inductor/164897      -> ciflow/inductor/164897
2025-10-10T00:35:14.1936945Z  * [new tag]                 ciflow/inductor/164902      -> ciflow/inductor/164902
2025-10-10T00:35:14.1937489Z  * [new tag]                 ciflow/inductor/164903      -> ciflow/inductor/164903
2025-10-10T00:35:14.1937996Z  * [new tag]                 ciflow/inductor/164906      -> ciflow/inductor/164906
2025-10-10T00:35:14.1938316Z  * [new tag]                 ciflow/inductor/164914      -> ciflow/inductor/164914
2025-10-10T00:35:14.1938962Z  * [new tag]                 ciflow/inductor/164919      -> ciflow/inductor/164919
2025-10-10T00:35:14.1939303Z  * [new tag]                 ciflow/inductor/164933      -> ciflow/inductor/164933
2025-10-10T00:35:14.1940426Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-10-10T00:35:14.1940654Z  * [new tag]                 ciflow/inductor/164948      -> ciflow/inductor/164948
2025-10-10T00:35:14.1941022Z  * [new tag]                 ciflow/inductor/164956      -> ciflow/inductor/164956
2025-10-10T00:35:14.1941609Z  * [new tag]                 ciflow/inductor/164965      -> ciflow/inductor/164965
2025-10-10T00:35:14.1943050Z  * [new tag]                 ciflow/inductor/164978      -> ciflow/inductor/164978
2025-10-10T00:35:14.1943348Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-10-10T00:35:14.1943482Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-10-10T00:35:14.1948404Z  * [new tag]                 ciflow/inductor/164984      -> ciflow/inductor/164984
2025-10-10T00:35:14.1948557Z  * [new tag]                 ciflow/inductor/164989      -> ciflow/inductor/164989
2025-10-10T00:35:14.1948706Z  * [new tag]                 ciflow/inductor/164991      -> ciflow/inductor/164991
2025-10-10T00:35:14.1948836Z  * [new tag]                 ciflow/inductor/164992      -> ciflow/inductor/164992
2025-10-10T00:35:14.1948971Z  * [new tag]                 ciflow/inductor/164994      -> ciflow/inductor/164994
2025-10-10T00:35:14.1949096Z  * [new tag]                 ciflow/inductor/164999      -> ciflow/inductor/164999
2025-10-10T00:35:14.1949315Z  * [new tag]                 ciflow/inductor/165001      -> ciflow/inductor/165001
2025-10-10T00:35:14.1949446Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-10-10T00:35:14.1949570Z  * [new tag]                 ciflow/inductor/165006      -> ciflow/inductor/165006
2025-10-10T00:35:14.1949703Z  * [new tag]                 ciflow/inductor/165010      -> ciflow/inductor/165010
2025-10-10T00:35:14.1949829Z  * [new tag]                 ciflow/inductor/165012      -> ciflow/inductor/165012
2025-10-10T00:35:14.1952156Z  * [new tag]                 ciflow/inductor/165017      -> ciflow/inductor/165017
2025-10-10T00:35:14.1952342Z  * [new tag]                 ciflow/inductor/165018      -> ciflow/inductor/165018
2025-10-10T00:35:14.1952478Z  * [new tag]                 ciflow/inductor/165024      -> ciflow/inductor/165024
2025-10-10T00:35:14.1952624Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-10-10T00:35:14.1952765Z  * [new tag]                 ciflow/inductor/165030      -> ciflow/inductor/165030
2025-10-10T00:35:14.1952910Z  * [new tag]                 ciflow/inductor/165031      -> ciflow/inductor/165031
2025-10-10T00:35:14.1953063Z  * [new tag]                 ciflow/inductor/165033      -> ciflow/inductor/165033
2025-10-10T00:35:14.1953428Z  * [new tag]                 ciflow/inductor/165036      -> ciflow/inductor/165036
2025-10-10T00:35:14.1957886Z  * [new tag]                 ciflow/inductor/165037      -> ciflow/inductor/165037
2025-10-10T00:35:14.1961336Z  * [new tag]                 ciflow/inductor/165039      -> ciflow/inductor/165039
2025-10-10T00:35:14.1961662Z  * [new tag]                 ciflow/inductor/165047      -> ciflow/inductor/165047
2025-10-10T00:35:14.1961803Z  * [new tag]                 ciflow/inductor/165059      -> ciflow/inductor/165059
2025-10-10T00:35:14.1961938Z  * [new tag]                 ciflow/inductor/165063      -> ciflow/inductor/165063
2025-10-10T00:35:14.1962069Z  * [new tag]                 ciflow/inductor/165064      -> ciflow/inductor/165064
2025-10-10T00:35:14.1962214Z  * [new tag]                 ciflow/inductor/165066      -> ciflow/inductor/165066
2025-10-10T00:35:14.1962346Z  * [new tag]                 ciflow/inductor/165074      -> ciflow/inductor/165074
2025-10-10T00:35:14.1962475Z  * [new tag]                 ciflow/inductor/165076      -> ciflow/inductor/165076
2025-10-10T00:35:14.1962613Z  * [new tag]                 ciflow/inductor/165091      -> ciflow/inductor/165091
2025-10-10T00:35:14.1962741Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-10-10T00:35:14.1962873Z  * [new tag]                 ciflow/inductor/165106      -> ciflow/inductor/165106
2025-10-10T00:35:14.1963001Z  * [new tag]                 ciflow/inductor/165107      -> ciflow/inductor/165107
2025-10-10T00:35:14.1965424Z  * [new tag]                 ciflow/inductor/165112      -> ciflow/inductor/165112
2025-10-10T00:35:14.1965600Z  * [new tag]                 ciflow/inductor/165113      -> ciflow/inductor/165113
2025-10-10T00:35:14.1966254Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-10-10T00:35:14.1966431Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-10-10T00:35:14.1966767Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-10-10T00:35:14.1966938Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-10-10T00:35:14.1967091Z  * [new tag]                 ciflow/linux-aarch64/163952 -> ciflow/linux-aarch64/163952
2025-10-10T00:35:14.1970651Z  * [new tag]                 ciflow/linux-aarch64/164965 -> ciflow/linux-aarch64/164965
2025-10-10T00:35:14.1970798Z  * [new tag]                 ciflow/linux-aarch64/165010 -> ciflow/linux-aarch64/165010
2025-10-10T00:35:14.1970930Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-10-10T00:35:14.1971045Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-10-10T00:35:14.1971220Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-10-10T00:35:14.1971347Z  * [new tag]                 ciflow/mps/162340           -> ciflow/mps/162340
2025-10-10T00:35:14.1971459Z  * [new tag]                 ciflow/mps/164416           -> ciflow/mps/164416
2025-10-10T00:35:14.1971576Z  * [new tag]                 ciflow/mps/164571           -> ciflow/mps/164571
2025-10-10T00:35:14.1971686Z  * [new tag]                 ciflow/mps/164965           -> ciflow/mps/164965
2025-10-10T00:35:14.1971835Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-10-10T00:35:14.1975297Z  * [new tag]                 ciflow/nightly/164747       -> ciflow/nightly/164747
2025-10-10T00:35:14.1975475Z  * [new tag]                 ciflow/nightly/164901       -> ciflow/nightly/164901
2025-10-10T00:35:14.1975640Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-10-10T00:35:14.1975810Z  * [new tag]                 ciflow/op-benchmark/163767  -> ciflow/op-benchmark/163767
2025-10-10T00:35:14.1975971Z  * [new tag]                 ciflow/op-benchmark/164583  -> ciflow/op-benchmark/164583
2025-10-10T00:35:14.1976134Z  * [new tag]                 ciflow/op-benchmark/164747  -> ciflow/op-benchmark/164747
2025-10-10T00:35:14.1976343Z  * [new tag]                 ciflow/periodic-rocm-mi300/162478 -> ciflow/periodic-rocm-mi300/162478
2025-10-10T00:35:14.1976535Z  * [new tag]                 ciflow/periodic-rocm-mi300/163767 -> ciflow/periodic-rocm-mi300/163767
2025-10-10T00:35:14.1976889Z  * [new tag]                 ciflow/periodic-rocm-mi300/164618 -> ciflow/periodic-rocm-mi300/164618
2025-10-10T00:35:14.1977075Z  * [new tag]                 ciflow/periodic-rocm-mi300/164747 -> ciflow/periodic-rocm-mi300/164747
2025-10-10T00:35:14.1977272Z  * [new tag]                 ciflow/periodic-rocm-mi300/165011 -> ciflow/periodic-rocm-mi300/165011
2025-10-10T00:35:14.1977512Z  * [new tag]                 ciflow/periodic-rocm-mi300/165080 -> ciflow/periodic-rocm-mi300/165080
2025-10-10T00:35:14.1977665Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-10-10T00:35:14.1977984Z  * [new tag]                 ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.1978298Z  * [new tag]                 ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 -> ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456
2025-10-10T00:35:14.1978451Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-10-10T00:35:14.1978579Z  * [new tag]                 ciflow/periodic/162990      -> ciflow/periodic/162990
2025-10-10T00:35:14.1978723Z  * [new tag]                 ciflow/periodic/163667      -> ciflow/periodic/163667
2025-10-10T00:35:14.1978865Z  * [new tag]                 ciflow/periodic/163767      -> ciflow/periodic/163767
2025-10-10T00:35:14.1979000Z  * [new tag]                 ciflow/periodic/164747      -> ciflow/periodic/164747
2025-10-10T00:35:14.1979133Z  * [new tag]                 ciflow/periodic/164769      -> ciflow/periodic/164769
2025-10-10T00:35:14.1979261Z  * [new tag]                 ciflow/periodic/165011      -> ciflow/periodic/165011
2025-10-10T00:35:14.1979647Z  * [new tag]                 ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:35:14.1980312Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-10-10T00:35:14.1981597Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-10-10T00:35:14.1982247Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-10-10T00:35:14.1982780Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-10-10T00:35:14.1983287Z  * [new tag]                 ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 -> ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:35:14.1983707Z  * [new tag]                 ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.1987498Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-10-10T00:35:14.1987859Z  * [new tag]                 ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b -> ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:35:14.1988155Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-10-10T00:35:14.1988358Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-10-10T00:35:14.1988609Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-10-10T00:35:14.1988782Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-10-10T00:35:14.1989560Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-10-10T00:35:14.1995729Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-10-10T00:35:14.1996018Z  * [new tag]                 ciflow/quantization-periodic/163767 -> ciflow/quantization-periodic/163767
2025-10-10T00:35:14.1996388Z  * [new tag]                 ciflow/quantization-periodic/164747 -> ciflow/quantization-periodic/164747
2025-10-10T00:35:14.1996533Z  * [new tag]                 ciflow/riscv64/163767       -> ciflow/riscv64/163767
2025-10-10T00:35:14.1996749Z  * [new tag]                 ciflow/riscv64/164747       -> ciflow/riscv64/164747
2025-10-10T00:35:14.1996894Z  * [new tag]                 ciflow/rocm-mi300/161280    -> ciflow/rocm-mi300/161280
2025-10-10T00:35:14.1997034Z  * [new tag]                 ciflow/rocm-mi300/162478    -> ciflow/rocm-mi300/162478
2025-10-10T00:35:14.1997166Z  * [new tag]                 ciflow/rocm-mi300/163767    -> ciflow/rocm-mi300/163767
2025-10-10T00:35:14.1997313Z  * [new tag]                 ciflow/rocm-mi300/163955    -> ciflow/rocm-mi300/163955
2025-10-10T00:35:14.1997447Z  * [new tag]                 ciflow/rocm-mi300/164618    -> ciflow/rocm-mi300/164618
2025-10-10T00:35:14.1997571Z  * [new tag]                 ciflow/rocm-mi300/164747    -> ciflow/rocm-mi300/164747
2025-10-10T00:35:14.1997702Z  * [new tag]                 ciflow/rocm-mi300/164927    -> ciflow/rocm-mi300/164927
2025-10-10T00:35:14.1997830Z  * [new tag]                 ciflow/rocm-mi300/164930    -> ciflow/rocm-mi300/164930
2025-10-10T00:35:14.1997973Z  * [new tag]                 ciflow/rocm-mi300/165026    -> ciflow/rocm-mi300/165026
2025-10-10T00:35:14.1998100Z  * [new tag]                 ciflow/rocm-mi300/165080    -> ciflow/rocm-mi300/165080
2025-10-10T00:35:14.1998228Z  * [new tag]                 ciflow/rocm-mi355/163767    -> ciflow/rocm-mi355/163767
2025-10-10T00:35:14.1998367Z  * [new tag]                 ciflow/rocm-mi355/164747    -> ciflow/rocm-mi355/164747
2025-10-10T00:35:14.1998496Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-10-10T00:35:14.1998627Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-10-10T00:35:14.1998756Z  * [new tag]                 ciflow/rocm/156592          -> ciflow/rocm/156592
2025-10-10T00:35:14.1998879Z  * [new tag]                 ciflow/rocm/161280          -> ciflow/rocm/161280
2025-10-10T00:35:14.1998995Z  * [new tag]                 ciflow/rocm/163767          -> ciflow/rocm/163767
2025-10-10T00:35:14.1999113Z  * [new tag]                 ciflow/rocm/163955          -> ciflow/rocm/163955
2025-10-10T00:35:14.1999243Z  * [new tag]                 ciflow/rocm/163965          -> ciflow/rocm/163965
2025-10-10T00:35:14.1999358Z  * [new tag]                 ciflow/rocm/164656          -> ciflow/rocm/164656
2025-10-10T00:35:14.2003080Z  * [new tag]                 ciflow/rocm/164747          -> ciflow/rocm/164747
2025-10-10T00:35:14.2003459Z  * [new tag]                 ciflow/rocm/164769          -> ciflow/rocm/164769
2025-10-10T00:35:14.2003587Z  * [new tag]                 ciflow/rocm/164927          -> ciflow/rocm/164927
2025-10-10T00:35:14.2003715Z  * [new tag]                 ciflow/rocm/164930          -> ciflow/rocm/164930
2025-10-10T00:35:14.2003829Z  * [new tag]                 ciflow/rocm/165026          -> ciflow/rocm/165026
2025-10-10T00:35:14.2003953Z  * [new tag]                 ciflow/rocm/165103          -> ciflow/rocm/165103
2025-10-10T00:35:14.2004069Z  * [new tag]                 ciflow/s390/164747          -> ciflow/s390/164747
2025-10-10T00:35:14.2004188Z  * [new tag]                 ciflow/s390/164917          -> ciflow/s390/164917
2025-10-10T00:35:14.2004311Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-10-10T00:35:14.2004435Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-10-10T00:35:14.2007835Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-10-10T00:35:14.2007998Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-10-10T00:35:14.2008132Z  * [new tag]                 ciflow/slow/163767          -> ciflow/slow/163767
2025-10-10T00:35:14.2008249Z  * [new tag]                 ciflow/slow/164747          -> ciflow/slow/164747
2025-10-10T00:35:14.2008370Z  * [new tag]                 ciflow/slow/164769          -> ciflow/slow/164769
2025-10-10T00:35:14.2008538Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-10-10T00:35:14.2008669Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-10-10T00:35:14.2008787Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-10-10T00:35:14.2011958Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-10-10T00:35:14.2012572Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-10-10T00:35:14.2012942Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-10-10T00:35:14.2013087Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-10-10T00:35:14.2013223Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-10-10T00:35:14.2013543Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-10-10T00:35:14.2013696Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-10-10T00:35:14.2013819Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-10-10T00:35:14.2013945Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-10-10T00:35:14.2016203Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-10-10T00:35:14.2016342Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-10-10T00:35:14.2016779Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-10-10T00:35:14.2016942Z  * [new tag]                 ciflow/torchbench/164747    -> ciflow/torchbench/164747
2025-10-10T00:35:14.2017080Z  * [new tag]                 ciflow/trunk/113258         -> ciflow/trunk/113258
2025-10-10T00:35:14.2017200Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-10-10T00:35:14.2017460Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-10-10T00:35:14.2017728Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-10-10T00:35:14.2018189Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-10-10T00:35:14.2018740Z  * [new tag]                 ciflow/trunk/149003         -> ciflow/trunk/149003
2025-10-10T00:35:14.2019142Z  * [new tag]                 ciflow/trunk/149536         -> ciflow/trunk/149536
2025-10-10T00:35:14.2019717Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-10-10T00:35:14.2020780Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-10-10T00:35:14.2021398Z  * [new tag]                 ciflow/trunk/154279         -> ciflow/trunk/154279
2025-10-10T00:35:14.2021573Z  * [new tag]                 ciflow/trunk/154983         -> ciflow/trunk/154983
2025-10-10T00:35:14.2021963Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-10-10T00:35:14.2022896Z  * [new tag]                 ciflow/trunk/156592         -> ciflow/trunk/156592
2025-10-10T00:35:14.2023242Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-10-10T00:35:14.2023693Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-10-10T00:35:14.2026245Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-10-10T00:35:14.2026418Z  * [new tag]                 ciflow/trunk/159104         -> ciflow/trunk/159104
2025-10-10T00:35:14.2026550Z  * [new tag]                 ciflow/trunk/160266         -> ciflow/trunk/160266
2025-10-10T00:35:14.2026682Z  * [new tag]                 ciflow/trunk/160328         -> ciflow/trunk/160328
2025-10-10T00:35:14.2026804Z  * [new tag]                 ciflow/trunk/160329         -> ciflow/trunk/160329
2025-10-10T00:35:14.2027341Z  * [new tag]                 ciflow/trunk/160539         -> ciflow/trunk/160539
2025-10-10T00:35:14.2027628Z  * [new tag]                 ciflow/trunk/160610         -> ciflow/trunk/160610
2025-10-10T00:35:14.2027830Z  * [new tag]                 ciflow/trunk/160843         -> ciflow/trunk/160843
2025-10-10T00:35:14.2028289Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-10-10T00:35:14.2029797Z  * [new tag]                 ciflow/trunk/161320         -> ciflow/trunk/161320
2025-10-10T00:35:14.2030005Z  * [new tag]                 ciflow/trunk/162031         -> ciflow/trunk/162031
2025-10-10T00:35:14.2030203Z  * [new tag]                 ciflow/trunk/162066         -> ciflow/trunk/162066
2025-10-10T00:35:14.2030341Z  * [new tag]                 ciflow/trunk/162203         -> ciflow/trunk/162203
2025-10-10T00:35:14.2030734Z  * [new tag]                 ciflow/trunk/162340         -> ciflow/trunk/162340
2025-10-10T00:35:14.2031134Z  * [new tag]                 ciflow/trunk/162542         -> ciflow/trunk/162542
2025-10-10T00:35:14.2032684Z  * [new tag]                 ciflow/trunk/162899         -> ciflow/trunk/162899
2025-10-10T00:35:14.2032981Z  * [new tag]                 ciflow/trunk/163034         -> ciflow/trunk/163034
2025-10-10T00:35:14.2033107Z  * [new tag]                 ciflow/trunk/163332         -> ciflow/trunk/163332
2025-10-10T00:35:14.2033423Z  * [new tag]                 ciflow/trunk/163446         -> ciflow/trunk/163446
2025-10-10T00:35:14.2035620Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-10-10T00:35:14.2035933Z  * [new tag]                 ciflow/trunk/163527         -> ciflow/trunk/163527
2025-10-10T00:35:14.2036069Z  * [new tag]                 ciflow/trunk/163533         -> ciflow/trunk/163533
2025-10-10T00:35:14.2036264Z  * [new tag]                 ciflow/trunk/163671         -> ciflow/trunk/163671
2025-10-10T00:35:14.2036504Z  * [new tag]                 ciflow/trunk/163767         -> ciflow/trunk/163767
2025-10-10T00:35:14.2036632Z  * [new tag]                 ciflow/trunk/163846         -> ciflow/trunk/163846
2025-10-10T00:35:14.2036768Z  * [new tag]                 ciflow/trunk/163899         -> ciflow/trunk/163899
2025-10-10T00:35:14.2037483Z  * [new tag]                 ciflow/trunk/163955         -> ciflow/trunk/163955
2025-10-10T00:35:14.2037684Z  * [new tag]                 ciflow/trunk/163976         -> ciflow/trunk/163976
2025-10-10T00:35:14.2038131Z  * [new tag]                 ciflow/trunk/164040         -> ciflow/trunk/164040
2025-10-10T00:35:14.2038881Z  * [new tag]                 ciflow/trunk/164130         -> ciflow/trunk/164130
2025-10-10T00:35:14.2039518Z  * [new tag]                 ciflow/trunk/164144         -> ciflow/trunk/164144
2025-10-10T00:35:14.2039799Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-10-10T00:35:14.2041772Z  * [new tag]                 ciflow/trunk/164318         -> ciflow/trunk/164318
2025-10-10T00:35:14.2042085Z  * [new tag]                 ciflow/trunk/164414         -> ciflow/trunk/164414
2025-10-10T00:35:14.2042238Z  * [new tag]                 ciflow/trunk/164416         -> ciflow/trunk/164416
2025-10-10T00:35:14.2042454Z  * [new tag]                 ciflow/trunk/164437         -> ciflow/trunk/164437
2025-10-10T00:35:14.2042586Z  * [new tag]                 ciflow/trunk/164467         -> ciflow/trunk/164467
2025-10-10T00:35:14.2042749Z  * [new tag]                 ciflow/trunk/164500         -> ciflow/trunk/164500
2025-10-10T00:35:14.2042877Z  * [new tag]                 ciflow/trunk/164510         -> ciflow/trunk/164510
2025-10-10T00:35:14.2043262Z  * [new tag]                 ciflow/trunk/164519         -> ciflow/trunk/164519
2025-10-10T00:35:14.2044018Z  * [new tag]                 ciflow/trunk/164542         -> ciflow/trunk/164542
2025-10-10T00:35:14.2048641Z  * [new tag]                 ciflow/trunk/164560         -> ciflow/trunk/164560
2025-10-10T00:35:14.2048961Z  * [new tag]                 ciflow/trunk/164566         -> ciflow/trunk/164566
2025-10-10T00:35:14.2049287Z  * [new tag]                 ciflow/trunk/164623         -> ciflow/trunk/164623
2025-10-10T00:35:14.2049545Z  * [new tag]                 ciflow/trunk/164628         -> ciflow/trunk/164628
2025-10-10T00:35:14.2049685Z  * [new tag]                 ciflow/trunk/164641         -> ciflow/trunk/164641
2025-10-10T00:35:14.2049887Z  * [new tag]                 ciflow/trunk/164643         -> ciflow/trunk/164643
2025-10-10T00:35:14.2050509Z  * [new tag]                 ciflow/trunk/164645         -> ciflow/trunk/164645
2025-10-10T00:35:14.2050671Z  * [new tag]                 ciflow/trunk/164653         -> ciflow/trunk/164653
2025-10-10T00:35:14.2050796Z  * [new tag]                 ciflow/trunk/164655         -> ciflow/trunk/164655
2025-10-10T00:35:14.2050908Z  * [new tag]                 ciflow/trunk/164691         -> ciflow/trunk/164691
2025-10-10T00:35:14.2051025Z  * [new tag]                 ciflow/trunk/164692         -> ciflow/trunk/164692
2025-10-10T00:35:14.2051153Z  * [new tag]                 ciflow/trunk/164705         -> ciflow/trunk/164705
2025-10-10T00:35:14.2051265Z  * [new tag]                 ciflow/trunk/164746         -> ciflow/trunk/164746
2025-10-10T00:35:14.2051388Z  * [new tag]                 ciflow/trunk/164747         -> ciflow/trunk/164747
2025-10-10T00:35:14.2051497Z  * [new tag]                 ciflow/trunk/164790         -> ciflow/trunk/164790
2025-10-10T00:35:14.2051709Z  * [new tag]                 ciflow/trunk/164808         -> ciflow/trunk/164808
2025-10-10T00:35:14.2052247Z  * [new tag]                 ciflow/trunk/164812         -> ciflow/trunk/164812
2025-10-10T00:35:14.2055849Z  * [new tag]                 ciflow/trunk/164836         -> ciflow/trunk/164836
2025-10-10T00:35:14.2058026Z  * [new tag]                 ciflow/trunk/164842         -> ciflow/trunk/164842
2025-10-10T00:35:14.2058188Z  * [new tag]                 ciflow/trunk/164882         -> ciflow/trunk/164882
2025-10-10T00:35:14.2058322Z  * [new tag]                 ciflow/trunk/164889         -> ciflow/trunk/164889
2025-10-10T00:35:14.2058462Z  * [new tag]                 ciflow/trunk/164894         -> ciflow/trunk/164894
2025-10-10T00:35:14.2058582Z  * [new tag]                 ciflow/trunk/164930         -> ciflow/trunk/164930
2025-10-10T00:35:14.2058710Z  * [new tag]                 ciflow/trunk/164953         -> ciflow/trunk/164953
2025-10-10T00:35:14.2058832Z  * [new tag]                 ciflow/trunk/164976         -> ciflow/trunk/164976
2025-10-10T00:35:14.2059082Z  * [new tag]                 ciflow/trunk/164999         -> ciflow/trunk/164999
2025-10-10T00:35:14.2059202Z  * [new tag]                 ciflow/trunk/165000         -> ciflow/trunk/165000
2025-10-10T00:35:14.2059323Z  * [new tag]                 ciflow/trunk/165017         -> ciflow/trunk/165017
2025-10-10T00:35:14.2059449Z  * [new tag]                 ciflow/trunk/165018         -> ciflow/trunk/165018
2025-10-10T00:35:14.2059566Z  * [new tag]                 ciflow/trunk/165024         -> ciflow/trunk/165024
2025-10-10T00:35:14.2059705Z  * [new tag]                 ciflow/trunk/165033         -> ciflow/trunk/165033
2025-10-10T00:35:14.2059824Z  * [new tag]                 ciflow/trunk/165047         -> ciflow/trunk/165047
2025-10-10T00:35:14.2059956Z  * [new tag]                 ciflow/trunk/165057         -> ciflow/trunk/165057
2025-10-10T00:35:14.2060500Z  * [new tag]                 ciflow/trunk/165060         -> ciflow/trunk/165060
2025-10-10T00:35:14.2060954Z  * [new tag]                 ciflow/trunk/165065         -> ciflow/trunk/165065
2025-10-10T00:35:14.2061484Z  * [new tag]                 ciflow/trunk/165066         -> ciflow/trunk/165066
2025-10-10T00:35:14.2062932Z  * [new tag]                 ciflow/trunk/165090         -> ciflow/trunk/165090
2025-10-10T00:35:14.2063224Z  * [new tag]                 ciflow/trunk/165094         -> ciflow/trunk/165094
2025-10-10T00:35:14.2064120Z  * [new tag]                 ciflow/trunk/165113         -> ciflow/trunk/165113
2025-10-10T00:35:14.2064626Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-10-10T00:35:14.2067350Z  * [new tag]                 ciflow/vllm/164628          -> ciflow/vllm/164628
2025-10-10T00:35:14.2067549Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-10-10T00:35:14.2067695Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-10-10T00:35:14.2067819Z  * [new tag]                 ciflow/xpu/161485           -> ciflow/xpu/161485
2025-10-10T00:35:14.2067971Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-10-10T00:35:14.2068091Z  * [new tag]                 ciflow/xpu/163332           -> ciflow/xpu/163332
2025-10-10T00:35:14.2068630Z  * [new tag]                 cslpull75                   -> cslpull75
2025-10-10T00:35:14.2068980Z  * [new tag]                 cslpull76                   -> cslpull76
2025-10-10T00:35:14.2069636Z  * [new tag]                 cslpull77                   -> cslpull77
2025-10-10T00:35:14.2070355Z  * [new tag]                 cslpull78                   -> cslpull78
2025-10-10T00:35:14.2070864Z  * [new tag]                 cslpull79                   -> cslpull79
2025-10-10T00:35:14.2073847Z  * [new tag]                 cslpull80                   -> cslpull80
2025-10-10T00:35:14.2073993Z  * [new tag]                 cslpull81                   -> cslpull81
2025-10-10T00:35:14.2074111Z  * [new tag]                 cslpull82                   -> cslpull82
2025-10-10T00:35:14.2074232Z  * [new tag]                 cslpull83                   -> cslpull83
2025-10-10T00:35:14.2074344Z  * [new tag]                 cslpull84                   -> cslpull84
2025-10-10T00:35:14.2074459Z  * [new tag]                 cslpull85                   -> cslpull85
2025-10-10T00:35:14.2074869Z  * [new tag]                 cslpull86                   -> cslpull86
2025-10-10T00:35:14.2080768Z  * [new tag]                 cslpull87                   -> cslpull87
2025-10-10T00:35:14.2085760Z  * [new tag]                 cslpull88                   -> cslpull88
2025-10-10T00:35:14.2087802Z  * [new tag]                 cslpull89                   -> cslpull89
2025-10-10T00:35:14.2088067Z  * [new tag]                 cslpull90                   -> cslpull90
2025-10-10T00:35:14.2092504Z  * [new tag]                 cslpull91                   -> cslpull91
2025-10-10T00:35:14.2092748Z  * [new tag]                 cslpull92                   -> cslpull92
2025-10-10T00:35:14.2097021Z  * [new tag]                 flight_5                    -> flight_5
2025-10-10T00:35:14.2097177Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-10-10T00:35:14.2097301Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-10-10T00:35:14.2097414Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-10-10T00:35:14.2097541Z  * [new tag]                 forpull1                    -> forpull1
2025-10-10T00:35:14.2097685Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-10-10T00:35:14.2097848Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-10-10T00:35:14.2097988Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-10-10T00:35:14.2098120Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-10-10T00:35:14.2098268Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-10-10T00:35:14.2098413Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-10-10T00:35:14.2098691Z  * [new tag]                 trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba -> trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba
2025-10-10T00:35:14.2098938Z  * [new tag]                 trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 -> trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979
2025-10-10T00:35:14.2099178Z  * [new tag]                 trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 -> trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8
2025-10-10T00:35:14.2099563Z  * [new tag]                 trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 -> trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9
2025-10-10T00:35:14.2099803Z  * [new tag]                 trunk/0319556a35b01e8857f7bf75df9df3287e1e853a -> trunk/0319556a35b01e8857f7bf75df9df3287e1e853a
2025-10-10T00:35:14.2100053Z  * [new tag]                 trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 -> trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6
2025-10-10T00:35:14.2100294Z  * [new tag]                 trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f -> trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f
2025-10-10T00:35:14.2100542Z  * [new tag]                 trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 -> trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952
2025-10-10T00:35:14.2100790Z  * [new tag]                 trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 -> trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206
2025-10-10T00:35:14.2101044Z  * [new tag]                 trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 -> trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641
2025-10-10T00:35:14.2101299Z  * [new tag]                 trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa -> trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa
2025-10-10T00:35:14.2101548Z  * [new tag]                 trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a -> trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a
2025-10-10T00:35:14.2101804Z  * [new tag]                 trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf -> trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf
2025-10-10T00:35:14.2102051Z  * [new tag]                 trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 -> trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2
2025-10-10T00:35:14.2102301Z  * [new tag]                 trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:35:14.2102932Z  * [new tag]                 trunk/0e5773b7fadef9e29b006af470b771fad55b5206 -> trunk/0e5773b7fadef9e29b006af470b771fad55b5206
2025-10-10T00:35:14.2103202Z  * [new tag]                 trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 -> trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0
2025-10-10T00:35:14.2103457Z  * [new tag]                 trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 -> trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9
2025-10-10T00:35:14.2103701Z  * [new tag]                 trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 -> trunk/0fd976b65c6daf3799a501d9202e4f50144446d1
2025-10-10T00:35:14.2104048Z  * [new tag]                 trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 -> trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1
2025-10-10T00:35:14.2104289Z  * [new tag]                 trunk/115af42e9d57e89c26777be72822107cd7b39e07 -> trunk/115af42e9d57e89c26777be72822107cd7b39e07
2025-10-10T00:35:14.2104536Z  * [new tag]                 trunk/11f5f656867089dac1fa1e64e34c9966578fbddd -> trunk/11f5f656867089dac1fa1e64e34c9966578fbddd
2025-10-10T00:35:14.2104786Z  * [new tag]                 trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 -> trunk/12d2ef557f6e127100267c31a31572d8ab5cc788
2025-10-10T00:35:14.2105037Z  * [new tag]                 trunk/144378615a5a2b347e39c6376cba7d75f7a82926 -> trunk/144378615a5a2b347e39c6376cba7d75f7a82926
2025-10-10T00:35:14.2105280Z  * [new tag]                 trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 -> trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27
2025-10-10T00:35:14.2105530Z  * [new tag]                 trunk/15800888b697bacd555399b3a0ca2e8d0827528e -> trunk/15800888b697bacd555399b3a0ca2e8d0827528e
2025-10-10T00:35:14.2105780Z  * [new tag]                 trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff -> trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff
2025-10-10T00:35:14.2106017Z  * [new tag]                 trunk/15d726005ddc5558c934c3edd5f815c2e504e501 -> trunk/15d726005ddc5558c934c3edd5f815c2e504e501
2025-10-10T00:35:14.2106264Z  * [new tag]                 trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 -> trunk/16f9bef642b07b3090a6e4a04517eff84d41a197
2025-10-10T00:35:14.2106548Z  * [new tag]                 trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 -> trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669
2025-10-10T00:35:14.2106798Z  * [new tag]                 trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 -> trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6
2025-10-10T00:35:14.2107024Z  * [new tag]                 trunk/18940820006d2304460008575561e2e8e7fc59fc -> trunk/18940820006d2304460008575561e2e8e7fc59fc
2025-10-10T00:35:14.2107277Z  * [new tag]                 trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 -> trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292
2025-10-10T00:35:14.2107523Z  * [new tag]                 trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 -> trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5
2025-10-10T00:35:14.2107780Z  * [new tag]                 trunk/19bf67be3286c0e2babe83af0d1593bae850362a -> trunk/19bf67be3286c0e2babe83af0d1593bae850362a
2025-10-10T00:35:14.2108017Z  * [new tag]                 trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 -> trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619
2025-10-10T00:35:14.2108267Z  * [new tag]                 trunk/1d182dd81c3143697337e35d046fd02951dedb09 -> trunk/1d182dd81c3143697337e35d046fd02951dedb09
2025-10-10T00:35:14.2109067Z  * [new tag]                 trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b -> trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b
2025-10-10T00:35:14.2109366Z  * [new tag]                 trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 -> trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005
2025-10-10T00:35:14.2109699Z  * [new tag]                 trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 -> trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8
2025-10-10T00:35:14.2110366Z  * [new tag]                 trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 -> trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195
2025-10-10T00:35:14.2110942Z  * [new tag]                 trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 -> trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4
2025-10-10T00:35:14.2111396Z  * [new tag]                 trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 -> trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749
2025-10-10T00:35:14.2111908Z  * [new tag]                 trunk/20082d713666fa1eade588bebd523d86309bfa25 -> trunk/20082d713666fa1eade588bebd523d86309bfa25
2025-10-10T00:35:14.2112530Z  * [new tag]                 trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 -> trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083
2025-10-10T00:35:14.2113169Z  * [new tag]                 trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 -> trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1
2025-10-10T00:35:14.2113704Z  * [new tag]                 trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 -> trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2
2025-10-10T00:35:14.2114248Z  * [new tag]                 trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 -> trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148
2025-10-10T00:35:14.2115514Z  * [new tag]                 trunk/235b995ce18de632ab816940319fcd66b46039b8 -> trunk/235b995ce18de632ab816940319fcd66b46039b8
2025-10-10T00:35:14.2115833Z  * [new tag]                 trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 -> trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67
2025-10-10T00:35:14.2116136Z  * [new tag]                 trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 -> trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28
2025-10-10T00:35:14.2117403Z  * [new tag]                 trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f -> trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f
2025-10-10T00:35:14.2117680Z  * [new tag]                 trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c -> trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c
2025-10-10T00:35:14.2117936Z  * [new tag]                 trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 -> trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460
2025-10-10T00:35:14.2118704Z  * [new tag]                 trunk/2855a045b30dafad7a08d66e242be13770189c19 -> trunk/2855a045b30dafad7a08d66e242be13770189c19
2025-10-10T00:35:14.2119334Z  * [new tag]                 trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 -> trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9
2025-10-10T00:35:14.2119925Z  * [new tag]                 trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d -> trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d
2025-10-10T00:35:14.2120952Z  * [new tag]                 trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 -> trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121
2025-10-10T00:35:14.2121192Z  * [new tag]                 trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:35:14.2121959Z  * [new tag]                 trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 -> trunk/2a760dc51e04d65845440cc09e7016cfc74f9132
2025-10-10T00:35:14.2122353Z  * [new tag]                 trunk/2a7c48675010056f23d62b5c6ecb318782801723 -> trunk/2a7c48675010056f23d62b5c6ecb318782801723
2025-10-10T00:35:14.2122946Z  * [new tag]                 trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 -> trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24
2025-10-10T00:35:14.2123520Z  * [new tag]                 trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 -> trunk/2b9ff9953523a2e916234c9197d946f4cff976c7
2025-10-10T00:35:14.2124079Z  * [new tag]                 trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 -> trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3
2025-10-10T00:35:14.2124468Z  * [new tag]                 trunk/2c5ed6e7c067573b093725cd15d13812d9647562 -> trunk/2c5ed6e7c067573b093725cd15d13812d9647562
2025-10-10T00:35:14.2127492Z  * [new tag]                 trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 -> trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344
2025-10-10T00:35:14.2127754Z  * [new tag]                 trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 -> trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15
2025-10-10T00:35:14.2127984Z  * [new tag]                 trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae -> trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae
2025-10-10T00:35:14.2128218Z  * [new tag]                 trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b -> trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b
2025-10-10T00:35:14.2128446Z  * [new tag]                 trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 -> trunk/3040a5d294bd30d3938d0043a5d93d6c23264827
2025-10-10T00:35:14.2128677Z  * [new tag]                 trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 -> trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911
2025-10-10T00:35:14.2128910Z  * [new tag]                 trunk/322091d8d8542a0cbff524306029bef4d7338747 -> trunk/322091d8d8542a0cbff524306029bef4d7338747
2025-10-10T00:35:14.2129199Z  * [new tag]                 trunk/3288fbf374128610928e27d03615ac0d46a6ce14 -> trunk/3288fbf374128610928e27d03615ac0d46a6ce14
2025-10-10T00:35:14.2129448Z  * [new tag]                 trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 -> trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26
2025-10-10T00:35:14.2129916Z  * [new tag]                 trunk/33b17bc619b044a0050797987efb8890d43319df -> trunk/33b17bc619b044a0050797987efb8890d43319df
2025-10-10T00:35:14.2130550Z  * [new tag]                 trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac -> trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac
2025-10-10T00:35:14.2131208Z  * [new tag]                 trunk/344e6365a0068c2d2847fcec0c55dd53291d475e -> trunk/344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:14.2131833Z  * [new tag]                 trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd -> trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd
2025-10-10T00:35:14.2132558Z  * [new tag]                 trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f -> trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f
2025-10-10T00:35:14.2132893Z  * [new tag]                 trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf -> trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf
2025-10-10T00:35:14.2133551Z  * [new tag]                 trunk/361c5d362c4ea1950e05116899cfcf753c345ebd -> trunk/361c5d362c4ea1950e05116899cfcf753c345ebd
2025-10-10T00:35:14.2134354Z  * [new tag]                 trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 -> trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253
2025-10-10T00:35:14.2134778Z  * [new tag]                 trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 -> trunk/3912ba3e940b9354622fa09b2ada677cd10723d8
2025-10-10T00:35:14.2135350Z  * [new tag]                 trunk/39189592fd688979e56063430ed5a038d999908f -> trunk/39189592fd688979e56063430ed5a038d999908f
2025-10-10T00:35:14.2136839Z  * [new tag]                 trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 -> trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72
2025-10-10T00:35:14.2137110Z  * [new tag]                 trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 -> trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2
2025-10-10T00:35:14.2137383Z  * [new tag]                 trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 -> trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039
2025-10-10T00:35:14.2138051Z  * [new tag]                 trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 -> trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798
2025-10-10T00:35:14.2138846Z  * [new tag]                 trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 -> trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0
2025-10-10T00:35:14.2139178Z  * [new tag]                 trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb -> trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb
2025-10-10T00:35:14.2140470Z  * [new tag]                 trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 -> trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419
2025-10-10T00:35:14.2140748Z  * [new tag]                 trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b -> trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b
2025-10-10T00:35:14.2141039Z  * [new tag]                 trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac -> trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac
2025-10-10T00:35:14.2142377Z  * [new tag]                 trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c -> trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c
2025-10-10T00:35:14.2143102Z  * [new tag]                 trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a -> trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a
2025-10-10T00:35:14.2143359Z  * [new tag]                 trunk/3db21643417a04f6f2707a783ac32a538a98d53d -> trunk/3db21643417a04f6f2707a783ac32a538a98d53d
2025-10-10T00:35:14.2143667Z  * [new tag]                 trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 -> trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3
2025-10-10T00:35:14.2144227Z  * [new tag]                 trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc -> trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc
2025-10-10T00:35:14.2144795Z  * [new tag]                 trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f -> trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f
2025-10-10T00:35:14.2145313Z  * [new tag]                 trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 -> trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6
2025-10-10T00:35:14.2147237Z  * [new tag]                 trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb -> trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb
2025-10-10T00:35:14.2147529Z  * [new tag]                 trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 -> trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1
2025-10-10T00:35:14.2147812Z  * [new tag]                 trunk/415e641572473479fc9d9eaea12762e1a223a9e0 -> trunk/415e641572473479fc9d9eaea12762e1a223a9e0
2025-10-10T00:35:14.2148052Z  * [new tag]                 trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 -> trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331
2025-10-10T00:35:14.2148344Z  * [new tag]                 trunk/4308b8a28fa332d23ad6d25a472559b354619131 -> trunk/4308b8a28fa332d23ad6d25a472559b354619131
2025-10-10T00:35:14.2148711Z  * [new tag]                 trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 -> trunk/43848b71d9af0223eafdd1755bf7444aafe9e993
2025-10-10T00:35:14.2149465Z  * [new tag]                 trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec -> trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec
2025-10-10T00:35:14.2150138Z  * [new tag]                 trunk/4412026949b562f940d4c24162de19d299725b62 -> trunk/4412026949b562f940d4c24162de19d299725b62
2025-10-10T00:35:14.2150826Z  * [new tag]                 trunk/44a5d419935a77b3308f247279a457e6d0b9a292 -> trunk/44a5d419935a77b3308f247279a457e6d0b9a292
2025-10-10T00:35:14.2151622Z  * [new tag]                 trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 -> trunk/4661200125ba9c87aa7d54a55e585403b5ce5040
2025-10-10T00:35:14.2152140Z  * [new tag]                 trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 -> trunk/4691fe60700ac51a878775fd23a8f7c4548c6757
2025-10-10T00:35:14.2152699Z  * [new tag]                 trunk/4725871a815fb880e89135a493c8c94ab9bbfece -> trunk/4725871a815fb880e89135a493c8c94ab9bbfece
2025-10-10T00:35:14.2153337Z  * [new tag]                 trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 -> trunk/47956196d99166fe9083beb2a52fd2e6c90b2011
2025-10-10T00:35:14.2154147Z  * [new tag]                 trunk/483f4e0db91166128ad8922d86dc7222338d4ecc -> trunk/483f4e0db91166128ad8922d86dc7222338d4ecc
2025-10-10T00:35:14.2154548Z  * [new tag]                 trunk/48b54b45d62af7ecafccc5afede04474cb236f1a -> trunk/48b54b45d62af7ecafccc5afede04474cb236f1a
2025-10-10T00:35:14.2155227Z  * [new tag]                 trunk/49f7d8d19d24f616b11ef050535a211245aed649 -> trunk/49f7d8d19d24f616b11ef050535a211245aed649
2025-10-10T00:35:14.2155791Z  * [new tag]                 trunk/4a0df39f814afad087e8b29dd2914a8b54567694 -> trunk/4a0df39f814afad087e8b29dd2914a8b54567694
2025-10-10T00:35:14.2156356Z  * [new tag]                 trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 -> trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1
2025-10-10T00:35:14.2160498Z  * [new tag]                 trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 -> trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117
2025-10-10T00:35:14.2160795Z  * [new tag]                 trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 -> trunk/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:35:14.2161025Z  * [new tag]                 trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 -> trunk/4bd1505f849e701a8e54f9d185c23f13e7324498
2025-10-10T00:35:14.2161270Z  * [new tag]                 trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 -> trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701
2025-10-10T00:35:14.2161516Z  * [new tag]                 trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 -> trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3
2025-10-10T00:35:14.2161739Z  * [new tag]                 trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 -> trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73
2025-10-10T00:35:14.2161973Z  * [new tag]                 trunk/50e077beaaf71798f870552f3849e4a52c784df5 -> trunk/50e077beaaf71798f870552f3849e4a52c784df5
2025-10-10T00:35:14.2162370Z  * [new tag]                 trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 -> trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9
2025-10-10T00:35:14.2162608Z  * [new tag]                 trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 -> trunk/5178d0a480f8f4e21da3757de455c8215b249ec5
2025-10-10T00:35:14.2162834Z  * [new tag]                 trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 -> trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392
2025-10-10T00:35:14.2163064Z  * [new tag]                 trunk/5390324984c43f1214b8abf731ad495ba2df5341 -> trunk/5390324984c43f1214b8abf731ad495ba2df5341
2025-10-10T00:35:14.2163310Z  * [new tag]                 trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 -> trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1
2025-10-10T00:35:14.2163969Z  * [new tag]                 trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e -> trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e
2025-10-10T00:35:14.2164469Z  * [new tag]                 trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a -> trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a
2025-10-10T00:35:14.2168512Z  * [new tag]                 trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 -> trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1
2025-10-10T00:35:14.2168795Z  * [new tag]                 trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 -> trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895
2025-10-10T00:35:14.2169056Z  * [new tag]                 trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 -> trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9
2025-10-10T00:35:14.2169538Z  * [new tag]                 trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 -> trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79
2025-10-10T00:35:14.2169848Z  * [new tag]                 trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 -> trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50
2025-10-10T00:35:14.2170101Z  * [new tag]                 trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd -> trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd
2025-10-10T00:35:14.2170356Z  * [new tag]                 trunk/5ba11df4f871717818b88c4eab514d31286601d1 -> trunk/5ba11df4f871717818b88c4eab514d31286601d1
2025-10-10T00:35:14.2170613Z  * [new tag]                 trunk/5c827a4133da69108338d0363bb7ad7f62803c40 -> trunk/5c827a4133da69108338d0363bb7ad7f62803c40
2025-10-10T00:35:14.2170869Z  * [new tag]                 trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 -> trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1
2025-10-10T00:35:14.2171118Z  * [new tag]                 trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 -> trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8
2025-10-10T00:35:14.2171638Z  * [new tag]                 trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f -> trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f
2025-10-10T00:35:14.2171900Z  * [new tag]                 trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a -> trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a
2025-10-10T00:35:14.2172368Z  * [new tag]                 trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e -> trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e
2025-10-10T00:35:14.2176421Z  * [new tag]                 trunk/5f18f240de43fc24481ead4d740dda64f174fa86 -> trunk/5f18f240de43fc24481ead4d740dda64f174fa86
2025-10-10T00:35:14.2176770Z  * [new tag]                 trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 -> trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778
2025-10-10T00:35:14.2177068Z  * [new tag]                 trunk/600267ea56cafcf8f9a1150a4379184960a757b2 -> trunk/600267ea56cafcf8f9a1150a4379184960a757b2
2025-10-10T00:35:14.2177353Z  * [new tag]                 trunk/600db525bdb5e76c12f30f271d969d43a7f8efef -> trunk/600db525bdb5e76c12f30f271d969d43a7f8efef
2025-10-10T00:35:14.2177618Z  * [new tag]                 trunk/608792153f42254d2d2b5a87d524807a0c2724f1 -> trunk/608792153f42254d2d2b5a87d524807a0c2724f1
2025-10-10T00:35:14.2177881Z  * [new tag]                 trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 -> trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9
2025-10-10T00:35:14.2178135Z  * [new tag]                 trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc -> trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc
2025-10-10T00:35:14.2178563Z  * [new tag]                 trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 -> trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4
2025-10-10T00:35:14.2178821Z  * [new tag]                 trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 -> trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0
2025-10-10T00:35:14.2179141Z  * [new tag]                 trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 -> trunk/660e369a68dd8be60ce4eb67c25191ea66efc303
2025-10-10T00:35:14.2179815Z  * [new tag]                 trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 -> trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2
2025-10-10T00:35:14.2180408Z  * [new tag]                 trunk/6861a270624b44954826688f8dad668eb0154452 -> trunk/6861a270624b44954826688f8dad668eb0154452
2025-10-10T00:35:14.2181139Z  * [new tag]                 trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 -> trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78
2025-10-10T00:35:14.2181790Z  * [new tag]                 trunk/688efd9741dbd18c176729aec3df7a73825f8463 -> trunk/688efd9741dbd18c176729aec3df7a73825f8463
2025-10-10T00:35:14.2182367Z  * [new tag]                 trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b -> trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b
2025-10-10T00:35:14.2187164Z  * [new tag]                 trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 -> trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532
2025-10-10T00:35:14.2187615Z  * [new tag]                 trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf -> trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf
2025-10-10T00:35:14.2187873Z  * [new tag]                 trunk/6b768e1890a179122e91395c5532a382d69b96a0 -> trunk/6b768e1890a179122e91395c5532a382d69b96a0
2025-10-10T00:35:14.2188120Z  * [new tag]                 trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d -> trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d
2025-10-10T00:35:14.2188370Z  * [new tag]                 trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b -> trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b
2025-10-10T00:35:14.2188628Z  * [new tag]                 trunk/6bb586eafd723d4972c729f37c14f27c88168adc -> trunk/6bb586eafd723d4972c729f37c14f27c88168adc
2025-10-10T00:35:14.2188879Z  * [new tag]                 trunk/6c0125dbc0241aef962528651df4f67204a8b526 -> trunk/6c0125dbc0241aef962528651df4f67204a8b526
2025-10-10T00:35:14.2189132Z  * [new tag]                 trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 -> trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93
2025-10-10T00:35:14.2189404Z  * [new tag]                 trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d -> trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d
2025-10-10T00:35:14.2189676Z  * [new tag]                 trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 -> trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655
2025-10-10T00:35:14.2190251Z  * [new tag]                 trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 -> trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18
2025-10-10T00:35:14.2190772Z  * [new tag]                 trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e -> trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e
2025-10-10T00:35:14.2191361Z  * [new tag]                 trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 -> trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6
2025-10-10T00:35:14.2191923Z  * [new tag]                 trunk/724463d5a2fba369cd14e89215b84d1b01435df7 -> trunk/724463d5a2fba369cd14e89215b84d1b01435df7
2025-10-10T00:35:14.2192327Z  * [new tag]                 trunk/73adac05d13babb75410c3e033fdce57aa16881a -> trunk/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:35:14.2193341Z  * [new tag]                 trunk/7457d139c51124e5a31a6173f99f81f0deb52178 -> trunk/7457d139c51124e5a31a6173f99f81f0deb52178
2025-10-10T00:35:14.2193645Z  * [new tag]                 trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b -> trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b
2025-10-10T00:35:14.2196572Z  * [new tag]                 trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 -> trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2
2025-10-10T00:35:14.2196972Z  * [new tag]                 trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 -> trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147
2025-10-10T00:35:14.2197196Z  * [new tag]                 trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 -> trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803
2025-10-10T00:35:14.2197427Z  * [new tag]                 trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c -> trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c
2025-10-10T00:35:14.2197661Z  * [new tag]                 trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 -> trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900
2025-10-10T00:35:14.2201970Z  * [new tag]                 trunk/7d570129e0cea8dd3de0175baff96723656ab8ab -> trunk/7d570129e0cea8dd3de0175baff96723656ab8ab
2025-10-10T00:35:14.2202242Z  * [new tag]                 trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a -> trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a
2025-10-10T00:35:14.2202506Z  * [new tag]                 trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c -> trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c
2025-10-10T00:35:14.2202759Z  * [new tag]                 trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 -> trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229
2025-10-10T00:35:14.2202997Z  * [new tag]                 trunk/81994b08a078b30e076d408713f78c9bf4e329e7 -> trunk/81994b08a078b30e076d408713f78c9bf4e329e7
2025-10-10T00:35:14.2203281Z  * [new tag]                 trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 -> trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573
2025-10-10T00:35:14.2203569Z  * [new tag]                 trunk/83458197d14921f797565135f0f45031c362338d -> trunk/83458197d14921f797565135f0f45031c362338d
2025-10-10T00:35:14.2203817Z  * [new tag]                 trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb -> trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb
2025-10-10T00:35:14.2204050Z  * [new tag]                 trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 -> trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4
2025-10-10T00:35:14.2204300Z  * [new tag]                 trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 -> trunk/86c789849eac1f96d03cf273e7995dbc7d319c26
2025-10-10T00:35:14.2204530Z  * [new tag]                 trunk/874efa2d72d83b00894097130f18062ce331a265 -> trunk/874efa2d72d83b00894097130f18062ce331a265
2025-10-10T00:35:14.2207323Z  * [new tag]                 trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 -> trunk/87c9fbda22c229d4e5512011e050efd6ffea1241
2025-10-10T00:35:14.2207578Z  * [new tag]                 trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 -> trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605
2025-10-10T00:35:14.2207831Z  * [new tag]                 trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 -> trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528
2025-10-10T00:35:14.2208065Z  * [new tag]                 trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 -> trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2
2025-10-10T00:35:14.2208307Z  * [new tag]                 trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 -> trunk/8ca986ee60febce075f9e3ff83726048cebbbf68
2025-10-10T00:35:14.2208541Z  * [new tag]                 trunk/8d53d788fefc0370931063d91f0c342556c3cf4c -> trunk/8d53d788fefc0370931063d91f0c342556c3cf4c
2025-10-10T00:35:14.2212200Z  * [new tag]                 trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 -> trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9
2025-10-10T00:35:14.2212564Z  * [new tag]                 trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 -> trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4
2025-10-10T00:35:14.2212983Z  * [new tag]                 trunk/8f54e27e5decf41222f5d744069eb6572dbf275f -> trunk/8f54e27e5decf41222f5d744069eb6572dbf275f
2025-10-10T00:35:14.2213263Z  * [new tag]                 trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 -> trunk/8f705d019a64b1ca882e043b3eb98559273a9e59
2025-10-10T00:35:14.2213509Z  * [new tag]                 trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 -> trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24
2025-10-10T00:35:14.2213854Z  * [new tag]                 trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 -> trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5
2025-10-10T00:35:14.2214102Z  * [new tag]                 trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d -> trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d
2025-10-10T00:35:14.2214341Z  * [new tag]                 trunk/91040f49348646d79c6cd3434c34860d25c2e47a -> trunk/91040f49348646d79c6cd3434c34860d25c2e47a
2025-10-10T00:35:14.2217400Z  * [new tag]                 trunk/91b94842645c1a781ab169b0df718545901ebb01 -> trunk/91b94842645c1a781ab169b0df718545901ebb01
2025-10-10T00:35:14.2219181Z  * [new tag]                 trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf -> trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf
2025-10-10T00:35:14.2219433Z  * [new tag]                 trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 -> trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226
2025-10-10T00:35:14.2220457Z  * [new tag]                 trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 -> trunk/93e833de0f987f66d8c93b76ffe6aad35b714231
2025-10-10T00:35:14.2220710Z  * [new tag]                 trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 -> trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094
2025-10-10T00:35:14.2221736Z  * [new tag]                 trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 -> trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344
2025-10-10T00:35:14.2223156Z  * [new tag]                 trunk/9580539e2f73d68e89544c713ff460bea3038701 -> trunk/9580539e2f73d68e89544c713ff460bea3038701
2025-10-10T00:35:14.2223803Z  * [new tag]                 trunk/95a053284cd28e8d52bd55049bd45aea47adba0c -> trunk/95a053284cd28e8d52bd55049bd45aea47adba0c
2025-10-10T00:35:14.2224281Z  * [new tag]                 trunk/960c4b9937251da01ea588efff0fc06a34eac35b -> trunk/960c4b9937251da01ea588efff0fc06a34eac35b
2025-10-10T00:35:14.2224535Z  * [new tag]                 trunk/96181d6f7619acf938dc743123326c6b5dd25284 -> trunk/96181d6f7619acf938dc743123326c6b5dd25284
2025-10-10T00:35:14.2224786Z  * [new tag]                 trunk/9697a7ce9ea095e933658cfee13f9bbef272551a -> trunk/9697a7ce9ea095e933658cfee13f9bbef272551a
2025-10-10T00:35:14.2226263Z  * [new tag]                 trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd -> trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd
2025-10-10T00:35:14.2230450Z  * [new tag]                 trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 -> trunk/97463d4cf3c125557ef23502772b12a67dac4dc7
2025-10-10T00:35:14.2230756Z  * [new tag]                 trunk/97ca21106d0179f425fc752ec867fe11669c2834 -> trunk/97ca21106d0179f425fc752ec867fe11669c2834
2025-10-10T00:35:14.2230995Z  * [new tag]                 trunk/98a081a24c22072362dc536afd39a469e28939d4 -> trunk/98a081a24c22072362dc536afd39a469e28939d4
2025-10-10T00:35:14.2231233Z  * [new tag]                 trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 -> trunk/9944cac6e6a95159744a775a8bef40d89eef0f03
2025-10-10T00:35:14.2231485Z  * [new tag]                 trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a -> trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a
2025-10-10T00:35:14.2231758Z  * [new tag]                 trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 -> trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1
2025-10-10T00:35:14.2232025Z  * [new tag]                 trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef -> trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef
2025-10-10T00:35:14.2232286Z  * [new tag]                 trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f -> trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f
2025-10-10T00:35:14.2234886Z  * [new tag]                 trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe -> trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe
2025-10-10T00:35:14.2235138Z  * [new tag]                 trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 -> trunk/9f5e1beaf3c9248a335d2448103240a463187eb5
2025-10-10T00:35:14.2235387Z  * [new tag]                 trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 -> trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423
2025-10-10T00:35:14.2235635Z  * [new tag]                 trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 -> trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5
2025-10-10T00:35:14.2235961Z  * [new tag]                 trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e -> trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e
2025-10-10T00:35:14.2236198Z  * [new tag]                 trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 -> trunk/a11a66ef320938cd0fd72b44b2b572b06937e100
2025-10-10T00:35:14.2236440Z  * [new tag]                 trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 -> trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104
2025-10-10T00:35:14.2238645Z  * [new tag]                 trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 -> trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6
2025-10-10T00:35:14.2238988Z  * [new tag]                 trunk/a4110fedcf72eaede76324bb5c21a76589d75849 -> trunk/a4110fedcf72eaede76324bb5c21a76589d75849
2025-10-10T00:35:14.2239258Z  * [new tag]                 trunk/a43c4c3972a611db169dde2aed803b91fe78c081 -> trunk/a43c4c3972a611db169dde2aed803b91fe78c081
2025-10-10T00:35:14.2239571Z  * [new tag]                 trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 -> trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87
2025-10-10T00:35:14.2243794Z  * [new tag]                 trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 -> trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79
2025-10-10T00:35:14.2244463Z  * [new tag]                 trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed -> trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed
2025-10-10T00:35:14.2244757Z  * [new tag]                 trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 -> trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66
2025-10-10T00:35:14.2245191Z  * [new tag]                 trunk/a9a9a3438a374f96a308b707a1718036aaec790d -> trunk/a9a9a3438a374f96a308b707a1718036aaec790d
2025-10-10T00:35:14.2245459Z  * [new tag]                 trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e -> trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e
2025-10-10T00:35:14.2245711Z  * [new tag]                 trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 -> trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183
2025-10-10T00:35:14.2245995Z  * [new tag]                 trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 -> trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3
2025-10-10T00:35:14.2246225Z  * [new tag]                 trunk/ac08556f674259ff5b117964e300124e8a92d45b -> trunk/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:35:14.2246468Z  * [new tag]                 trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 -> trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548
2025-10-10T00:35:14.2246728Z  * [new tag]                 trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 -> trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23
2025-10-10T00:35:14.2246978Z  * [new tag]                 trunk/ad7b2bebc651c297d869f265deedef726bf17048 -> trunk/ad7b2bebc651c297d869f265deedef726bf17048
2025-10-10T00:35:14.2249326Z  * [new tag]                 trunk/ae25ec569c614c2a2274837079578b71f3201a3b -> trunk/ae25ec569c614c2a2274837079578b71f3201a3b
2025-10-10T00:35:14.2249588Z  * [new tag]                 trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 -> trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5
2025-10-10T00:35:14.2249857Z  * [new tag]                 trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 -> trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9
2025-10-10T00:35:14.2250095Z  * [new tag]                 trunk/aed66248a01d309eb2ac1149b5f51310545b0783 -> trunk/aed66248a01d309eb2ac1149b5f51310545b0783
2025-10-10T00:35:14.2250344Z  * [new tag]                 trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d -> trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d
2025-10-10T00:35:14.2250590Z  * [new tag]                 trunk/af40828bbb785f968eda18dbdc8750ba67f57366 -> trunk/af40828bbb785f968eda18dbdc8750ba67f57366
2025-10-10T00:35:14.2250848Z  * [new tag]                 trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 -> trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29
2025-10-10T00:35:14.2251096Z  * [new tag]                 trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 -> trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1
2025-10-10T00:35:14.2256124Z  * [new tag]                 trunk/afeec56a5aa83dd0258565400551a99777c0023b -> trunk/afeec56a5aa83dd0258565400551a99777c0023b
2025-10-10T00:35:14.2258019Z  * [new tag]                 trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 -> trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6
2025-10-10T00:35:14.2258374Z  * [new tag]                 trunk/b116c5133024be39a2db67cd0112b490b970b710 -> trunk/b116c5133024be39a2db67cd0112b490b970b710
2025-10-10T00:35:14.2258732Z  * [new tag]                 trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 -> trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837
2025-10-10T00:35:14.2259093Z  * [new tag]                 trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 -> trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87
2025-10-10T00:35:14.2259388Z  * [new tag]                 trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 -> trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7
2025-10-10T00:35:14.2259641Z  * [new tag]                 trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 -> trunk/b2b3947565fd0c27ebd4941152c964eab30370e2
2025-10-10T00:35:14.2259917Z  * [new tag]                 trunk/b558c986e8ec693b531ad2817026393c55d72eb6 -> trunk/b558c986e8ec693b531ad2817026393c55d72eb6
2025-10-10T00:35:14.2260174Z  * [new tag]                 trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd -> trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd
2025-10-10T00:35:14.2260422Z  * [new tag]                 trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 -> trunk/b63bbe16615cc7680836dbb151bd848bce4893d6
2025-10-10T00:35:14.2260815Z  * [new tag]                 trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 -> trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2
2025-10-10T00:35:14.2261068Z  * [new tag]                 trunk/b9e73e639e36f3aa628752161711e68878231b30 -> trunk/b9e73e639e36f3aa628752161711e68878231b30
2025-10-10T00:35:14.2261331Z  * [new tag]                 trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 -> trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88
2025-10-10T00:35:14.2261580Z  * [new tag]                 trunk/bac0f289a35f05052740076fc5671271a3d487c2 -> trunk/bac0f289a35f05052740076fc5671271a3d487c2
2025-10-10T00:35:14.2261901Z  * [new tag]                 trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a -> trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a
2025-10-10T00:35:14.2262160Z  * [new tag]                 trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 -> trunk/bc33b10202fb7c3761bcabc166e02d96807d8739
2025-10-10T00:35:14.2262615Z  * [new tag]                 trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 -> trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228
2025-10-10T00:35:14.2262897Z  * [new tag]                 trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a -> trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a
2025-10-10T00:35:14.2263166Z  * [new tag]                 trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b -> trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b
2025-10-10T00:35:14.2263416Z  * [new tag]                 trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 -> trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614
2025-10-10T00:35:14.2264596Z  * [new tag]                 trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 -> trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45
2025-10-10T00:35:14.2264978Z  * [new tag]                 trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 -> trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9
2025-10-10T00:35:14.2265292Z  * [new tag]                 trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 -> trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1
2025-10-10T00:35:14.2265867Z  * [new tag]                 trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd -> trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd
2025-10-10T00:35:14.2266493Z  * [new tag]                 trunk/c32118dc3e50505fd285e6e448a90883fce11535 -> trunk/c32118dc3e50505fd285e6e448a90883fce11535
2025-10-10T00:35:14.2267798Z  * [new tag]                 trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 -> trunk/c45d56dd00546daa7d9044674233dba1ac7b6194
2025-10-10T00:35:14.2268137Z  * [new tag]                 trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e -> trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e
2025-10-10T00:35:14.2268689Z  * [new tag]                 trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 -> trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41
2025-10-10T00:35:14.2269252Z  * [new tag]                 trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 -> trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28
2025-10-10T00:35:14.2270943Z  * [new tag]                 trunk/c813617c53e6be91e77f47e9a3f713146d54f340 -> trunk/c813617c53e6be91e77f47e9a3f713146d54f340
2025-10-10T00:35:14.2271268Z  * [new tag]                 trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 -> trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82
2025-10-10T00:35:14.2271705Z  * [new tag]                 trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 -> trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2
2025-10-10T00:35:14.2271939Z  * [new tag]                 trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 -> trunk/cac5e13e1384900c5acc4938c33d6037a61850d5
2025-10-10T00:35:14.2272514Z  * [new tag]                 trunk/cc71ab86a6985e85645424b727c766e031047ff6 -> trunk/cc71ab86a6985e85645424b727c766e031047ff6
2025-10-10T00:35:14.2273373Z  * [new tag]                 trunk/cd62a73dcb13102069aa827a6657f62d88cce095 -> trunk/cd62a73dcb13102069aa827a6657f62d88cce095
2025-10-10T00:35:14.2273820Z  * [new tag]                 trunk/cf0a00d4f38775e5a82a166e367f40383c606963 -> trunk/cf0a00d4f38775e5a82a166e367f40383c606963
2025-10-10T00:35:14.2274378Z  * [new tag]                 trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 -> trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452
2025-10-10T00:35:14.2274958Z  * [new tag]                 trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c -> trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c
2025-10-10T00:35:14.2275523Z  * [new tag]                 trunk/d1a62c80363cf769552453eed187e935f905737d -> trunk/d1a62c80363cf769552453eed187e935f905737d
2025-10-10T00:35:14.2276167Z  * [new tag]                 trunk/d1cbb74fb16406488a174832e1b58b7c242f418d -> trunk/d1cbb74fb16406488a174832e1b58b7c242f418d
2025-10-10T00:35:14.2276751Z  * [new tag]                 trunk/d386325ca9a142419f45b987391f4bb175dd7d0b -> trunk/d386325ca9a142419f45b987391f4bb175dd7d0b
2025-10-10T00:35:14.2277604Z  * [new tag]                 trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de -> trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de
2025-10-10T00:35:14.2277977Z  * [new tag]                 trunk/d4443840036a00a30afcf066cb23f4525e590809 -> trunk/d4443840036a00a30afcf066cb23f4525e590809
2025-10-10T00:35:14.2278959Z  * [new tag]                 trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 -> trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9
2025-10-10T00:35:14.2279187Z  * [new tag]                 trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c -> trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c
2025-10-10T00:35:14.2281420Z  * [new tag]                 trunk/da903b6a8be422529d47649e89c0d50bb95c37ca -> trunk/da903b6a8be422529d47649e89c0d50bb95c37ca
2025-10-10T00:35:14.2281717Z  * [new tag]                 trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f -> trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f
2025-10-10T00:35:14.2281960Z  * [new tag]                 trunk/ddf8de28c25944a58e739ba9996b06753e4199cc -> trunk/ddf8de28c25944a58e739ba9996b06753e4199cc
2025-10-10T00:35:14.2282207Z  * [new tag]                 trunk/df640df68a5275684eaae3080a9c97a0c61469c8 -> trunk/df640df68a5275684eaae3080a9c97a0c61469c8
2025-10-10T00:35:14.2282443Z  * [new tag]                 trunk/e09fb44ef177005c4a11c28be24781429d416a3e -> trunk/e09fb44ef177005c4a11c28be24781429d416a3e
2025-10-10T00:35:14.2282703Z  * [new tag]                 trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 -> trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838
2025-10-10T00:35:14.2283489Z  * [new tag]                 trunk/e3ae80fc036da356e3748d134689741583552f09 -> trunk/e3ae80fc036da356e3748d134689741583552f09
2025-10-10T00:35:14.2284165Z  * [new tag]                 trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 -> trunk/e40fe634b1a7aa33e278b1404ee02dea12277080
2025-10-10T00:35:14.2284816Z  * [new tag]                 trunk/e438db254602cf39ba536aed0590b4144c019ee8 -> trunk/e438db254602cf39ba536aed0590b4144c019ee8
2025-10-10T00:35:14.2285353Z  * [new tag]                 trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 -> trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52
2025-10-10T00:35:14.2286165Z  * [new tag]                 trunk/e6d4b26776842307475b368db60e27ac1bcede86 -> trunk/e6d4b26776842307475b368db60e27ac1bcede86
2025-10-10T00:35:14.2286735Z  * [new tag]                 trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f -> trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f
2025-10-10T00:35:14.2287116Z  * [new tag]                 trunk/e7fd2969303ab931f5e5875eca676018e1acd089 -> trunk/e7fd2969303ab931f5e5875eca676018e1acd089
2025-10-10T00:35:14.2290357Z  * [new tag]                 trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d -> trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d
2025-10-10T00:35:14.2290824Z  * [new tag]                 trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f -> trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f
2025-10-10T00:35:14.2291233Z  * [new tag]                 trunk/ea42517e454d2e47391646bbb897f5fc51147b9d -> trunk/ea42517e454d2e47391646bbb897f5fc51147b9d
2025-10-10T00:35:14.2291654Z  * [new tag]                 trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 -> trunk/eaa02655eabd24609744c2251ac40d39d86ebb39
2025-10-10T00:35:14.2292027Z  * [new tag]                 trunk/eccf561326147894d57482a5aba7a2290005b257 -> trunk/eccf561326147894d57482a5aba7a2290005b257
2025-10-10T00:35:14.2292549Z  * [new tag]                 trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 -> trunk/ece5e0f01b68509342f85fa388ca61936dc18b20
2025-10-10T00:35:14.2292948Z  * [new tag]                 trunk/ed2d514ad860229f6d364688f9db27dad034cd83 -> trunk/ed2d514ad860229f6d364688f9db27dad034cd83
2025-10-10T00:35:14.2293333Z  * [new tag]                 trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 -> trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06
2025-10-10T00:35:14.2293710Z  * [new tag]                 trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb -> trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb
2025-10-10T00:35:14.2294074Z  * [new tag]                 trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 -> trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837
2025-10-10T00:35:14.2294446Z  * [new tag]                 trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 -> trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061
2025-10-10T00:35:14.2295053Z  * [new tag]                 trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e -> trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e
2025-10-10T00:35:14.2295690Z  * [new tag]                 trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 -> trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9
2025-10-10T00:35:14.2296301Z  * [new tag]                 trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 -> trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33
2025-10-10T00:35:14.2296916Z  * [new tag]                 trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 -> trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79
2025-10-10T00:35:14.2297669Z  * [new tag]                 trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 -> trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7
2025-10-10T00:35:14.2298194Z  * [new tag]                 trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 -> trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0
2025-10-10T00:35:14.2298863Z  * [new tag]                 trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 -> trunk/f231be25c679adb47ac3e483dc68948e5ad137a4
2025-10-10T00:35:14.2299821Z  * [new tag]                 trunk/f33201729416ed17467228e80b04d01d4d02b5f3 -> trunk/f33201729416ed17467228e80b04d01d4d02b5f3
2025-10-10T00:35:14.2300492Z  * [new tag]                 trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a -> trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a
2025-10-10T00:35:14.2301134Z  * [new tag]                 trunk/f39789cdabb6465f21666bd001829e1f7284d754 -> trunk/f39789cdabb6465f21666bd001829e1f7284d754
2025-10-10T00:35:14.2301516Z  * [new tag]                 trunk/f3afbcf3407783e54ec2795b06ae744f645320ba -> trunk/f3afbcf3407783e54ec2795b06ae744f645320ba
2025-10-10T00:35:14.2310801Z  * [new tag]                 trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 -> trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920
2025-10-10T00:35:14.2311285Z  * [new tag]                 trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba -> trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba
2025-10-10T00:35:14.2311945Z  * [new tag]                 trunk/f465ea6752c91498de63eb57439a74f4836e568a -> trunk/f465ea6752c91498de63eb57439a74f4836e568a
2025-10-10T00:35:14.2312622Z  * [new tag]                 trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 -> trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53
2025-10-10T00:35:14.2313108Z  * [new tag]                 trunk/f46ddb1e65b595c80f285dc42aa8549970736aae -> trunk/f46ddb1e65b595c80f285dc42aa8549970736aae
2025-10-10T00:35:14.2313364Z  * [new tag]                 trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf -> trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf
2025-10-10T00:35:14.2313623Z  * [new tag]                 trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc -> trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc
2025-10-10T00:35:14.2313864Z  * [new tag]                 trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 -> trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5
2025-10-10T00:35:14.2314105Z  * [new tag]                 trunk/f6de195616432f42a545b98ea41cc816019d1c60 -> trunk/f6de195616432f42a545b98ea41cc816019d1c60
2025-10-10T00:35:14.2314597Z  * [new tag]                 trunk/f6f76767563d4293a0f78551edf4675a5794c570 -> trunk/f6f76767563d4293a0f78551edf4675a5794c570
2025-10-10T00:35:14.2314821Z  * [new tag]                 trunk/f7082e92b3635e89906fae514506152a2ec844a0 -> trunk/f7082e92b3635e89906fae514506152a2ec844a0
2025-10-10T00:35:14.2315061Z  * [new tag]                 trunk/f713abab16cb98c15f486e9822dd261279cce252 -> trunk/f713abab16cb98c15f486e9822dd261279cce252
2025-10-10T00:35:14.2315294Z  * [new tag]                 trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 -> trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869
2025-10-10T00:35:14.2315555Z  * [new tag]                 trunk/f79e212733ca89ce3cc99a3072e50351686e5568 -> trunk/f79e212733ca89ce3cc99a3072e50351686e5568
2025-10-10T00:35:14.2315790Z  * [new tag]                 trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 -> trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1
2025-10-10T00:35:14.2316020Z  * [new tag]                 trunk/fa5306b4f5bea89d80b9f14926712119aab78161 -> trunk/fa5306b4f5bea89d80b9f14926712119aab78161
2025-10-10T00:35:14.2316259Z  * [new tag]                 trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 -> trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80
2025-10-10T00:35:14.2318048Z  * [new tag]                 trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 -> trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4
2025-10-10T00:35:14.2318497Z  * [new tag]                 trunk/fd3e15c14f4fc474af610b482382a2c85729f50d -> trunk/fd3e15c14f4fc474af610b482382a2c85729f50d
2025-10-10T00:35:14.2325168Z  * [new tag]                 trunk/fd4bde430a51e5f216295c950d962c6343119821 -> trunk/fd4bde430a51e5f216295c950d962c6343119821
2025-10-10T00:35:14.2327656Z  * [new tag]                 trunk/fdc622b513610b53ddcdc0b40282df9beae369bd -> trunk/fdc622b513610b53ddcdc0b40282df9beae369bd
2025-10-10T00:35:14.2333848Z  * [new tag]                 trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 -> trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370
2025-10-10T00:35:14.2335708Z  * [new tag]                 trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 -> trunk/ff5faa744a52561f4c6a138089123fd8d41cab73
2025-10-10T00:35:14.2335857Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-10-10T00:35:14.2336021Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-10-10T00:35:14.2336142Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-10-10T00:35:14.2336234Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-10-10T00:35:14.2336516Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-10-10T00:35:14.2336624Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-10-10T00:35:14.2336724Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-10-10T00:35:14.2336828Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-10-10T00:35:14.2336925Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-10-10T00:35:14.2337022Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-10-10T00:35:14.2337134Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-10-10T00:35:14.2337231Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-10-10T00:35:14.2337330Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-10-10T00:35:14.2337441Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-10-10T00:35:14.2337548Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-10-10T00:35:14.2337649Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-10-10T00:35:14.2337747Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-10-10T00:35:14.2337854Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-10-10T00:35:14.2337970Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-10-10T00:35:14.2338074Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-10-10T00:35:14.2338179Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-10-10T00:35:14.2338354Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-10-10T00:35:14.2338460Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-10-10T00:35:14.2338566Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-10-10T00:35:14.2338671Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-10-10T00:35:14.2338787Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-10-10T00:35:14.2338905Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-10-10T00:35:14.2339009Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-10-10T00:35:14.2339108Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-10-10T00:35:14.2339220Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-10-10T00:35:14.2339319Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-10-10T00:35:14.2339433Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-10-10T00:35:14.2339532Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-10-10T00:35:14.2339634Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-10-10T00:35:14.2339746Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-10-10T00:35:14.2339847Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-10-10T00:35:14.2339963Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-10-10T00:35:14.2340063Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-10-10T00:35:14.2340171Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-10-10T00:35:14.2340271Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-10-10T00:35:14.2340373Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-10-10T00:35:14.2340503Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-10-10T00:35:14.2341443Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-10-10T00:35:14.2341765Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-10-10T00:35:14.2342950Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-10-10T00:35:14.2343515Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-10-10T00:35:14.2344304Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-10-10T00:35:14.2344450Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-10-10T00:35:14.2344870Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-10-10T00:35:14.2345277Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-10-10T00:35:14.2346855Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-10-10T00:35:14.2347154Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-10-10T00:35:14.2347320Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-10-10T00:35:14.2349878Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-10-10T00:35:14.2350177Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-10-10T00:35:14.2350302Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-10-10T00:35:14.2350431Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-10-10T00:35:14.2350653Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-10-10T00:35:14.2350936Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-10-10T00:35:14.2357337Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-10-10T00:35:14.2357493Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-10-10T00:35:14.2357602Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-10-10T00:35:14.2357902Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-10-10T00:35:14.2358015Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-10-10T00:35:14.2358116Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-10-10T00:35:14.2358218Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-10-10T00:35:14.2358322Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-10-10T00:35:14.2358425Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-10-10T00:35:14.2358523Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-10-10T00:35:14.2358612Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-10-10T00:35:14.2359229Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-10-10T00:35:14.2359375Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-10-10T00:35:14.2359489Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-10-10T00:35:14.2363694Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-10-10T00:35:14.2366270Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-10-10T00:35:14.2366580Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-10-10T00:35:14.2366703Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-10-10T00:35:14.2366909Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-10-10T00:35:14.2367080Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-10-10T00:35:14.2367266Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-10-10T00:35:14.2367385Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-10-10T00:35:14.2367520Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-10-10T00:35:14.2367642Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-10-10T00:35:14.2368283Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-10-10T00:35:14.2368573Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-10-10T00:35:14.2368703Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-10-10T00:35:14.2368804Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-10-10T00:35:14.2369180Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-10-10T00:35:14.2369319Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-10-10T00:35:14.2369421Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-10-10T00:35:14.2369655Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-10-10T00:35:14.2369770Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-10-10T00:35:14.2372444Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-10-10T00:35:14.2372762Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-10-10T00:35:14.2372898Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-10-10T00:35:14.2373085Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-10-10T00:35:14.2377707Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-10-10T00:35:14.2377854Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-10-10T00:35:14.2378002Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-10-10T00:35:14.2378130Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-10-10T00:35:14.2378236Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-10-10T00:35:14.2378352Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-10-10T00:35:14.2378456Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-10-10T00:35:14.2378735Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-10-10T00:35:14.2378851Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-10-10T00:35:14.2378973Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-10-10T00:35:14.2379084Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-10-10T00:35:14.2379189Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-10-10T00:35:14.2379501Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-10-10T00:35:14.2379624Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-10-10T00:35:14.2381169Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-10-10T00:35:14.2381316Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-10-10T00:35:14.2381816Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-10-10T00:35:14.2382134Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-10-10T00:35:14.2385709Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-10-10T00:35:14.2386342Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-10-10T00:35:14.2386484Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-10-10T00:35:14.2386606Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-10-10T00:35:14.2386733Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-10-10T00:35:14.2386842Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-10-10T00:35:14.2390772Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-10-10T00:35:14.2391054Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-10-10T00:35:14.2391165Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-10-10T00:35:14.2391265Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-10-10T00:35:14.2391386Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-10-10T00:35:14.2391487Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-10-10T00:35:14.2391592Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-10-10T00:35:14.2391690Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-10-10T00:35:14.2396883Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-10-10T00:35:14.2397152Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-10-10T00:35:14.2397260Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-10-10T00:35:14.2397369Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-10-10T00:35:14.2397464Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-10-10T00:35:14.2397565Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-10-10T00:35:14.2397666Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-10-10T00:35:14.2397771Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-10-10T00:35:14.2397867Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-10-10T00:35:14.2400393Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-10-10T00:35:14.2400541Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-10-10T00:35:14.2400679Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-10-10T00:35:14.2400792Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-10-10T00:35:14.2400895Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-10-10T00:35:14.2401011Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-10-10T00:35:14.2401122Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-10-10T00:35:14.2401239Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-10-10T00:35:14.2401543Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-10-10T00:35:14.2401651Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-10-10T00:35:14.2403614Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-10-10T00:35:14.2403742Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-10-10T00:35:14.2403859Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-10-10T00:35:14.2404060Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-10-10T00:35:14.2404555Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-10-10T00:35:14.2404691Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-10-10T00:35:14.2404794Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-10-10T00:35:14.2404912Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-10-10T00:35:14.2408612Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-10-10T00:35:14.2408983Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-10-10T00:35:14.2409133Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-10-10T00:35:14.2409243Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-10-10T00:35:14.2409358Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-10-10T00:35:14.2409473Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-10-10T00:35:14.2409584Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-10-10T00:35:14.2409739Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-10-10T00:35:14.2409848Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-10-10T00:35:14.2409956Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-10-10T00:35:14.2410076Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-10-10T00:35:14.2413173Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-10-10T00:35:14.2413298Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-10-10T00:35:14.2413775Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-10-10T00:35:14.2413927Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-10-10T00:35:14.2414254Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-10-10T00:35:14.2414366Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-10-10T00:35:14.2414468Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-10-10T00:35:14.2414568Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-10-10T00:35:14.2418430Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-10-10T00:35:14.2418610Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-10-10T00:35:14.2418752Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-10-10T00:35:14.2418883Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-10-10T00:35:14.2418999Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-10-10T00:35:14.2419119Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-10-10T00:35:14.2419247Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-10-10T00:35:14.2419366Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-10-10T00:35:14.2419474Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-10-10T00:35:14.2419588Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-10-10T00:35:14.2419708Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-10-10T00:35:14.2420039Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-10-10T00:35:14.2421548Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-10-10T00:35:14.2421668Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-10-10T00:35:14.2422104Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-10-10T00:35:14.2423143Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-10-10T00:35:14.2423401Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-10-10T00:35:14.2424498Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-10-10T00:35:14.2424707Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-10-10T00:35:14.2427913Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-10-10T00:35:14.2428064Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-10-10T00:35:14.2428182Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-10-10T00:35:14.2428322Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-10-10T00:35:14.2428440Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-10-10T00:35:14.2435572Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-10-10T00:35:14.2435714Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-10-10T00:35:14.2436137Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-10-10T00:35:14.2436294Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-10-10T00:35:14.2436411Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-10-10T00:35:14.2436530Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-10-10T00:35:14.2436640Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-10-10T00:35:14.2436759Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-10-10T00:35:14.2436882Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-10-10T00:35:14.2437001Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-10-10T00:35:14.2437119Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-10-10T00:35:14.2437229Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-10-10T00:35:14.2437333Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-10-10T00:35:14.2437604Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-10-10T00:35:14.2437713Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-10-10T00:35:14.2438879Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-10-10T00:35:14.2439282Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-10-10T00:35:14.2439780Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-10-10T00:35:14.2441256Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-10-10T00:35:14.2441456Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-10-10T00:35:14.2442153Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-10-10T00:35:14.2442675Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-10-10T00:35:14.2443101Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-10-10T00:35:14.2444140Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-10-10T00:35:14.2444548Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-10-10T00:35:14.2445267Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-10-10T00:35:14.2445880Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-10-10T00:35:14.2446520Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-10-10T00:35:14.2447145Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-10-10T00:35:14.2447885Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-10-10T00:35:14.2448604Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-10-10T00:35:14.2449059Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-10-10T00:35:14.2449742Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-10-10T00:35:14.2450372Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-10-10T00:35:14.2451104Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-10-10T00:35:14.2451792Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-10-10T00:35:14.2452478Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-10-10T00:35:14.2452894Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-10-10T00:35:14.2454052Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-10-10T00:35:14.2454341Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-10-10T00:35:14.2455070Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-10-10T00:35:14.2455776Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-10-10T00:35:14.2456462Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-10-10T00:35:14.2457190Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-10-10T00:35:14.2458911Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-10-10T00:35:14.2459197Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-10-10T00:35:14.2459478Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-10-10T00:35:14.2460056Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-10-10T00:35:14.2460702Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-10-10T00:35:14.2461336Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-10-10T00:35:14.2461822Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-10-10T00:35:14.2463352Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-10-10T00:35:14.2463640Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-10-10T00:35:14.2464284Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-10-10T00:35:14.2465051Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-10-10T00:35:14.2466556Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-10-10T00:35:14.2466909Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-10-10T00:35:14.2467245Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-10-10T00:35:14.2467712Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-10-10T00:35:14.2468207Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-10-10T00:35:14.2468681Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-10-10T00:35:14.2469256Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-10-10T00:35:14.2469687Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-10-10T00:35:14.2470342Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-10-10T00:35:14.2471509Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-10-10T00:35:14.2471943Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-10-10T00:35:14.2472384Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-10-10T00:35:14.2472974Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-10-10T00:35:14.2475538Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-10-10T00:35:14.2475950Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-10-10T00:35:14.2476289Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-10-10T00:35:14.2476619Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-10-10T00:35:14.2476962Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-10-10T00:35:14.2477288Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-10-10T00:35:14.2490101Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-10-10T00:35:14.2490658Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-10-10T00:35:14.2490986Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-10-10T00:35:14.2491320Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-10-10T00:35:14.2491634Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-10-10T00:35:14.2491965Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-10-10T00:35:14.2492281Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-10-10T00:35:14.2492601Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-10-10T00:35:14.2492918Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-10-10T00:35:14.2493224Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-10-10T00:35:14.2493539Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-10-10T00:35:14.2493853Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-10-10T00:35:14.2494168Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-10-10T00:35:14.2494485Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-10-10T00:35:14.2494792Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-10-10T00:35:14.2495112Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-10-10T00:35:14.2495521Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-10-10T00:35:14.2495849Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-10-10T00:35:14.2496172Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-10-10T00:35:14.2496487Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-10-10T00:35:14.2496814Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-10-10T00:35:14.2497142Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-10-10T00:35:14.2497468Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-10-10T00:35:14.2497784Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-10-10T00:35:14.2498107Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-10-10T00:35:14.2498436Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-10-10T00:35:14.2498759Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-10-10T00:35:14.2499081Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-10-10T00:35:14.2499394Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-10-10T00:35:14.2499716Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-10-10T00:35:14.2500078Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-10-10T00:35:14.2500403Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-10-10T00:35:14.2500735Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-10-10T00:35:14.2501050Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-10-10T00:35:14.2501377Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-10-10T00:35:14.2501698Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-10-10T00:35:14.2502021Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-10-10T00:35:14.2502344Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-10-10T00:35:14.2502876Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-10-10T00:35:14.2503208Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-10-10T00:35:14.2503535Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-10-10T00:35:14.2503859Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-10-10T00:35:14.2504189Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-10-10T00:35:14.2504498Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-10-10T00:35:14.2504811Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-10-10T00:35:14.2505126Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-10-10T00:35:14.2505439Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-10-10T00:35:14.2505753Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-10-10T00:35:14.2506074Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-10-10T00:35:14.2506396Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-10-10T00:35:14.2506718Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-10-10T00:35:14.2507039Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-10-10T00:35:14.2507428Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-10-10T00:35:14.2507749Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-10-10T00:35:14.2508071Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-10-10T00:35:14.2508398Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-10-10T00:35:14.2508738Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-10-10T00:35:14.2509058Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-10-10T00:35:14.2509378Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-10-10T00:35:14.2509699Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-10-10T00:35:14.2510020Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-10-10T00:35:14.2510353Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-10-10T00:35:14.2510679Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-10-10T00:35:14.2510997Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-10-10T00:35:14.2511331Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-10-10T00:35:14.2511651Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-10-10T00:35:14.2512008Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-10-10T00:35:14.2512321Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-10-10T00:35:14.2512624Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-10-10T00:35:14.2513111Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-10-10T00:35:14.2513435Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-10-10T00:35:14.2513755Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-10-10T00:35:14.2516624Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-10-10T00:35:14.2517001Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-10-10T00:35:14.2517377Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-10-10T00:35:14.2522857Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-10-10T00:35:14.2528074Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-10-10T00:35:14.2532834Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-10-10T00:35:14.2533555Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-10-10T00:35:14.2533956Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-10-10T00:35:14.2534287Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-10-10T00:35:14.2534602Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-10-10T00:35:14.2534927Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-10-10T00:35:14.2535243Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-10-10T00:35:14.2535581Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-10-10T00:35:14.2535904Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-10-10T00:35:14.2536215Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-10-10T00:35:14.2536534Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-10-10T00:35:14.2537065Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-10-10T00:35:14.2537388Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-10-10T00:35:14.2537711Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-10-10T00:35:14.2538023Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-10-10T00:35:14.2538344Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-10-10T00:35:14.2538671Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-10-10T00:35:14.2538993Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-10-10T00:35:14.2539312Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-10-10T00:35:14.2539621Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-10-10T00:35:14.2539941Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-10-10T00:35:14.2540255Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-10-10T00:35:14.2540546Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-10-10T00:35:14.2540823Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-10-10T00:35:14.3072976Z [command]/usr/bin/git rev-parse --verify --quiet 344e6365a0068c2d2847fcec0c55dd53291d475e^{object}
2025-10-10T00:35:14.3099375Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:14.3103941Z ##[endgroup]
2025-10-10T00:35:14.3104277Z ##[group]Determining the checkout info
2025-10-10T00:35:14.3104607Z ##[endgroup]
2025-10-10T00:35:14.3110671Z [command]/usr/bin/git sparse-checkout disable
2025-10-10T00:35:14.3141197Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-10-10T00:35:14.3180819Z ##[group]Checking out the ref
2025-10-10T00:35:14.3181236Z [command]/usr/bin/git checkout --progress --force 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:15.3395925Z Updating files:  94% (18914/19929)
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2025-10-10T00:35:15.4169474Z Updating files: 100% (19929/19929), done.
2025-10-10T00:35:15.4402572Z Note: switching to '344e6365a0068c2d2847fcec0c55dd53291d475e'.
2025-10-10T00:35:15.4402871Z 
2025-10-10T00:35:15.4403043Z You are in 'detached HEAD' state. You can look around, make experimental
2025-10-10T00:35:15.4403422Z changes and commit them, and you can discard any commits you make in this
2025-10-10T00:35:15.4403801Z state without impacting any branches by switching back to a branch.
2025-10-10T00:35:15.4404022Z 
2025-10-10T00:35:15.4404180Z If you want to create a new branch to retain commits you create, you may
2025-10-10T00:35:15.4404519Z do so (now or later) by using -c with the switch command. Example:
2025-10-10T00:35:15.4404753Z 
2025-10-10T00:35:15.4404846Z   git switch -c <new-branch-name>
2025-10-10T00:35:15.4405014Z 
2025-10-10T00:35:15.4405112Z Or undo this operation with:
2025-10-10T00:35:15.4405259Z 
2025-10-10T00:35:15.4405344Z   git switch -
2025-10-10T00:35:15.4405457Z 
2025-10-10T00:35:15.4405655Z Turn off this advice by setting config variable advice.detachedHead to false
2025-10-10T00:35:15.4405887Z 
2025-10-10T00:35:15.4406143Z HEAD is now at 344e6365a00 [inductor][eazy] change how torch.use_deterministic_algorithms affect inductor (#164905)
2025-10-10T00:35:15.4452144Z ##[endgroup]
2025-10-10T00:35:15.4452523Z ##[group]Setting up auth for fetching submodules
2025-10-10T00:35:15.4460181Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:35:15.4511971Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-10-10T00:35:15.4552401Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-10-10T00:35:15.4582824Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-10-10T00:35:15.4608216Z ##[endgroup]
2025-10-10T00:35:15.4608572Z ##[group]Fetching submodules
2025-10-10T00:35:15.4611721Z [command]/usr/bin/git submodule sync --recursive
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2025-10-10T00:35:15.5347733Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
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2025-10-10T00:35:15.5355259Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-10-10T00:35:15.5355911Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-10-10T00:35:15.5356542Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-10-10T00:35:15.5357317Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:15.5358296Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-10-10T00:35:15.5358855Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-10-10T00:35:15.5359438Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-10-10T00:35:15.5360320Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-10-10T00:35:15.5365692Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-10-10T00:35:15.5366494Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-10-10T00:35:15.5367239Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-10-10T00:35:15.5367953Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-10-10T00:35:15.5368509Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
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2025-10-10T00:35:15.5375438Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-10-10T00:35:15.5377437Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:15.5379654Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-10-10T00:35:15.5382028Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-10-10T00:35:15.5384266Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-10-10T00:35:15.5386751Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-10-10T00:35:15.5389184Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-10-10T00:35:15.5391782Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
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2025-10-10T00:35:17.3653296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-10-10T00:35:17.3654136Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
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2025-10-10T00:35:17.3655788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-10-10T00:35:17.3656573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-10-10T00:35:17.3657427Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-10-10T00:35:17.3658203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-10-10T00:35:17.3659261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-10-10T00:35:17.3660036Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
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2025-10-10T00:35:17.3670890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-10-10T00:35:17.3672052Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-10-10T00:35:17.3672963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-10-10T00:35:17.4403540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-10-10T00:35:17.5912977Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
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2025-10-10T00:35:17.6914269Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
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2025-10-10T00:35:29.0675602Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-10-10T00:35:29.0676126Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-10-10T00:35:29.0680695Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
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2025-10-10T00:35:29.0806198Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-10-10T00:35:29.2406875Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-10-10T00:35:29.8042100Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-10-10T00:35:29.9484649Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-10-10T00:35:29.9500441Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-10-10T00:35:34.0329877Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
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2025-10-10T00:35:35.1566885Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:35.1567858Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:35.1569080Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:35.1569731Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:35.1570536Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:35.1584197Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:35.1587705Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-10-10T00:35:35.1607625Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-10-10T00:35:36.4514985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-10-10T00:35:36.4515874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-10-10T00:35:36.4516504Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-10-10T00:35:36.5517049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-10-10T00:35:38.9359044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-10-10T00:35:39.0361025Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-10-10T00:35:41.8292218Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-10-10T00:35:42.1084112Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-10-10T00:35:42.2004559Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-10-10T00:35:42.7489878Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917'
2025-10-10T00:35:42.7900187Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:42.8007349Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-10-10T00:35:42.8934760Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-10-10T00:35:42.9529628Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-10-10T00:35:42.9548458Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:42.9549571Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:42.9578064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-10-10T00:35:46.8554041Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-10-10T00:35:47.0507643Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-10-10T00:35:47.5542728Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-10-10T00:35:47.6688242Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-10-10T00:35:47.6968568Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-10-10T00:35:47.7323916Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-10-10T00:35:47.7551413Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-10-10T00:35:47.7959685Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:35:47.8084696Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-10-10T00:35:47.8097955Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:47.8124876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-10-10T00:36:03.1890918Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-10-10T00:36:03.2061828Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-10-10T00:36:03.2928334Z Submodule path 'third_party/kineto': checked out '001ba8eb519438592f79dbc8e86a349f5f6c6829'
2025-10-10T00:36:03.2937491Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:03.2940552Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:03.2941439Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:03.2972458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-10-10T00:36:03.9680555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-10-10T00:36:04.5024447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-10-10T00:36:04.5806496Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-10-10T00:36:04.5824310Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:04.5825200Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:04.5826001Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:04.5832111Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:04.5833733Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:04.5834476Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:04.5835381Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:04.5840255Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:04.5846232Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:04.5863686Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-10-10T00:36:06.1541722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-10-10T00:36:06.1542813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-10-10T00:36:06.1544145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-10-10T00:36:06.1545801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-10-10T00:36:06.1546542Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-10-10T00:36:06.1547266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-10-10T00:36:06.1548004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-10-10T00:36:06.2555517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-10-10T00:36:11.3553375Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-10-10T00:36:11.3709107Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-10-10T00:36:11.4028024Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-10-10T00:36:11.4153056Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-10-10T00:36:11.4170740Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:11.4202280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-10-10T00:36:11.7049099Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-10-10T00:36:11.7217616Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-10-10T00:36:11.7619681Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:36:11.8511032Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-10-10T00:36:11.8665126Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-10-10T00:36:11.8821872Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-10-10T00:36:11.8837635Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:11.8838892Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:11.8860089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:36:13.7310723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:36:13.9565359Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-10-10T00:36:13.9976780Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:36:14.0282937Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-10-10T00:36:14.0692917Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:36:14.1082558Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-10-10T00:36:14.1446257Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-10-10T00:36:14.2423187Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-10-10T00:36:14.5376936Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-10-10T00:36:14.5405046Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:14.5435859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-10-10T00:36:15.5931679Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-10-10T00:36:15.6498559Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-10-10T00:36:15.6521173Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:15.6521970Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:15.6522668Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:15.6523320Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:15.6526151Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:15.6527169Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:15.6533390Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:15.6538444Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:15.6567718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-10-10T00:36:16.0728810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-10-10T00:36:16.0729623Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-10-10T00:36:16.0730333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-10-10T00:36:16.0730980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-10-10T00:36:16.1731212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-10-10T00:36:16.7809932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-10-10T00:36:22.4133043Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-10-10T00:36:23.1234453Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-10-10T00:36:23.1608763Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-10-10T00:36:23.1768153Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-10-10T00:36:23.2723558Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-10-10T00:36:23.2854790Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-10-10T00:36:23.2989282Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-10-10T00:36:23.3135584Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-10-10T00:36:23.3150107Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:23.3150987Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:23.3178403Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:36:25.3191950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:36:25.5438549Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-10-10T00:36:25.5857950Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:36:25.9236678Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-10-10T00:36:25.9353203Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-10-10T00:36:26.1621141Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-10-10T00:36:26.1643355Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
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2025-10-10T00:36:29.4457861Z ##[endgroup]
2025-10-10T00:36:29.4459109Z ##[group]Persisting credentials for submodules
2025-10-10T00:36:29.4459885Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-10-10T00:36:29.9402096Z [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"
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2025-10-10T00:36:30.4985080Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-10-10T00:36:30.5001219Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:30.5052391Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-10-10T00:36:30.5067451Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:30.5117265Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-10-10T00:36:30.5135693Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:30.5180878Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-10-10T00:36:30.5196619Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:30.5248554Z 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
2025-10-10T00:36:30.6543912Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-10-10T00:36:30.6865056Z Entering 'android/libs/fbjni'
2025-10-10T00:36:30.6907226Z Entering 'third_party/FP16'
2025-10-10T00:36:30.6956437Z Entering 'third_party/FXdiv'
2025-10-10T00:36:30.6996563Z Entering 'third_party/NNPACK'
2025-10-10T00:36:30.7039797Z Entering 'third_party/NVTX'
2025-10-10T00:36:30.7080047Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:30.7122215Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:30.7175311Z Entering 'third_party/aiter'
2025-10-10T00:36:30.7217798Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:30.7269506Z Entering 'third_party/benchmark'
2025-10-10T00:36:30.7309362Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:30.7361834Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:30.7401555Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:30.7444053Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:30.7478864Z Entering 'third_party/cutlass'
2025-10-10T00:36:30.7528315Z Entering 'third_party/fbgemm'
2025-10-10T00:36:30.7570092Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:30.7611950Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:30.7662358Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:30.7701943Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:30.7756634Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:30.7801484Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:30.7843304Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:30.7884981Z Entering 'third_party/flash-attention'
2025-10-10T00:36:30.7932206Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:30.7975560Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:30.8019491Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:30.8061555Z Entering 'third_party/fmt'
2025-10-10T00:36:30.8104034Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:30.8148483Z Entering 'third_party/gloo'
2025-10-10T00:36:30.8187238Z Entering 'third_party/googletest'
2025-10-10T00:36:30.8237008Z Entering 'third_party/ideep'
2025-10-10T00:36:30.8276981Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:30.8323232Z Entering 'third_party/ittapi'
2025-10-10T00:36:30.8360320Z Entering 'third_party/kineto'
2025-10-10T00:36:30.8401467Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:30.8439613Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:30.8480996Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:30.8524253Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:30.8560723Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:30.8594660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:30.8639197Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:30.8676061Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:30.8713526Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:30.8758471Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:30.8799576Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:30.8836329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:30.8879502Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:30.8926276Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:30.8965940Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:30.9004916Z Entering 'third_party/kleidiai'
2025-10-10T00:36:30.9049262Z Entering 'third_party/mimalloc'
2025-10-10T00:36:30.9095125Z Entering 'third_party/nlohmann'
2025-10-10T00:36:30.9140124Z Entering 'third_party/onnx'
2025-10-10T00:36:30.9194141Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:30.9241467Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:30.9280291Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:30.9316992Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:30.9361343Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:30.9397720Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:30.9436523Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:30.9474616Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:30.9515552Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:30.9555302Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:30.9593442Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:30.9640993Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:30.9692613Z Entering 'third_party/pocketfft'
2025-10-10T00:36:30.9733214Z Entering 'third_party/protobuf'
2025-10-10T00:36:30.9786942Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:30.9821365Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:30.9872536Z Entering 'third_party/psimd'
2025-10-10T00:36:30.9914860Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:30.9956506Z Entering 'third_party/pybind11'
2025-10-10T00:36:30.9993924Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:31.0041046Z Entering 'third_party/sleef'
2025-10-10T00:36:31.0075339Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:31.0113130Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:31.0155109Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:31.0187962Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:31.0233168Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:31.0275604Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:31.0331972Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-10-10T00:36:31.0646062Z Entering 'android/libs/fbjni'
2025-10-10T00:36:31.0686264Z Entering 'third_party/FP16'
2025-10-10T00:36:31.0727828Z Entering 'third_party/FXdiv'
2025-10-10T00:36:31.0772519Z Entering 'third_party/NNPACK'
2025-10-10T00:36:31.0812241Z Entering 'third_party/NVTX'
2025-10-10T00:36:31.0855595Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:31.0893980Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:31.0953111Z Entering 'third_party/aiter'
2025-10-10T00:36:31.0990718Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:31.1045228Z Entering 'third_party/benchmark'
2025-10-10T00:36:31.1084273Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:31.1134357Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:31.1170618Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:31.1218185Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:31.1254235Z Entering 'third_party/cutlass'
2025-10-10T00:36:31.1301241Z Entering 'third_party/fbgemm'
2025-10-10T00:36:31.1348986Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:31.1390955Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:31.1440555Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:31.1479279Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:31.1525541Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:31.1563058Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:31.1604226Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:31.1648974Z Entering 'third_party/flash-attention'
2025-10-10T00:36:31.1689173Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:31.1737353Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:31.1787246Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:31.1831622Z Entering 'third_party/fmt'
2025-10-10T00:36:31.1869650Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:31.1907410Z Entering 'third_party/gloo'
2025-10-10T00:36:31.1952818Z Entering 'third_party/googletest'
2025-10-10T00:36:31.1991906Z Entering 'third_party/ideep'
2025-10-10T00:36:31.2033594Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:31.2079424Z Entering 'third_party/ittapi'
2025-10-10T00:36:31.2117266Z Entering 'third_party/kineto'
2025-10-10T00:36:31.2155746Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:31.2197557Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:31.2238979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:31.2277805Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:31.2325727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:31.2361361Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:31.2399827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:31.2445933Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:31.2483170Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:31.2524339Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:31.2566277Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:31.2601009Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:31.2646699Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:31.2694468Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:31.2736478Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:31.2774379Z Entering 'third_party/kleidiai'
2025-10-10T00:36:31.2814195Z Entering 'third_party/mimalloc'
2025-10-10T00:36:31.2858359Z Entering 'third_party/nlohmann'
2025-10-10T00:36:31.2903310Z Entering 'third_party/onnx'
2025-10-10T00:36:31.2956510Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:31.2995758Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:31.3036894Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:31.3080339Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:31.3122714Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:31.3160564Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:31.3196430Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:31.3238580Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:31.3282645Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:31.3322089Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:31.3367617Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:31.3408581Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:31.3468439Z Entering 'third_party/pocketfft'
2025-10-10T00:36:31.3510215Z Entering 'third_party/protobuf'
2025-10-10T00:36:31.3555373Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:31.3589457Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:31.3637629Z Entering 'third_party/psimd'
2025-10-10T00:36:31.3674154Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:31.3711140Z Entering 'third_party/pybind11'
2025-10-10T00:36:31.3752472Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:31.3788467Z Entering 'third_party/sleef'
2025-10-10T00:36:31.3831089Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:31.3865252Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:31.3905858Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:31.3943219Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:31.3980930Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:31.4019067Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:31.4072390Z ##[endgroup]
2025-10-10T00:36:31.4113496Z [command]/usr/bin/git log -1 --format=%H
2025-10-10T00:36:31.4133971Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:31.4230396Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:31.4230662Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:36:31.4230900Z # Clean stale submodule dirs
2025-10-10T00:36:31.4231111Z if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:36:31.4231353Z   sudo git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:31.4231597Z else
2025-10-10T00:36:31.4231806Z   git submodule foreach --recursive git clean -ffdx
2025-10-10T00:36:31.4232036Z fi
2025-10-10T00:36:31.4240540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:31.4240781Z env:
2025-10-10T00:36:31.4240942Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:31.4241137Z   NO_SUDO: true
2025-10-10T00:36:31.4241293Z ##[endgroup]
2025-10-10T00:36:31.4582044Z Entering 'android/libs/fbjni'
2025-10-10T00:36:31.4613665Z Entering 'third_party/FP16'
2025-10-10T00:36:31.4648844Z Entering 'third_party/FXdiv'
2025-10-10T00:36:31.4677679Z Entering 'third_party/NNPACK'
2025-10-10T00:36:31.4711189Z Entering 'third_party/NVTX'
2025-10-10T00:36:31.4753466Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:36:31.4786157Z Entering 'third_party/XNNPACK'
2025-10-10T00:36:31.4894199Z Entering 'third_party/aiter'
2025-10-10T00:36:31.4940157Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:36:31.5034220Z Entering 'third_party/benchmark'
2025-10-10T00:36:31.5063438Z Entering 'third_party/composable_kernel'
2025-10-10T00:36:31.5160516Z Entering 'third_party/cpp-httplib'
2025-10-10T00:36:31.5194948Z Entering 'third_party/cpuinfo'
2025-10-10T00:36:31.5231881Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:36:31.5267266Z Entering 'third_party/cutlass'
2025-10-10T00:36:31.5359682Z Entering 'third_party/fbgemm'
2025-10-10T00:36:31.5407029Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:36:31.5440840Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:36:31.5537796Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:36:31.5568758Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:36:31.5656895Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:36:31.5686982Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:36:31.5711990Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:36:31.5756125Z Entering 'third_party/flash-attention'
2025-10-10T00:36:31.5791536Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:36:31.5875567Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:36:31.5950056Z Entering 'third_party/flatbuffers'
2025-10-10T00:36:31.6011680Z Entering 'third_party/fmt'
2025-10-10T00:36:31.6043927Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:36:31.6080842Z Entering 'third_party/gloo'
2025-10-10T00:36:31.6114211Z Entering 'third_party/googletest'
2025-10-10T00:36:31.6145918Z Entering 'third_party/ideep'
2025-10-10T00:36:31.6179634Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:36:31.6250500Z Entering 'third_party/ittapi'
2025-10-10T00:36:31.6281191Z Entering 'third_party/kineto'
2025-10-10T00:36:31.6316338Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:36:31.6350792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:36:31.6386208Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:36:31.6417137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:36:31.6448599Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:36:31.6476523Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:36:31.6506323Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:36:31.6537926Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:36:31.6569731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:36:31.6608243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:36:31.6638268Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:36:31.6668063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:31.6708821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:31.6750406Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:36:31.6775147Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:36:31.6808346Z Entering 'third_party/kleidiai'
2025-10-10T00:36:31.6849031Z Entering 'third_party/mimalloc'
2025-10-10T00:36:31.6877318Z Entering 'third_party/nlohmann'
2025-10-10T00:36:31.6918402Z Entering 'third_party/onnx'
2025-10-10T00:36:31.7158544Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:36:31.7189003Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:36:31.7238740Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:36:31.7272694Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:36:31.7303283Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:36:31.7334720Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:36:31.7370882Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:36:31.7401613Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:36:31.7437680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:36:31.7467761Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:36:31.7508725Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:36:31.7543314Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:36:31.7736834Z Entering 'third_party/pocketfft'
2025-10-10T00:36:31.7770006Z Entering 'third_party/protobuf'
2025-10-10T00:36:31.7836896Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:36:31.7862020Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:36:31.7894547Z Entering 'third_party/psimd'
2025-10-10T00:36:31.7927053Z Entering 'third_party/pthreadpool'
2025-10-10T00:36:31.7963860Z Entering 'third_party/pybind11'
2025-10-10T00:36:31.7997449Z Entering 'third_party/python-peachpy'
2025-10-10T00:36:31.8032723Z Entering 'third_party/sleef'
2025-10-10T00:36:31.8066350Z Entering 'third_party/tensorpipe'
2025-10-10T00:36:31.8100263Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:36:31.8135847Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:36:31.8170921Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:36:31.8201577Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:36:31.8228916Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:36:31.8362066Z Prepare all required actions
2025-10-10T00:36:31.8362605Z Getting action download info
2025-10-10T00:36:31.9677904Z ##[group]Run ./.github/actions/setup-linux
2025-10-10T00:36:31.9678160Z env:
2025-10-10T00:36:31.9678346Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:31.9678551Z ##[endgroup]
2025-10-10T00:36:31.9717574Z ##[group]Run set -euo pipefail
2025-10-10T00:36:31.9717850Z set -euo pipefail
2025-10-10T00:36:31.9718059Z function get_ec2_metadata() {
2025-10-10T00:36:31.9718314Z   # Pulled from instance metadata endpoint for EC2
2025-10-10T00:36:31.9718750Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-10-10T00:36:31.9719103Z   category=$1
2025-10-10T00:36:31.9719354Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-10-10T00:36:31.9719635Z   runner_name_str=i-0beba8ef4b109a32f
2025-10-10T00:36:31.9719919Z   if [[ -f /.inarc ]]; then
2025-10-10T00:36:31.9720169Z     echo "ARC Runner, no info on ec2 metadata"
2025-10-10T00:36:31.9720415Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-10-10T00:36:31.9720709Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-10-10T00:36:31.9720977Z   else
2025-10-10T00:36:31.9721501Z     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}"
2025-10-10T00:36:31.9722015Z   fi
2025-10-10T00:36:31.9722160Z }
2025-10-10T00:36:31.9722342Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-10-10T00:36:31.9722603Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-10-10T00:36:31.9722889Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-10-10T00:36:31.9723134Z echo "system info $(uname -a)"
2025-10-10T00:36:31.9729253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:31.9729509Z env:
2025-10-10T00:36:31.9729673Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:31.9729851Z ##[endgroup]
2025-10-10T00:36:31.9870590Z ami-id: ami-08982f1c5bf93d976
2025-10-10T00:36:31.9965739Z instance-id: i-0beba8ef4b109a32f
2025-10-10T00:36:32.0056708Z instance-type: m7i-flex.8xlarge
2025-10-10T00:36:32.0071011Z system info Linux ip-10-0-2-31.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-10-10T00:36:32.0096964Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:32.0097331Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:36:32.0103440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:32.0103710Z env:
2025-10-10T00:36:32.0103891Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:32.0104105Z ##[endgroup]
2025-10-10T00:36:32.0148239Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:32.0148918Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:36:32.0153102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:32.0153350Z env:
2025-10-10T00:36:32.0153502Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:32.0153704Z ##[endgroup]
2025-10-10T00:36:32.0227481Z ##[group]Run if systemctl is-active --quiet docker; then
2025-10-10T00:36:32.0227791Z if systemctl is-active --quiet docker; then
2025-10-10T00:36:32.0228052Z     echo "Docker daemon is running...";
2025-10-10T00:36:32.0228269Z else
2025-10-10T00:36:32.0228507Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-10-10T00:36:32.0228830Z fi
2025-10-10T00:36:32.0233007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:32.0233273Z env:
2025-10-10T00:36:32.0233433Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:32.0233625Z ##[endgroup]
2025-10-10T00:36:32.0306537Z Docker daemon is running...
2025-10-10T00:36:32.0340593Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:36:32.0340840Z with:
2025-10-10T00:36:32.0341006Z   shell: bash
2025-10-10T00:36:32.0341190Z   timeout_minutes: 5
2025-10-10T00:36:32.0341386Z   max_attempts: 3
2025-10-10T00:36:32.0341580Z   retry_wait_seconds: 30
2025-10-10T00:36:32.0343464Z   command: AWS_ACCOUNT_ID=$(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

2025-10-10T00:36:32.0344939Z   polling_interval_seconds: 1
2025-10-10T00:36:32.0345162Z   warning_on_retry: true
2025-10-10T00:36:32.0345356Z   continue_on_error: false
2025-10-10T00:36:32.0345554Z env:
2025-10-10T00:36:32.0345722Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:32.0345923Z   AWS_RETRY_MODE: standard
2025-10-10T00:36:32.0346113Z   AWS_MAX_ATTEMPTS: 5
2025-10-10T00:36:32.0346315Z   AWS_DEFAULT_REGION: us-east-1
2025-10-10T00:36:32.0346526Z ##[endgroup]
2025-10-10T00:36:33.0319930Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:33.0320375Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:33.0320790Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:33.0321062Z 
2025-10-10T00:36:33.0321141Z Login Succeeded
2025-10-10T00:36:33.1035863Z Command completed after 1 attempt(s).
2025-10-10T00:36:33.1087031Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:33.1087420Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:33.1087735Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:36:33.1094138Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.1094402Z env:
2025-10-10T00:36:33.1094582Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.1094787Z ##[endgroup]
2025-10-10T00:36:33.1173331Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:33.1173727Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:36:33.1174028Z # shellcheck disable=SC2046
2025-10-10T00:36:33.1174278Z docker stop $(docker ps -q) || true
2025-10-10T00:36:33.1174520Z # Prune all of the docker images
2025-10-10T00:36:33.1174777Z docker system prune -af
2025-10-10T00:36:33.1179711Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.1179988Z env:
2025-10-10T00:36:33.1180158Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.1180367Z ##[endgroup]
2025-10-10T00:36:33.1634616Z "docker stop" requires at least 1 argument.
2025-10-10T00:36:33.1635202Z See 'docker stop --help'.
2025-10-10T00:36:33.1635435Z 
2025-10-10T00:36:33.1635700Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-10-10T00:36:33.1636016Z 
2025-10-10T00:36:33.1636284Z Stop one or more running containers
2025-10-10T00:36:33.1876194Z Total reclaimed space: 0B
2025-10-10T00:36:33.2011382Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-10-10T00:36:33.2011719Z with:
2025-10-10T00:36:33.2012306Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2013106Z   use-custom-docker-registry: true
2025-10-10T00:36:33.2013385Z   docker-build-dir: .ci/docker
2025-10-10T00:36:33.2013608Z   docker-build-script: ./build.sh
2025-10-10T00:36:33.2013837Z   working-directory: .
2025-10-10T00:36:33.2014101Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.2014388Z   force-push: false
2025-10-10T00:36:33.2014563Z env:
2025-10-10T00:36:33.2014734Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.2014936Z ##[endgroup]
2025-10-10T00:36:33.2037638Z ##[group]Run set -ex
2025-10-10T00:36:33.2037880Z set -ex
2025-10-10T00:36:33.2038046Z 
2025-10-10T00:36:33.2038356Z # If the docker build directory or the build script doesn't exist, the action will
2025-10-10T00:36:33.2038762Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-10-10T00:36:33.2039142Z # job could then download the pre-built image as usual
2025-10-10T00:36:33.2039596Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-10-10T00:36:33.2040008Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2040236Z else
2025-10-10T00:36:33.2040434Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2040731Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2041007Z 
2025-10-10T00:36:33.2041365Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-10-10T00:36:33.2041757Z   exit 0
2025-10-10T00:36:33.2041915Z fi
2025-10-10T00:36:33.2042076Z 
2025-10-10T00:36:33.2042318Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-10-10T00:36:33.2042710Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-10-10T00:36:33.2043061Z   # use it as it is, but first let's extract the tag
2025-10-10T00:36:33.2043382Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-10-10T00:36:33.2043724Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2044053Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2044317Z else
2025-10-10T00:36:33.2044519Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-10-10T00:36:33.2044788Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-10-10T00:36:33.2045070Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-10-10T00:36:33.2045308Z   fi
2025-10-10T00:36:33.2045625Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-10-10T00:36:33.2046029Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2046444Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2046967Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2047232Z fi
2025-10-10T00:36:33.2051996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.2052242Z env:
2025-10-10T00:36:33.2052408Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.2052599Z   REPO_NAME: pytorch
2025-10-10T00:36:33.2053255Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2053820Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:33.2054017Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-10-10T00:36:33.2054280Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.2054547Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-10-10T00:36:33.2054752Z   CUSTOM_TAG_PREFIX: 
2025-10-10T00:36:33.2054925Z ##[endgroup]
2025-10-10T00:36:33.2079579Z + [[ -d .ci/docker ]]
2025-10-10T00:36:33.2079846Z + [[ -f .ci/docker/./build.sh ]]
2025-10-10T00:36:33.2080092Z + [[ true == \t\r\u\e ]]
2025-10-10T00:36:33.2080308Z + echo skip=false
2025-10-10T00:36:33.2081128Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac == *\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* ]]
2025-10-10T00:36:33.2090133Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2092924Z ++ awk -F '[:,]' '{print $2}'
2025-10-10T00:36:33.2112587Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2113662Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2114592Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2144426Z ##[group]Run set +e
2025-10-10T00:36:33.2144662Z set +e
2025-10-10T00:36:33.2144836Z set -x
2025-10-10T00:36:33.2144998Z 
2025-10-10T00:36:33.2145144Z login() {
2025-10-10T00:36:33.2145465Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:33.2145805Z }
2025-10-10T00:36:33.2145958Z 
2025-10-10T00:36:33.2146101Z retry () {
2025-10-10T00:36:33.2146292Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:33.2146499Z }
2025-10-10T00:36:33.2146643Z 
2025-10-10T00:36:33.2146797Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:33.2146999Z 
2025-10-10T00:36:33.2147163Z START_TIME=$(date +%s)
2025-10-10T00:36:33.2147367Z # Wait up to 120 minutes
2025-10-10T00:36:33.2147611Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-10-10T00:36:33.2147909Z   # Check if image already exists, if it does then skip building it
2025-10-10T00:36:33.2148219Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-10-10T00:36:33.2148453Z     exit 0
2025-10-10T00:36:33.2148618Z   fi
2025-10-10T00:36:33.2148765Z 
2025-10-10T00:36:33.2149017Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-10-10T00:36:33.2149410Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-10-10T00:36:33.2149802Z   # latter, it will wait for the Docker images to become available before continuing
2025-10-10T00:36:33.2150121Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-10-10T00:36:33.2150466Z     # It's a Docker build job, let's build the image
2025-10-10T00:36:33.2150684Z     break
2025-10-10T00:36:33.2150846Z   else
2025-10-10T00:36:33.2151071Z     # It's a regular build job, wait for the image to become available
2025-10-10T00:36:33.2151361Z     sleep 300
2025-10-10T00:36:33.2151539Z   fi
2025-10-10T00:36:33.2151699Z done
2025-10-10T00:36:33.2151846Z 
2025-10-10T00:36:33.2152081Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-10-10T00:36:33.2152520Z # be empty.  The default action would be to continue rebuild the image
2025-10-10T00:36:33.2152868Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-10-10T00:36:33.2153190Z   # if we're on the base branch then use the parent commit
2025-10-10T00:36:33.2153442Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-10-10T00:36:33.2153645Z else
2025-10-10T00:36:33.2153867Z   # otherwise we're on a PR, so use the most recent base commit
2025-10-10T00:36:33.2154169Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-10-10T00:36:33.2154389Z fi
2025-10-10T00:36:33.2154542Z 
2025-10-10T00:36:33.2154710Z if [[ -z "${MERGE_BASE}" ]]; then
2025-10-10T00:36:33.2154948Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2155155Z 
2025-10-10T00:36:33.2155445Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-10-10T00:36:33.2155804Z   exit 0
2025-10-10T00:36:33.2155961Z fi
2025-10-10T00:36:33.2156098Z 
2025-10-10T00:36:33.2156304Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-10-10T00:36:33.2156712Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-10-10T00:36:33.2189521Z   exit 1
2025-10-10T00:36:33.2189814Z fi
2025-10-10T00:36:33.2190068Z 
2025-10-10T00:36:33.2190426Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-10-10T00:36:33.2190930Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-10-10T00:36:33.2191326Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-10-10T00:36:33.2191793Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-10-10T00:36:33.2192283Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-10-10T00:36:33.2192583Z fi
2025-10-10T00:36:33.2192771Z 
2025-10-10T00:36:33.2193032Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:36:33.2197971Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.2198251Z env:
2025-10-10T00:36:33.2198435Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.2198655Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:36:33.2198914Z   BASE_REVISION: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:36:33.2199549Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2200341Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.2200848Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.2201128Z   DOCKER_PUSH: 
2025-10-10T00:36:33.2201312Z ##[endgroup]
2025-10-10T00:36:33.2236172Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.2236569Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.2241370Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:33.2243326Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:33.6797081Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:33.6797467Z Login Succeeded
2025-10-10T00:36:33.6797743Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:33.6798149Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:33.6798433Z 
2025-10-10T00:36:33.6816922Z ++ date +%s
2025-10-10T00:36:33.6828289Z + START_TIME=1760056593
2025-10-10T00:36:33.6830244Z ++ date +%s
2025-10-10T00:36:33.6837305Z + [[ 1760049393 -lt 1760056593 ]]
2025-10-10T00:36:33.6838168Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:33.9423172Z {
2025-10-10T00:36:33.9423451Z 	"schemaVersion": 2,
2025-10-10T00:36:33.9423883Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-10-10T00:36:33.9424244Z 	"config": {
2025-10-10T00:36:33.9424511Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-10-10T00:36:33.9424834Z 		"size": 30298,
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2025-10-10T00:36:33.9425532Z 	},
2025-10-10T00:36:33.9425687Z 	"layers": [
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2025-10-10T00:36:33.9427128Z 		},
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2025-10-10T00:36:33.9428305Z 		},
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2025-10-10T00:36:33.9429567Z 		},
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2025-10-10T00:36:33.9429943Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:33.9430862Z 		},
2025-10-10T00:36:33.9431006Z 		{
2025-10-10T00:36:33.9431246Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9431506Z 			"size": 106,
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2025-10-10T00:36:33.9432056Z 		},
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2025-10-10T00:36:33.9433210Z 		},
2025-10-10T00:36:33.9433345Z 		{
2025-10-10T00:36:33.9433551Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9433816Z 			"size": 1212,
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2025-10-10T00:36:33.9434392Z 		},
2025-10-10T00:36:33.9434527Z 		{
2025-10-10T00:36:33.9434754Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9435032Z 			"size": 483,
2025-10-10T00:36:33.9435311Z 			"digest": "sha256:130af8bfbe27c7f09b41f241968e2df384861e6af82e8ff4a0a7acf82652b7ea"
2025-10-10T00:36:33.9435637Z 		},
2025-10-10T00:36:33.9435782Z 		{
2025-10-10T00:36:33.9436007Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9436648Z 			"size": 110343733,
2025-10-10T00:36:33.9436922Z 			"digest": "sha256:193b2b1a9925e076c5c5a070b1a2a5656f771dbbe6fe54e24858e214c999ec31"
2025-10-10T00:36:33.9437211Z 		},
2025-10-10T00:36:33.9437352Z 		{
2025-10-10T00:36:33.9437566Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:33.9438467Z 		},
2025-10-10T00:36:33.9438713Z 		{
2025-10-10T00:36:33.9438935Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:33.9440121Z 		},
2025-10-10T00:36:33.9440281Z 		{
2025-10-10T00:36:33.9440550Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9440815Z 			"size": 724,
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2025-10-10T00:36:33.9441359Z 		},
2025-10-10T00:36:33.9441486Z 		{
2025-10-10T00:36:33.9441695Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9441950Z 			"size": 542,
2025-10-10T00:36:33.9442215Z 			"digest": "sha256:9be330fbd7beead7b21b290a066dac5164e7d36ad14130818f41b5eba2a188b6"
2025-10-10T00:36:33.9442501Z 		},
2025-10-10T00:36:33.9442626Z 		{
2025-10-10T00:36:33.9442835Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:33.9443660Z 		},
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2025-10-10T00:36:33.9444279Z 			"size": 32,
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2025-10-10T00:36:33.9444820Z 		},
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2025-10-10T00:36:33.9445165Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9445416Z 			"size": 380,
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2025-10-10T00:36:33.9445964Z 		},
2025-10-10T00:36:33.9446100Z 		{
2025-10-10T00:36:33.9446304Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9446557Z 			"size": 236627,
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2025-10-10T00:36:33.9447101Z 		},
2025-10-10T00:36:33.9447226Z 		{
2025-10-10T00:36:33.9447433Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9447684Z 			"size": 232,
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2025-10-10T00:36:33.9448217Z 		},
2025-10-10T00:36:33.9448351Z 		{
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2025-10-10T00:36:33.9449377Z 		},
2025-10-10T00:36:33.9449518Z 		{
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2025-10-10T00:36:33.9450023Z 			"size": 1478,
2025-10-10T00:36:33.9450272Z + exit 0
2025-10-10T00:36:33.9450534Z 			"digest": "sha256:9e5860b535d4fa06b166de3400e69fa4b20d8cc6c23f78fdc7934c0a6d1f1714"
2025-10-10T00:36:33.9450825Z 		},
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2025-10-10T00:36:33.9451431Z 			"size": 483,
2025-10-10T00:36:33.9451761Z 			"digest": "sha256:0ba1a45e12052d52ea8f656694d498f71f0a69eff39bbd947bbce968a572d8a3"
2025-10-10T00:36:33.9452041Z 		},
2025-10-10T00:36:33.9452180Z 		{
2025-10-10T00:36:33.9452395Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9452654Z 			"size": 200,
2025-10-10T00:36:33.9452930Z 			"digest": "sha256:3b7d78f74bbea51b906e4ea15594fe2acb7d9e3043958b83e055a634094f95a4"
2025-10-10T00:36:33.9453236Z 		},
2025-10-10T00:36:33.9453383Z 		{
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2025-10-10T00:36:33.9453912Z 			"size": 605,
2025-10-10T00:36:33.9454184Z 			"digest": "sha256:6beb9b78ab6eaddf4fa53a570a1340dcc12f366d89c43be8132808756138f673"
2025-10-10T00:36:33.9454498Z 		},
2025-10-10T00:36:33.9454636Z 		{
2025-10-10T00:36:33.9454841Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9455103Z 			"size": 226,
2025-10-10T00:36:33.9455371Z 			"digest": "sha256:25a0a5e5e819c24a72a56f7db69ddb6304abfb26540096fb7effe392be837bbf"
2025-10-10T00:36:33.9455665Z 		},
2025-10-10T00:36:33.9455795Z 		{
2025-10-10T00:36:33.9456006Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9456263Z 			"size": 828,
2025-10-10T00:36:33.9456523Z 			"digest": "sha256:5227fe91454bb5a30ab04a28c7528d30834ee393e03a1ee7bb0747c3b2814145"
2025-10-10T00:36:33.9456803Z 		},
2025-10-10T00:36:33.9456941Z 		{
2025-10-10T00:36:33.9457154Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9457410Z 			"size": 32,
2025-10-10T00:36:33.9457673Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:33.9457966Z 		},
2025-10-10T00:36:33.9458103Z 		{
2025-10-10T00:36:33.9458315Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:36:33.9512281Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9512538Z 			"size": 8072,
2025-10-10T00:36:33.9513183Z 			"digest": "sha256:23e94f3ab9a7d00135247c0fbf79f69b8b201fc5b30e69fa3fe561831044cc36"
2025-10-10T00:36:33.9513558Z 		},
2025-10-10T00:36:33.9513700Z 		{
2025-10-10T00:36:33.9513918Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9514182Z 			"size": 304,
2025-10-10T00:36:33.9514476Z 			"digest": "sha256:ee028affbc09ac8ee9cc437c341bb81c09df9e6bfd1bdd5da87809d24ebf3d05"
2025-10-10T00:36:33.9514804Z 		},
2025-10-10T00:36:33.9514955Z 		{
2025-10-10T00:36:33.9515189Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9515464Z 			"size": 32,
2025-10-10T00:36:33.9515838Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:33.9516157Z 		},
2025-10-10T00:36:33.9516314Z 		{
2025-10-10T00:36:33.9516519Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9516777Z 			"size": 108,
2025-10-10T00:36:33.9517036Z 			"digest": "sha256:f090f773ba0e46e96a12583445cf1f6741e20aea9362c49517163d0f0bfc0fc1"
2025-10-10T00:36:33.9517322Z 		},
2025-10-10T00:36:33.9517452Z 		{
2025-10-10T00:36:33.9517668Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9517935Z 			"size": 54145665,
2025-10-10T00:36:33.9518205Z 			"digest": "sha256:56f1f8e7f2476d5d6777b43002615dd64f62ba9a6a82678195124a491048faa0"
2025-10-10T00:36:33.9518480Z 		},
2025-10-10T00:36:33.9518616Z 		{
2025-10-10T00:36:33.9518841Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:36:33.9519122Z 			"size": 32,
2025-10-10T00:36:33.9519398Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:36:33.9519706Z 		}
2025-10-10T00:36:33.9519852Z 	]
2025-10-10T00:36:33.9520010Z }
2025-10-10T00:36:33.9567355Z ##[group]Run set -eux
2025-10-10T00:36:33.9567601Z set -eux
2025-10-10T00:36:33.9567906Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-10-10T00:36:33.9568647Z 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
2025-10-10T00:36:33.9574189Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:33.9574444Z env:
2025-10-10T00:36:33.9574611Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:33.9574803Z ##[endgroup]
2025-10-10T00:36:33.9599496Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-10-10T00:36:33.9599850Z + jq --raw-output .SecretString
2025-10-10T00:36:33.9600599Z + docker login --username pytorchbot --password-stdin
2025-10-10T00:36:33.9601137Z + jq -r .docker_hub_readonly_token
2025-10-10T00:36:34.4393076Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:34.4393535Z Login Succeeded
2025-10-10T00:36:34.4398625Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:34.4399110Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:34.4399371Z 
2025-10-10T00:36:34.4496728Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:34.4497009Z tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:36:34.4497293Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-10-10T00:36:34.4502015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.4502289Z env:
2025-10-10T00:36:34.4502824Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.4503447Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.4504026Z ##[endgroup]
2025-10-10T00:36:34.4527275Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.4577998Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-10-10T00:36:34.4578401Z with:
2025-10-10T00:36:34.4578908Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.4579508Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.4579763Z env:
2025-10-10T00:36:34.4579919Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.4580109Z ##[endgroup]
2025-10-10T00:36:34.4595655Z ##[group]Run set -x
2025-10-10T00:36:34.4595859Z set -x
2025-10-10T00:36:34.4596025Z set +e
2025-10-10T00:36:34.4596183Z 
2025-10-10T00:36:34.4596330Z login() {
2025-10-10T00:36:34.4596641Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:36:34.4596960Z }
2025-10-10T00:36:34.4597112Z 
2025-10-10T00:36:34.4597295Z retry () {
2025-10-10T00:36:34.4597487Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:36:34.4597699Z }
2025-10-10T00:36:34.4597846Z 
2025-10-10T00:36:34.4598011Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:36:34.4598220Z 
2025-10-10T00:36:34.4598526Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-10-10T00:36:34.4598936Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-10-10T00:36:34.4599186Z 
2025-10-10T00:36:34.4599347Z set -e
2025-10-10T00:36:34.4599592Z # ignore output since only exit code is used for conditional
2025-10-10T00:36:34.4599946Z # only pull docker image if it's not available locally
2025-10-10T00:36:34.4600306Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-10-10T00:36:34.4600649Z   retry docker pull "${DOCKER_IMAGE}"
2025-10-10T00:36:34.4600878Z fi
2025-10-10T00:36:34.4605251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:36:34.4605510Z env:
2025-10-10T00:36:34.4605679Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:36:34.4606222Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.4606824Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.4607077Z ##[endgroup]
2025-10-10T00:36:34.4631510Z + set +e
2025-10-10T00:36:34.4631887Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.4635302Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.4635645Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:36:34.4635991Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:36:34.9033722Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:36:34.9034611Z Configure a credential helper to remove this warning. See
2025-10-10T00:36:34.9040517Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:36:34.9040964Z 
2025-10-10T00:36:34.9041042Z Login Succeeded
2025-10-10T00:36:34.9060461Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:34.9061268Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-10-10T00:36:35.1117542Z + IMAGE_SIZE=28760.563641548157
2025-10-10T00:36:35.1117884Z + echo 'Compressed size of image in MB: 28760.563641548157'
2025-10-10T00:36:35.1118137Z + set -e
2025-10-10T00:36:35.1119113Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:35.1119769Z Compressed size of image in MB: 28760.563641548157
2025-10-10T00:36:35.1251781Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:35.1252813Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:36:35.3775953Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac: Pulling from pytorch/ci-image
2025-10-10T00:36:35.3776632Z 828c1365039a: Pulling fs layer
2025-10-10T00:36:35.3776886Z d48484dff770: Pulling fs layer
2025-10-10T00:36:35.3777110Z 63f2ff1b73ca: Pulling fs layer
2025-10-10T00:36:35.3777310Z 4a952c1cd3dd: Pulling fs layer
2025-10-10T00:36:35.3777517Z cf3649f6486a: Pulling fs layer
2025-10-10T00:36:35.3777724Z 7a4d1eb936e8: Pulling fs layer
2025-10-10T00:36:35.3777970Z fec720215749: Pulling fs layer
2025-10-10T00:36:35.3778173Z 130af8bfbe27: Pulling fs layer
2025-10-10T00:36:35.3778387Z 193b2b1a9925: Pulling fs layer
2025-10-10T00:36:35.3778592Z 38d02879e15d: Pulling fs layer
2025-10-10T00:36:35.3778802Z fb4547453b1c: Pulling fs layer
2025-10-10T00:36:35.3778998Z 5309e360108e: Pulling fs layer
2025-10-10T00:36:35.3779201Z 9be330fbd7be: Pulling fs layer
2025-10-10T00:36:35.3779412Z 2cf6366f7d11: Pulling fs layer
2025-10-10T00:36:35.3779618Z 4f4fb700ef54: Pulling fs layer
2025-10-10T00:36:35.3779817Z 56c4f51a0131: Pulling fs layer
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2025-10-10T00:36:35.3780234Z 70aeb425e04c: Pulling fs layer
2025-10-10T00:36:35.3780436Z 97346936eb30: Pulling fs layer
2025-10-10T00:36:35.3780634Z 9e5860b535d4: Pulling fs layer
2025-10-10T00:36:35.3780839Z 0ba1a45e1205: Pulling fs layer
2025-10-10T00:36:35.3781046Z 3b7d78f74bbe: Pulling fs layer
2025-10-10T00:36:35.3781254Z 6beb9b78ab6e: Pulling fs layer
2025-10-10T00:36:35.3781457Z 25a0a5e5e819: Pulling fs layer
2025-10-10T00:36:35.3781712Z 5227fe91454b: Pulling fs layer
2025-10-10T00:36:35.3781925Z 66f9a01572e2: Pulling fs layer
2025-10-10T00:36:35.3782126Z 5309e360108e: Waiting
2025-10-10T00:36:35.3782310Z c252c4979145: Pulling fs layer
2025-10-10T00:36:35.3782740Z 9be330fbd7be: Waiting
2025-10-10T00:36:35.3783016Z f9c84d68915b: Pulling fs layer
2025-10-10T00:36:35.3783220Z 2cf6366f7d11: Waiting
2025-10-10T00:36:35.3783394Z 4f4fb700ef54: Waiting
2025-10-10T00:36:35.3783572Z 56c4f51a0131: Waiting
2025-10-10T00:36:35.3783758Z a086fb2969ce: Pulling fs layer
2025-10-10T00:36:35.3783960Z f7b7f9614412: Waiting
2025-10-10T00:36:35.3784144Z a6c00b8f11a4: Pulling fs layer
2025-10-10T00:36:35.3784335Z 70aeb425e04c: Waiting
2025-10-10T00:36:35.3784511Z 97346936eb30: Waiting
2025-10-10T00:36:35.3784689Z fc80c2144458: Pulling fs layer
2025-10-10T00:36:35.3784874Z 9e5860b535d4: Waiting
2025-10-10T00:36:35.3785053Z 3894d677ce34: Pulling fs layer
2025-10-10T00:36:35.3785275Z 0ba1a45e1205: Waiting
2025-10-10T00:36:35.3785460Z be6227b9675e: Pulling fs layer
2025-10-10T00:36:35.3785653Z c5731ed75d33: Pulling fs layer
2025-10-10T00:36:35.3785855Z e3d52ff40b4c: Pulling fs layer
2025-10-10T00:36:35.3786055Z 86ca23246f24: Pulling fs layer
2025-10-10T00:36:35.3786250Z 40e2321b482a: Pulling fs layer
2025-10-10T00:36:35.3786440Z b25589a402ef: Pulling fs layer
2025-10-10T00:36:35.3786637Z 3be3b4544852: Pulling fs layer
2025-10-10T00:36:35.3786833Z ca8d18c1fad6: Pulling fs layer
2025-10-10T00:36:35.3787033Z ad03627b7e8e: Pulling fs layer
2025-10-10T00:36:35.3787227Z b7b658babd8c: Pulling fs layer
2025-10-10T00:36:35.3787428Z 784eefe614e4: Pulling fs layer
2025-10-10T00:36:35.3787621Z 3b7d78f74bbe: Waiting
2025-10-10T00:36:35.3787788Z 6beb9b78ab6e: Waiting
2025-10-10T00:36:35.3787969Z 9084ec9ef863: Pulling fs layer
2025-10-10T00:36:35.3788160Z fec720215749: Waiting
2025-10-10T00:36:35.3788333Z 25a0a5e5e819: Waiting
2025-10-10T00:36:35.3788499Z 130af8bfbe27: Waiting
2025-10-10T00:36:35.3788671Z 5227fe91454b: Waiting
2025-10-10T00:36:35.3789151Z 0a890a7dda70: Pulling fs layer
2025-10-10T00:36:35.3789348Z 66f9a01572e2: Waiting
2025-10-10T00:36:35.3789620Z 5907e244ca85: Pulling fs layer
2025-10-10T00:36:35.3789815Z 7d9cc7db846b: Pulling fs layer
2025-10-10T00:36:35.3790002Z 193b2b1a9925: Waiting
2025-10-10T00:36:35.3790180Z c252c4979145: Waiting
2025-10-10T00:36:35.3790333Z 3894d677ce34: Waiting
2025-10-10T00:36:35.3790496Z f9c84d68915b: Waiting
2025-10-10T00:36:35.3790666Z c6f4775b7985: Pulling fs layer
2025-10-10T00:36:35.3790853Z a086fb2969ce: Waiting
2025-10-10T00:36:35.3791017Z be6227b9675e: Waiting
2025-10-10T00:36:35.3791186Z a6c00b8f11a4: Waiting
2025-10-10T00:36:35.3791366Z ed36b9de7242: Pulling fs layer
2025-10-10T00:36:35.3791556Z fc80c2144458: Waiting
2025-10-10T00:36:35.3791727Z cfc72d1580d6: Pulling fs layer
2025-10-10T00:36:35.3791918Z 38d02879e15d: Waiting
2025-10-10T00:36:35.3792089Z ca8d18c1fad6: Waiting
2025-10-10T00:36:35.3792261Z fb4547453b1c: Waiting
2025-10-10T00:36:35.3792424Z ad03627b7e8e: Waiting
2025-10-10T00:36:35.3792605Z 140888b3776d: Pulling fs layer
2025-10-10T00:36:35.3792799Z b7b658babd8c: Waiting
2025-10-10T00:36:35.3792984Z 43ee72be7eaa: Pulling fs layer
2025-10-10T00:36:35.3793171Z 784eefe614e4: Waiting
2025-10-10T00:36:35.3793344Z 9084ec9ef863: Waiting
2025-10-10T00:36:35.3793513Z 0a890a7dda70: Waiting
2025-10-10T00:36:35.3793689Z 4b724c5636ce: Pulling fs layer
2025-10-10T00:36:35.3793879Z 47122b9b853f: Pulling fs layer
2025-10-10T00:36:35.3794065Z cf3649f6486a: Waiting
2025-10-10T00:36:35.3794242Z 7a4d1eb936e8: Waiting
2025-10-10T00:36:35.3794403Z cfc72d1580d6: Waiting
2025-10-10T00:36:35.3794555Z 5907e244ca85: Waiting
2025-10-10T00:36:35.3794716Z 140888b3776d: Waiting
2025-10-10T00:36:35.3794885Z 501ccd6f6912: Pulling fs layer
2025-10-10T00:36:35.3795058Z 43ee72be7eaa: Waiting
2025-10-10T00:36:35.3795227Z 7c29f290a530: Pulling fs layer
2025-10-10T00:36:35.3795425Z 6f129b7d3f62: Pulling fs layer
2025-10-10T00:36:35.3795602Z 7d9cc7db846b: Waiting
2025-10-10T00:36:35.3795758Z c5731ed75d33: Waiting
2025-10-10T00:36:35.3795923Z f4f4042795ea: Pulling fs layer
2025-10-10T00:36:35.3796106Z a3c70cd222f0: Pulling fs layer
2025-10-10T00:36:35.3796287Z e3d52ff40b4c: Waiting
2025-10-10T00:36:35.3796444Z 0d733ca581b2: Pulling fs layer
2025-10-10T00:36:35.3796630Z 23e94f3ab9a7: Pulling fs layer
2025-10-10T00:36:35.3796810Z ee028affbc09: Pulling fs layer
2025-10-10T00:36:35.3796986Z 86ca23246f24: Waiting
2025-10-10T00:36:35.3797146Z f090f773ba0e: Pulling fs layer
2025-10-10T00:36:35.3797325Z 3be3b4544852: Waiting
2025-10-10T00:36:35.3797485Z 40e2321b482a: Waiting
2025-10-10T00:36:35.3797651Z 56f1f8e7f247: Pulling fs layer
2025-10-10T00:36:35.3797829Z a3c70cd222f0: Waiting
2025-10-10T00:36:35.3797985Z c6f4775b7985: Waiting
2025-10-10T00:36:35.3798140Z ed36b9de7242: Waiting
2025-10-10T00:36:35.3798298Z 0d733ca581b2: Waiting
2025-10-10T00:36:35.3798447Z 501ccd6f6912: Waiting
2025-10-10T00:36:35.3798608Z 4b724c5636ce: Waiting
2025-10-10T00:36:35.3798768Z 23e94f3ab9a7: Waiting
2025-10-10T00:36:35.3798930Z 47122b9b853f: Waiting
2025-10-10T00:36:35.3799083Z 7c29f290a530: Waiting
2025-10-10T00:36:35.3799245Z ee028affbc09: Waiting
2025-10-10T00:36:35.3799410Z 6f129b7d3f62: Waiting
2025-10-10T00:36:35.3799573Z f090f773ba0e: Waiting
2025-10-10T00:36:35.3799727Z b25589a402ef: Waiting
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2025-10-10T00:36:35.4961015Z d48484dff770: Verifying Checksum
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2025-10-10T00:46:40.9605129Z Digest: sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
2025-10-10T00:46:41.0897423Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:41.1364604Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:46:41.1412524Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:46:41.1413639Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:46:41.1422349Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:41.1422855Z env:
2025-10-10T00:46:41.1423048Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:41.1423262Z ##[endgroup]
2025-10-10T00:46:41.1505439Z Prepare all required actions
2025-10-10T00:46:41.1666965Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-10-10T00:46:41.1667261Z with:
2025-10-10T00:46:41.1667915Z   github-token: ***
2025-10-10T00:46:41.1668092Z env:
2025-10-10T00:46:41.1668273Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:41.1668478Z ##[endgroup]
2025-10-10T00:46:41.1804594Z ##[group]Run set -eux
2025-10-10T00:46:41.1804834Z set -eux
2025-10-10T00:46:41.1805154Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:46:41.1811265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:41.1811538Z env:
2025-10-10T00:46:41.1811714Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:41.1812171Z   GITHUB_TOKEN: ***
2025-10-10T00:46:41.1812362Z ##[endgroup]
2025-10-10T00:46:41.1836262Z + python3 .github/scripts/get_workflow_job_id.py 18392306145 i-0beba8ef4b109a32f
2025-10-10T00:46:42.1008002Z Setting output job-id=52406535395
2025-10-10T00:46:42.1008727Z Setting output job-name=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:46:42.1254202Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:46:42.1254735Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:46:42.1255552Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-10-10T00:46:42.1256113Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:46:42.1262254Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:42.1262764Z env:
2025-10-10T00:46:42.1262967Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:42.1263182Z   JOB_ID: 52406535395
2025-10-10T00:46:42.1263489Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:46:42.1263834Z   WORKFLOW_NAME: inductor
2025-10-10T00:46:42.1264081Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:46:42.1264313Z   MONITOR_LOG_INTERVAL: 5
2025-10-10T00:46:42.1264512Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-10-10T00:46:42.1264715Z ##[endgroup]
2025-10-10T00:46:42.8916114Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:46:43.2144451Z Collecting psutil==5.9.8
2025-10-10T00:46:43.2326866Z   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)
2025-10-10T00:46:43.3203906Z Collecting dataclasses_json==0.6.7
2025-10-10T00:46:43.3248869Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-10-10T00:46:43.4084758Z Collecting nvidia-ml-py==11.525.84
2025-10-10T00:46:43.4131427Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-10-10T00:46:43.5171671Z Collecting typing-inspect<1,>=0.4.0
2025-10-10T00:46:43.5222924Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-10-10T00:46:43.7096278Z Collecting marshmallow<4.0.0,>=3.18.0
2025-10-10T00:46:43.7170643Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-10-10T00:46:43.8659234Z Collecting packaging>=17.0
2025-10-10T00:46:43.8699560Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-10-10T00:46:43.9782408Z Collecting typing-extensions>=3.7.4
2025-10-10T00:46:43.9831706Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-10-10T00:46:44.0810643Z Collecting mypy-extensions>=0.3.0
2025-10-10T00:46:44.0853252Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-10-10T00:46:44.2713890Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-10-10T00:46:45.1719182Z 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
2025-10-10T00:46:45.4649872Z Prepare all required actions
2025-10-10T00:46:45.4650210Z Getting action download info
2025-10-10T00:46:45.6471458Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-10-10T00:46:46.0187094Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-10-10T00:46:46.8347904Z ##[group]Run ./.github/actions/download-build-artifacts
2025-10-10T00:46:46.8348197Z with:
2025-10-10T00:46:46.8348405Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:46.8348647Z   s3-bucket: gha-artifacts
2025-10-10T00:46:46.8348859Z env:
2025-10-10T00:46:46.8349038Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:46.8349240Z ##[endgroup]
2025-10-10T00:46:46.8377584Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:46:46.8377845Z with:
2025-10-10T00:46:46.8378050Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:46:46.8378298Z   s3-bucket: gha-artifacts
2025-10-10T00:46:46.8378542Z   region: us-east-1
2025-10-10T00:46:46.8378721Z env:
2025-10-10T00:46:46.8378892Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:46.8379093Z ##[endgroup]
2025-10-10T00:46:47.2450128Z (node:48597) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:46:47.2455548Z 
2025-10-10T00:46:47.2456261Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:46:47.2456747Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:46:47.2457217Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:46:47.5331519Z Found 1 objects with prefix pytorch/pytorch/18392306145/linux-jammy-py3.10-gcc11-build/
2025-10-10T00:46:47.5337185Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:46:53.0357720Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:46:53.0362914Z Artifact download has finished successfully
2025-10-10T00:46:53.0549817Z ##[group]Run unzip -o artifacts.zip
2025-10-10T00:46:53.0550073Z unzip -o artifacts.zip
2025-10-10T00:46:53.0555339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:46:53.0555605Z env:
2025-10-10T00:46:53.0555769Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:46:53.0555984Z ##[endgroup]
2025-10-10T00:46:53.0618342Z Archive:  artifacts.zip
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2025-10-10T00:47:00.3272389Z ##[group]Run rm artifacts.zip
2025-10-10T00:47:00.3272625Z rm artifacts.zip
2025-10-10T00:47:00.3278125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:00.3278404Z env:
2025-10-10T00:47:00.3278570Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:00.3278781Z ##[endgroup]
2025-10-10T00:47:00.3794011Z ##[group]Run df -H
2025-10-10T00:47:00.3794223Z df -H
2025-10-10T00:47:00.3798996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:00.3799264Z env:
2025-10-10T00:47:00.3799454Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:00.3799651Z ##[endgroup]
2025-10-10T00:47:00.3839164Z Filesystem        Size  Used Avail Use% Mounted on
2025-10-10T00:47:00.3839484Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-10-10T00:47:00.3841252Z tmpfs              67G     0   67G   0% /dev/shm
2025-10-10T00:47:00.3841545Z tmpfs              27G  791k   27G   1% /run
2025-10-10T00:47:00.3841849Z /dev/nvme0n1p1    215G   71G  145G  33% /
2025-10-10T00:47:00.3842095Z tmpfs              67G   13k   67G   1% /tmp
2025-10-10T00:47:00.3842367Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-10-10T00:47:00.3869611Z Prepare all required actions
2025-10-10T00:47:00.3870716Z Getting action download info
2025-10-10T00:47:00.5310032Z ##[group]Run ./.github/actions/download-td-artifacts
2025-10-10T00:47:00.5310336Z with:
2025-10-10T00:47:00.5310503Z env:
2025-10-10T00:47:00.5310674Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:00.5310864Z ##[endgroup]
2025-10-10T00:47:00.5498760Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:47:00.5499039Z with:
2025-10-10T00:47:00.5499211Z   name: td_results
2025-10-10T00:47:00.5499407Z   s3-bucket: gha-artifacts
2025-10-10T00:47:00.5499616Z   region: us-east-1
2025-10-10T00:47:00.5499793Z env:
2025-10-10T00:47:00.5499960Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:00.5500154Z ##[endgroup]
2025-10-10T00:47:01.1872836Z (node:48618) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:47:01.1873196Z 
2025-10-10T00:47:01.1873404Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:47:01.1873807Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:47:01.1874191Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:47:01.2919629Z Found 0 objects with prefix pytorch/pytorch/18392306145/td_results/
2025-10-10T00:47:01.2925214Z Artifact download has finished successfully
2025-10-10T00:47:01.3107888Z ##[group]Run mkdir -p .additional_ci_files
2025-10-10T00:47:01.3108173Z mkdir -p .additional_ci_files
2025-10-10T00:47:01.3108482Z mv td_results.json .additional_ci_files/td_results.json || true
2025-10-10T00:47:01.3113780Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:01.3114044Z env:
2025-10-10T00:47:01.3114224Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:01.3114430Z ##[endgroup]
2025-10-10T00:47:01.3169325Z mv: cannot stat 'td_results.json': No such file or directory
2025-10-10T00:47:01.3197954Z ##[group]Run .github/scripts/parse_ref.py
2025-10-10T00:47:01.3198211Z .github/scripts/parse_ref.py
2025-10-10T00:47:01.3203094Z shell: /usr/bin/bash -e {0}
2025-10-10T00:47:01.3203292Z env:
2025-10-10T00:47:01.3203570Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:01.3203786Z ##[endgroup]
2025-10-10T00:47:01.3406863Z Setting output branch=main
2025-10-10T00:47:01.3509773Z Prepare all required actions
2025-10-10T00:47:01.3510168Z Getting action download info
2025-10-10T00:47:01.4892710Z ##[group]Run ./.github/actions/filter-test-configs
2025-10-10T00:47:01.4892971Z with:
2025-10-10T00:47:01.4893460Z   github-token: ***
2025-10-10T00:47:01.4895178Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:47:01.4897098Z   job-name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:01.4897439Z env:
2025-10-10T00:47:01.4897618Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:01.4897821Z ##[endgroup]
2025-10-10T00:47:01.4936101Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:47:01.4936378Z with:
2025-10-10T00:47:01.4936568Z   shell: bash
2025-10-10T00:47:01.4936774Z   timeout_minutes: 10
2025-10-10T00:47:01.4936988Z   max_attempts: 5
2025-10-10T00:47:01.4937196Z   retry_wait_seconds: 30
2025-10-10T00:47:01.4937790Z   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

2025-10-10T00:47:01.4938402Z   polling_interval_seconds: 1
2025-10-10T00:47:01.4938646Z   warning_on_retry: true
2025-10-10T00:47:01.4938866Z   continue_on_error: false
2025-10-10T00:47:01.4939086Z env:
2025-10-10T00:47:01.4939275Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:01.4939733Z   GITHUB_TOKEN: ***
2025-10-10T00:47:01.4939934Z ##[endgroup]
2025-10-10T00:47:01.5886505Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-10-10T00:47:01.7739444Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:47:01.8611042Z Collecting requests==2.27.1
2025-10-10T00:47:01.8789215Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-10-10T00:47:02.0104103Z Collecting pyyaml==6.0.2
2025-10-10T00:47:02.0158255Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-10-10T00:47:02.2915843Z Collecting charset-normalizer~=2.0.0
2025-10-10T00:47:02.2968572Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-10-10T00:47:02.3434241Z Collecting certifi>=2017.4.17
2025-10-10T00:47:02.3490889Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-10-10T00:47:02.3610029Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-10-10T00:47:02.3611059Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-10-10T00:47:02.4262773Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-10-10T00:47:02.7280940Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-10-10T00:47:03.5655810Z Command completed after 1 attempt(s).
2025-10-10T00:47:03.5911831Z ##[group]Run set -x
2025-10-10T00:47:03.5912121Z set -x
2025-10-10T00:47:03.5912336Z 
2025-10-10T00:47:03.5912902Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:47:03.5913465Z # in runner workspace
2025-10-10T00:47:03.5913930Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-10-10T00:47:03.5918958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:03.5919220Z env:
2025-10-10T00:47:03.5919390Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.5919592Z ##[endgroup]
2025-10-10T00:47:03.5944902Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-10-10T00:47:03.6094049Z Setting output branch=main
2025-10-10T00:47:03.6200056Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:47:03.6200358Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:47:03.6200592Z echo "Job name: ${JOB_NAME}"
2025-10-10T00:47:03.6200806Z 
2025-10-10T00:47:03.6201077Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:47:03.6201389Z # in runner workspace
2025-10-10T00:47:03.6201709Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-10-10T00:47:03.6202102Z   --workflow "${GITHUB_WORKFLOW}" \
2025-10-10T00:47:03.6202353Z   --job-name "${JOB_NAME}" \
2025-10-10T00:47:03.6204102Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-10-10T00:47:03.6205811Z   --selected-test-configs "" \
2025-10-10T00:47:03.6206054Z   --pr-number "${PR_NUMBER}" \
2025-10-10T00:47:03.6206278Z   --tag "${TAG}" \
2025-10-10T00:47:03.6206487Z   --event-name "${EVENT_NAME}" \
2025-10-10T00:47:03.6206720Z   --schedule "${SCHEDULE}" \
2025-10-10T00:47:03.6206938Z   --branch "${HEAD_BRANCH}"
2025-10-10T00:47:03.6211967Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:03.6212226Z env:
2025-10-10T00:47:03.6212395Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.6213301Z   GITHUB_TOKEN: ***
2025-10-10T00:47:03.6213621Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:03.6213950Z   PR_NUMBER: 
2025-10-10T00:47:03.6214115Z   TAG: 
2025-10-10T00:47:03.6214289Z   EVENT_NAME: push
2025-10-10T00:47:03.6214472Z   SCHEDULE: 
2025-10-10T00:47:03.6214647Z   HEAD_BRANCH: main
2025-10-10T00:47:03.6214832Z ##[endgroup]
2025-10-10T00:47:03.6240601Z Workflow: inductor
2025-10-10T00:47:03.6241370Z Job name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:03.7908987Z Setting output keep-going=True
2025-10-10T00:47:03.7915182Z Setting output ci-verbose-test-logs=False
2025-10-10T00:47:03.7921275Z Setting output ci-test-showlocals=False
2025-10-10T00:47:03.7926855Z Setting output ci-no-test-timeout=False
2025-10-10T00:47:03.7932207Z Setting output ci-no-td=False
2025-10-10T00:47:03.7932540Z Setting output ci-td-distributed=False
2025-10-10T00:47:03.7932787Z Setting output is-unstable=False
2025-10-10T00:47:03.7933025Z Setting output reenabled-issues=
2025-10-10T00:47:03.7935172Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:47:03.7937197Z Setting output is-test-matrix-empty=False
2025-10-10T00:47:03.8212459Z ##[group]Run echo "Filtered matrix:"
2025-10-10T00:47:03.8213011Z echo "Filtered matrix:"
2025-10-10T00:47:03.8214939Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-10-10T00:47:03.8216698Z 
2025-10-10T00:47:03.8216878Z echo
2025-10-10T00:47:03.8217088Z echo "Is the current job unstable? False"
2025-10-10T00:47:03.8217341Z 
2025-10-10T00:47:03.8217511Z echo
2025-10-10T00:47:03.8217715Z echo "Is keep-going label set? True"
2025-10-10T00:47:03.8217949Z 
2025-10-10T00:47:03.8218113Z echo
2025-10-10T00:47:03.8218299Z echo "Reenabled issues? "
2025-10-10T00:47:03.8223785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:03.8224067Z env:
2025-10-10T00:47:03.8224256Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.8224472Z ##[endgroup]
2025-10-10T00:47:03.8249991Z Filtered matrix:
2025-10-10T00:47:03.8255227Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-10-10T00:47:03.8256900Z 
2025-10-10T00:47:03.8257048Z Is the current job unstable? False
2025-10-10T00:47:03.8257207Z 
2025-10-10T00:47:03.8257308Z Is keep-going label set? True
2025-10-10T00:47:03.8257449Z 
2025-10-10T00:47:03.8257533Z Reenabled issues? 
2025-10-10T00:47:03.8344449Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:47:03.8344863Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:47:03.8349725Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:03.8349998Z env:
2025-10-10T00:47:03.8350169Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.8350362Z   JOB_TIMEOUT: 240
2025-10-10T00:47:03.8350537Z ##[endgroup]
2025-10-10T00:47:03.8516566Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:47:03.8516963Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:47:03.8517257Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:47:03.8521837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:47:03.8522086Z env:
2025-10-10T00:47:03.8522256Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.8522445Z ##[endgroup]
2025-10-10T00:47:03.8688091Z ##[group]Run set -x
2025-10-10T00:47:03.8688371Z set -x
2025-10-10T00:47:03.8688548Z 
2025-10-10T00:47:03.8688742Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-10-10T00:47:03.8689052Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-10-10T00:47:03.8689320Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-10-10T00:47:03.8689567Z   TEST_COMMAND=.ci/onnx/test.sh
2025-10-10T00:47:03.8689775Z else
2025-10-10T00:47:03.8689988Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:47:03.8690216Z fi
2025-10-10T00:47:03.8690365Z 
2025-10-10T00:47:03.8690543Z # Leaving 1GB for the runner and other things
2025-10-10T00:47:03.8690909Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-10-10T00:47:03.8691480Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-10-10T00:47:03.8691969Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-10-10T00:47:03.8692328Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-10-10T00:47:03.8692623Z 
2025-10-10T00:47:03.8692824Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:47:03.8693071Z   SHM_OPTS=
2025-10-10T00:47:03.8693252Z   JENKINS_USER=
2025-10-10T00:47:03.8693504Z   # ensure that docker container cleanly exits in 12 hours
2025-10-10T00:47:03.8693828Z   # if for some reason cleanup action doesn't stop container
2025-10-10T00:47:03.8694104Z   # when job is cancelled
2025-10-10T00:47:03.8694316Z   DOCKER_SHELL_CMD="sleep 12h"
2025-10-10T00:47:03.8694508Z else
2025-10-10T00:47:03.8694692Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-10-10T00:47:03.8694919Z   JENKINS_USER="--user jenkins"
2025-10-10T00:47:03.8695130Z   DOCKER_SHELL_CMD=
2025-10-10T00:47:03.8695312Z fi
2025-10-10T00:47:03.8695469Z 
2025-10-10T00:47:03.8695707Z # detached container should get cleaned up by teardown_ec2_linux
2025-10-10T00:47:03.8696058Z # TODO: Stop building test binaries as part of the build phase
2025-10-10T00:47:03.8696450Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-10-10T00:47:03.8696918Z # shellcheck disable=SC2086,SC2090
2025-10-10T00:47:03.8697170Z container_name=$(docker run \
2025-10-10T00:47:03.8697404Z   ${GPU_FLAG:-} \
2025-10-10T00:47:03.8697641Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-10-10T00:47:03.8697891Z   -e BUILD_ENVIRONMENT \
2025-10-10T00:47:03.8698118Z   -e PR_NUMBER \
2025-10-10T00:47:03.8698332Z   -e GITHUB_ACTIONS \
2025-10-10T00:47:03.8698554Z   -e GITHUB_REPOSITORY \
2025-10-10T00:47:03.8698774Z   -e GITHUB_WORKFLOW \
2025-10-10T00:47:03.8698994Z   -e GITHUB_JOB \
2025-10-10T00:47:03.8699200Z   -e GITHUB_RUN_ID \
2025-10-10T00:47:03.8699416Z   -e GITHUB_RUN_NUMBER \
2025-10-10T00:47:03.8699620Z   -e GITHUB_RUN_ATTEMPT \
2025-10-10T00:47:03.8699831Z   -e JOB_ID \
2025-10-10T00:47:03.8700021Z   -e JOB_NAME \
2025-10-10T00:47:03.8700211Z   -e BASE_SHA \
2025-10-10T00:47:03.8700388Z   -e BRANCH \
2025-10-10T00:47:03.8700697Z   -e SHA1 \
2025-10-10T00:47:03.8700894Z   -e AWS_DEFAULT_REGION \
2025-10-10T00:47:03.8701115Z   -e IN_WHEEL_TEST \
2025-10-10T00:47:03.8701317Z   -e SHARD_NUMBER \
2025-10-10T00:47:03.8701526Z   -e TEST_CONFIG \
2025-10-10T00:47:03.8701734Z   -e NUM_TEST_SHARDS \
2025-10-10T00:47:03.8701954Z   -e REENABLED_ISSUES \
2025-10-10T00:47:03.8702174Z   -e CONTINUE_THROUGH_ERROR \
2025-10-10T00:47:03.8702855Z   -e VERBOSE_TEST_LOGS \
2025-10-10T00:47:03.8703105Z   -e TEST_SHOWLOCALS \
2025-10-10T00:47:03.8703320Z   -e NO_TEST_TIMEOUT \
2025-10-10T00:47:03.8703518Z   -e NO_TD \
2025-10-10T00:47:03.8703724Z   -e TD_DISTRIBUTED \
2025-10-10T00:47:03.8703930Z   -e PR_LABELS \
2025-10-10T00:47:03.8704155Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-10-10T00:47:03.8704385Z   -e SCCACHE_BUCKET \
2025-10-10T00:47:03.8704592Z   -e SCCACHE_REGION \
2025-10-10T00:47:03.8704796Z   -e XLA_CUDA \
2025-10-10T00:47:03.8705014Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-10-10T00:47:03.8705266Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-10-10T00:47:03.8705516Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-10-10T00:47:03.8705771Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-10-10T00:47:03.8706012Z   -e HUGGING_FACE_HUB_TOKEN \
2025-10-10T00:47:03.8706251Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-10-10T00:47:03.8706488Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-10-10T00:47:03.8706714Z   -e DASHBOARD_TAG \
2025-10-10T00:47:03.8706925Z   -e ARTIFACTS_FILE_SUFFIX \
2025-10-10T00:47:03.8707183Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-10-10T00:47:03.8707466Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-10-10T00:47:03.8707766Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-10-10T00:47:03.8708055Z   --security-opt seccomp=unconfined \
2025-10-10T00:47:03.8708309Z   --cap-add=SYS_PTRACE \
2025-10-10T00:47:03.8708613Z   --ipc=host \
2025-10-10T00:47:03.8708809Z   ${SHM_OPTS} \
2025-10-10T00:47:03.8709003Z   --tty \
2025-10-10T00:47:03.8709192Z   --detach \
2025-10-10T00:47:03.8709403Z   --name="${container_name}" \
2025-10-10T00:47:03.8709634Z   ${JENKINS_USER} \
2025-10-10T00:47:03.8709890Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-10-10T00:47:03.8710171Z   -w /var/lib/jenkins/workspace \
2025-10-10T00:47:03.8710400Z   "${DOCKER_IMAGE}" \
2025-10-10T00:47:03.8710599Z   ${DOCKER_SHELL_CMD}
2025-10-10T00:47:03.8710795Z )
2025-10-10T00:47:03.8711039Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-10-10T00:47:03.8711320Z 
2025-10-10T00:47:03.8711513Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:47:03.8711912Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-10-10T00:47:03.8712257Z fi
2025-10-10T00:47:03.8712417Z 
2025-10-10T00:47:03.8712989Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-10-10T00:47:03.8717890Z shell: /usr/bin/bash -e {0}
2025-10-10T00:47:03.8718094Z env:
2025-10-10T00:47:03.8718273Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:47:03.8718520Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-10-10T00:47:03.8718772Z   PR_NUMBER: 
2025-10-10T00:47:03.8718957Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-10-10T00:47:03.8719183Z   GITHUB_WORKFLOW: inductor
2025-10-10T00:47:03.8719376Z   GITHUB_JOB: test
2025-10-10T00:47:03.8719553Z   GITHUB_RUN_ID: 18392306145
2025-10-10T00:47:03.8719750Z   GITHUB_RUN_NUMBER: 158985
2025-10-10T00:47:03.8719951Z   GITHUB_RUN_ATTEMPT: 1
2025-10-10T00:47:03.8720246Z   JOB_ID: 52406535395
2025-10-10T00:47:03.8720523Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:03.8720830Z   BRANCH: main
2025-10-10T00:47:03.8721025Z   SHA1: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:03.8721271Z   BASE_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:03.8721535Z   TEST_CONFIG: dynamic_cpu_inductor_timm
2025-10-10T00:47:03.8721746Z   SHARD_NUMBER: 2
2025-10-10T00:47:03.8721996Z   NUM_TEST_SHARDS: 2
2025-10-10T00:47:03.8722162Z   EXTRA_FLAGS: 
2025-10-10T00:47:03.8722328Z   OP_BENCHMARK_TESTS: 
2025-10-10T00:47:03.8722503Z   REENABLED_ISSUES: 
2025-10-10T00:47:03.8722681Z   CONTINUE_THROUGH_ERROR: True
2025-10-10T00:47:03.8722867Z   VERBOSE_TEST_LOGS: False
2025-10-10T00:47:03.8723056Z   TEST_SHOWLOCALS: False
2025-10-10T00:47:03.8723239Z   NO_TEST_TIMEOUT: False
2025-10-10T00:47:03.8723413Z   NO_TD: False
2025-10-10T00:47:03.8723571Z   TD_DISTRIBUTED: False
2025-10-10T00:47:03.8723794Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-10-10T00:47:03.8724039Z   SCCACHE_REGION: us-east-1
2025-10-10T00:47:03.8724220Z   SHM_SIZE: 1g
2025-10-10T00:47:03.8724723Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:47:03.8725236Z   XLA_CUDA: 
2025-10-10T00:47:03.8725481Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:47:03.8725778Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-10-10T00:47:03.8725998Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-10-10T00:47:03.8726190Z   DASHBOARD_TAG: 
2025-10-10T00:47:03.8726537Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-10-10T00:47:03.8726814Z   HUGGING_FACE_HUB_TOKEN: ***
2025-10-10T00:47:03.8727085Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-10-10T00:47:03.8727402Z   ARTIFACTS_FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:47:03.8727714Z ##[endgroup]
2025-10-10T00:47:03.8753433Z + [[ dynamic_cpu_inductor_timm == \m\u\l\t\i\g\p\u ]]
2025-10-10T00:47:03.8753887Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-10-10T00:47:03.8761147Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:47:03.8765640Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-10-10T00:47:04.0156112Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-10-10T00:47:04.0156451Z + TOTAL_MEMORY_WITH_SWAP=125
2025-10-10T00:47:04.0156818Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:47:04.0157143Z + SHM_OPTS=--shm-size=1g
2025-10-10T00:47:04.0157334Z + JENKINS_USER='--user jenkins'
2025-10-10T00:47:04.0157522Z + DOCKER_SHELL_CMD=
2025-10-10T00:47:04.0167537Z +++ nproc --ignore=2
2025-10-10T00:47:04.0340689Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=30 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=122g --memory-swap=125g --env-file=/tmp/github_env_18392306145 --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-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:47:15.1344852Z + container_name=6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:47:15.1345733Z + echo DOCKER_CONTAINER_ID=6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:47:15.1350573Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:47:15.1354207Z ++ echo dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:15.1358091Z + docker exec -t 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b sh -c 'python3 -m pip install dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-10-10T00:47:15.5793730Z Processing ./dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git344e636)
2025-10-10T00:47:15.8056119Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.18.0)
2025-10-10T00:47:15.8060311Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (4.15.0)
2025-10-10T00:47:15.8061753Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.13.3)
2025-10-10T00:47:15.8064019Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2.8.8)
2025-10-10T00:47:15.8068642Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.1.6)
2025-10-10T00:47:15.8069522Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2025.9.0)
2025-10-10T00:47:15.8081633Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.3.0)
2025-10-10T00:47:15.8399396Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.22.4)
2025-10-10T00:47:15.8410424Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.3.0)
2025-10-10T00:47:15.8460010Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.0.3)
2025-10-10T00:47:16.6530620Z Installing collected packages: torch
2025-10-10T00:47:24.3991661Z 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.
2025-10-10T00:47:24.3992493Z dall-e 0.1 requires torchvision, which is not installed.
2025-10-10T00:47:24.3992843Z effdet 0.4.1 requires torchvision, which is not installed.
2025-10-10T00:47:24.3993215Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-10-10T00:47:24.3993648Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-10-10T00:47:24.3994191Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-10-10T00:47:24.3994738Z timm 1.0.14 requires torchvision, which is not installed.
2025-10-10T00:47:24.3995118Z Successfully installed torch-2.10.0a0+git344e636
2025-10-10T00:47:24.5133338Z + export TERM=vt100
2025-10-10T00:47:24.5133595Z + TERM=vt100
2025-10-10T00:47:24.5138215Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:47:24.5139414Z + source .ci/pytorch/common.sh
2025-10-10T00:47:24.5144160Z +++ dirname .ci/pytorch/common.sh
2025-10-10T00:47:24.5162249Z ++ source .ci/pytorch/common_utils.sh
2025-10-10T00:47:24.5162534Z +++ declare -f -t trap_add
2025-10-10T00:47:24.5162751Z ++ set -ex -o pipefail
2025-10-10T00:47:24.5162984Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:47:24.5163242Z ++ BUILD_TEST_LIBTORCH=0
2025-10-10T00:47:24.5173371Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:47:24.5176232Z + source .ci/pytorch/common-build.sh
2025-10-10T00:47:24.5176739Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-10-10T00:47:24.5187200Z ++++ dirname .ci/pytorch/common-build.sh
2025-10-10T00:47:24.5191540Z +++ cd .ci/pytorch
2025-10-10T00:47:24.5192101Z +++ pwd -P
2025-10-10T00:47:24.5194339Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-10-10T00:47:24.5194720Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-10-10T00:47:24.5194983Z ++ which sccache
2025-10-10T00:47:24.5210450Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-10-10T00:47:24.5210889Z ++ sccache --stop-server
2025-10-10T00:47:24.5240327Z ++ true
2025-10-10T00:47:24.5240774Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-10-10T00:47:24.5252310Z ++ trap_add sccache_epilogue EXIT
2025-10-10T00:47:24.5252768Z ++ trap_add_cmd=sccache_epilogue
2025-10-10T00:47:24.5253119Z ++ shift
2025-10-10T00:47:24.5253322Z ++ for trap_add_name in "$@"
2025-10-10T00:47:24.5260150Z ++++ trap -p EXIT
2025-10-10T00:47:24.5260408Z +++ eval 'extract_trap_cmd '
2025-10-10T00:47:24.5260635Z ++++ extract_trap_cmd
2025-10-10T00:47:24.5260829Z ++++ printf '%s\n' ''
2025-10-10T00:47:24.5261049Z +++ printf '%s\n' sccache_epilogue
2025-10-10T00:47:24.5261260Z ++ trap -- '
2025-10-10T00:47:24.5261440Z sccache_epilogue' EXIT
2025-10-10T00:47:24.5261624Z ++ [[ -n 1 ]]
2025-10-10T00:47:24.5261907Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-10-10T00:47:24.5262302Z Skipping sccache server initialization, setting environment variables
2025-10-10T00:47:24.5263019Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:47:24.5263253Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:47:24.5263525Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:47:24.5263843Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:47:24.5275580Z ++ export RUST_LOG=sccache::server=error
2025-10-10T00:47:24.5275881Z ++ RUST_LOG=sccache::server=error
2025-10-10T00:47:24.5276115Z ++ sccache --zero-stats
2025-10-10T00:47:24.6620623Z Statistics zeroed.
2025-10-10T00:47:24.6621055Z ++ which ccache
2025-10-10T00:47:24.6644474Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-10-10T00:47:24.6644955Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-10-10T00:47:24.6645368Z + [[ -d /var/lib/jenkins/workspace ]]
2025-10-10T00:47:24.6649119Z ++ stat -c %u /var/lib/jenkins/workspace
2025-10-10T00:47:24.6658512Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-10-10T00:47:24.6658786Z + trap_add cleanup_workspace EXIT
2025-10-10T00:47:24.6659014Z + trap_add_cmd=cleanup_workspace
2025-10-10T00:47:24.6659225Z + shift
2025-10-10T00:47:24.6659401Z + for trap_add_name in "$@"
2025-10-10T00:47:24.6662961Z +++ trap -p EXIT
2025-10-10T00:47:24.6668327Z ++ eval 'extract_trap_cmd trap -- '\''
2025-10-10T00:47:24.6668631Z sccache_epilogue'\'' EXIT'
2025-10-10T00:47:24.6668846Z +++ extract_trap_cmd trap -- '
2025-10-10T00:47:24.6669058Z sccache_epilogue' EXIT
2025-10-10T00:47:24.6669251Z +++ printf '%s\n' '
2025-10-10T00:47:24.6669434Z sccache_epilogue'
2025-10-10T00:47:24.6669625Z ++ printf '%s\n' cleanup_workspace
2025-10-10T00:47:24.6669847Z + trap -- '
2025-10-10T00:47:24.6670039Z sccache_epilogue
2025-10-10T00:47:24.6670273Z cleanup_workspace' EXIT
2025-10-10T00:47:24.6670502Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-10-10T00:47:25.1158807Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-10-10T00:47:25.1168267Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:47:25.1168751Z + echo 'Environment variables:'
2025-10-10T00:47:25.1169106Z Environment variables:
2025-10-10T00:47:25.1169396Z + env
2025-10-10T00:47:25.1176805Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:47:25.1177135Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:47:25.1177852Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:47:25.1178469Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:47:25.1178708Z HOSTNAME=6bacf9538a0c
2025-10-10T00:47:25.1179136Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1179845Z GITHUB_ACTION=__run_2
2025-10-10T00:47:25.1180062Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:47:25.1180286Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:47:25.1180507Z TEST_CONFIG=dynamic_cpu_inductor_timm
2025-10-10T00:47:25.1180746Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:47:25.1180989Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:47:25.1181213Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:47:25.1181499Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:47:25.1181736Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:47:25.1181986Z GITHUB_REF_TYPE=branch
2025-10-10T00:47:25.1182204Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1182443Z XLA_CUDA=
2025-10-10T00:47:25.1182862Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:47:25.1183208Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:47:25.1183804Z ***
2025-10-10T00:47:25.1183979Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:47:25.1184194Z GITHUB_ACTIONS=true
2025-10-10T00:47:25.1184424Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:47:25.1184701Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1184962Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1185324Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:47:25.1185661Z UCC_HOME=/usr
2025-10-10T00:47:25.1185839Z VERBOSE_TEST_LOGS=False
2025-10-10T00:47:25.1186032Z GITHUB_REF=refs/heads/main
2025-10-10T00:47:25.1186225Z SHARD_NUMBER=2
2025-10-10T00:47:25.1186407Z GITHUB_REF_PROTECTED=true
2025-10-10T00:47:25.1186606Z HOME=/var/lib/jenkins
2025-10-10T00:47:25.1186813Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:47:25.1187056Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:47:25.1187270Z UCX_COMMIT=
2025-10-10T00:47:25.1187431Z USE_SYSTEM_NCCL=1
2025-10-10T00:47:25.1187602Z NUM_TEST_SHARDS=2
2025-10-10T00:47:25.1187772Z UCX_HOME=/usr
2025-10-10T00:47:25.1188174Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1188733Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:25.1189237Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1189753Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:47:25.1190076Z GITHUB_EVENT_NAME=push
2025-10-10T00:47:25.1190259Z DASHBOARD_TAG=
2025-10-10T00:47:25.1190478Z GITHUB_RUN_ID=18392306145
2025-10-10T00:47:25.1190673Z INSTALLED_OPENBLAS=
2025-10-10T00:47:25.1191130Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1191568Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:47:25.1191769Z PR_NUMBER=
2025-10-10T00:47:25.1191923Z DESIRED_CUDA=
2025-10-10T00:47:25.1192094Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:47:25.1192285Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:47:25.1192526Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:47:25.1192759Z TERM=vt100
2025-10-10T00:47:25.1192922Z INSTALLED_VISION=yes
2025-10-10T00:47:25.1193101Z BRANCH=main
2025-10-10T00:47:25.1193271Z SCCACHE_REGION=us-east-1
2025-10-10T00:47:25.1193463Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:47:25.1193668Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:47:25.1194020Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:47:25.1194488Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:47:25.1194710Z UCC_COMMIT=
2025-10-10T00:47:25.1194880Z REENABLED_ISSUES=
2025-10-10T00:47:25.1195059Z DOCS=yes
2025-10-10T00:47:25.1195229Z SHLVL=1
2025-10-10T00:47:25.1195378Z MAX_JOBS=30
2025-10-10T00:47:25.1195547Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:47:25.1195795Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1196052Z GITHUB_REF_NAME=main
2025-10-10T00:47:25.1196494Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:47:25.1196792Z GITHUB_JOB=test
2025-10-10T00:47:25.1196970Z NO_TEST_TIMEOUT=False
2025-10-10T00:47:25.1197154Z TD_DISTRIBUTED=False
2025-10-10T00:47:25.1197343Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:47:25.1197560Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:47:25.1197756Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:47:25.1197955Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:47:25.1198453Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:47:25.1198964Z GITHUB_BASE_REF=
2025-10-10T00:47:25.1199141Z INSTALLED_ACL=
2025-10-10T00:47:25.1199441Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:47:25.1199773Z CI=true
2025-10-10T00:47:25.1199948Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:47:25.1200216Z RUST_LOG=sccache::server=error
2025-10-10T00:47:25.1200416Z JOB_ID=52406535395
2025-10-10T00:47:25.1200587Z GITHUB_HEAD_REF=
2025-10-10T00:47:25.1200764Z GITHUB_ACTION_REF=
2025-10-10T00:47:25.1200992Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:47:25.1201238Z TEST_SHOWLOCALS=False
2025-10-10T00:47:25.1201417Z GITHUB_WORKFLOW=inductor
2025-10-10T00:47:25.1201615Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:47:25.1202024Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1202430Z NO_TD=False
2025-10-10T00:47:25.1202601Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:47:25.1202825Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:47:25.1203047Z _=/usr/bin/env
2025-10-10T00:47:25.1203278Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-10-10T00:47:25.1429063Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-10-10T00:47:25.1433014Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-10-10T00:47:25.1433577Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-10-10T00:47:25.1439115Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-10-10T00:47:25.1439505Z + BUILD_DIR=build
2025-10-10T00:47:25.1439692Z + BUILD_RENAMED_DIR=build_renamed
2025-10-10T00:47:25.1439907Z + BUILD_BIN_DIR=build/bin
2025-10-10T00:47:25.1440096Z + SHARD_NUMBER=2
2025-10-10T00:47:25.1440255Z + NUM_TEST_SHARDS=2
2025-10-10T00:47:25.1440444Z + export TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:47:25.1440702Z + TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:47:25.1440898Z + export VALGRIND=ON
2025-10-10T00:47:25.1441066Z + VALGRIND=ON
2025-10-10T00:47:25.1441275Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-10-10T00:47:25.1441539Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:47:25.1441762Z + detect_cuda_arch
2025-10-10T00:47:25.1441954Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:47:25.1442226Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-10-10T00:47:25.1442444Z + [[ 0 == \1 ]]
2025-10-10T00:47:25.1442605Z + [[ True == \1 ]]
2025-10-10T00:47:25.1442801Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-10-10T00:47:25.1443083Z ++ realpath build/custom_test_artifacts
2025-10-10T00:47:25.1443441Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-10-10T00:47:25.1443780Z + [[ -n '' ]]
2025-10-10T00:47:25.1443972Z + echo 'Environment variables'
2025-10-10T00:47:25.1444259Z Environment variables
2025-10-10T00:47:25.1444691Z + env
2025-10-10T00:47:25.1476323Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:47:25.1480220Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:47:25.1480606Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:47:25.1481105Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:47:25.1481329Z HOSTNAME=6bacf9538a0c
2025-10-10T00:47:25.1483083Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1483493Z GITHUB_ACTION=__run_2
2025-10-10T00:47:25.1483688Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:47:25.1483906Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:47:25.1484111Z TEST_CONFIG=dynamic_cpu_inductor_timm
2025-10-10T00:47:25.1484341Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:47:25.1484580Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:47:25.1484811Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:47:25.1485099Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:47:25.1485335Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:47:25.1485558Z GITHUB_REF_TYPE=branch
2025-10-10T00:47:25.1485839Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1486078Z XLA_CUDA=
2025-10-10T00:47:25.1486248Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:47:25.1486688Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:47:25.1486959Z ***
2025-10-10T00:47:25.1487130Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:47:25.1487340Z GITHUB_ACTIONS=true
2025-10-10T00:47:25.1487559Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:47:25.1487834Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1488096Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1488447Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:47:25.1488768Z UCC_HOME=/usr
2025-10-10T00:47:25.1488947Z TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:47:25.1489146Z VERBOSE_TEST_LOGS=False
2025-10-10T00:47:25.1489341Z GITHUB_REF=refs/heads/main
2025-10-10T00:47:25.1489524Z SHARD_NUMBER=2
2025-10-10T00:47:25.1489705Z GITHUB_REF_PROTECTED=true
2025-10-10T00:47:25.1489897Z HOME=/var/lib/jenkins
2025-10-10T00:47:25.1490136Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:47:25.1490367Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:47:25.1490576Z UCX_COMMIT=
2025-10-10T00:47:25.1490739Z USE_SYSTEM_NCCL=1
2025-10-10T00:47:25.1490912Z NUM_TEST_SHARDS=2
2025-10-10T00:47:25.1491075Z UCX_HOME=/usr
2025-10-10T00:47:25.1491436Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1491932Z JOB_NAME=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:47:25.1492464Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1492997Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:47:25.1493308Z GITHUB_EVENT_NAME=push
2025-10-10T00:47:25.1493481Z DASHBOARD_TAG=
2025-10-10T00:47:25.1493647Z GITHUB_RUN_ID=18392306145
2025-10-10T00:47:25.1493822Z INSTALLED_OPENBLAS=
2025-10-10T00:47:25.1494231Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1494729Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:47:25.1494917Z PR_NUMBER=
2025-10-10T00:47:25.1495070Z DESIRED_CUDA=
2025-10-10T00:47:25.1495223Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:47:25.1495399Z VALGRIND=ON
2025-10-10T00:47:25.1495569Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:47:25.1495804Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:47:25.1496048Z TERM=vt100
2025-10-10T00:47:25.1496202Z INSTALLED_VISION=yes
2025-10-10T00:47:25.1496370Z BRANCH=main
2025-10-10T00:47:25.1496521Z SCCACHE_REGION=us-east-1
2025-10-10T00:47:25.1496715Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:47:25.1496905Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:47:25.1497323Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:47:25.1497704Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:47:25.1497924Z UCC_COMMIT=
2025-10-10T00:47:25.1498169Z REENABLED_ISSUES=
2025-10-10T00:47:25.1498397Z DOCS=yes
2025-10-10T00:47:25.1498557Z SHLVL=1
2025-10-10T00:47:25.1498715Z MAX_JOBS=30
2025-10-10T00:47:25.1498888Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:47:25.1499192Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:47:25.1499455Z GITHUB_REF_NAME=main
2025-10-10T00:47:25.1499749Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:47:25.1500041Z GITHUB_JOB=test
2025-10-10T00:47:25.1500217Z NO_TEST_TIMEOUT=False
2025-10-10T00:47:25.1500392Z TD_DISTRIBUTED=False
2025-10-10T00:47:25.1500589Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:47:25.1500804Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:47:25.1501000Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:47:25.1501196Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:47:25.1501710Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:47:25.1502215Z GITHUB_BASE_REF=
2025-10-10T00:47:25.1502395Z INSTALLED_ACL=
2025-10-10T00:47:25.1502915Z ARTIFACTS_FILE_SUFFIX=test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:47:25.1503284Z CI=true
2025-10-10T00:47:25.1503469Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:47:25.1503740Z RUST_LOG=sccache::server=error
2025-10-10T00:47:25.1503949Z JOB_ID=52406535395
2025-10-10T00:47:25.1504117Z GITHUB_HEAD_REF=
2025-10-10T00:47:25.1504298Z GITHUB_ACTION_REF=
2025-10-10T00:47:25.1504521Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:47:25.1504774Z TEST_SHOWLOCALS=False
2025-10-10T00:47:25.1504956Z GITHUB_WORKFLOW=inductor
2025-10-10T00:47:25.1505159Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:47:25.1505580Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9d6506e8-fabe-4d08-ae75-a46b8cfb4f4d
2025-10-10T00:47:25.1505993Z NO_TD=False
2025-10-10T00:47:25.1506169Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:47:25.1506398Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:47:25.1506620Z _=/usr/bin/env
2025-10-10T00:47:25.1506797Z + echo 'Testing pytorch'
2025-10-10T00:47:25.1506981Z Testing pytorch
2025-10-10T00:47:25.1507170Z + export LANG=C.UTF-8
2025-10-10T00:47:25.1507358Z + LANG=C.UTF-8
2025-10-10T00:47:25.1507526Z + PR_NUMBER=
2025-10-10T00:47:25.1507721Z + [[ dynamic_cpu_inductor_timm == \d\e\f\a\u\l\t ]]
2025-10-10T00:47:25.1508005Z + [[ dynamic_cpu_inductor_timm == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-10-10T00:47:25.1508277Z + [[ dynamic_cpu_inductor_timm == \s\l\o\w ]]
2025-10-10T00:47:25.1508567Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-10-10T00:47:25.1508855Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:47:25.1509129Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:47:25.1509392Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:47:25.1509652Z + [[ dynamic_cpu_inductor_timm == *crossref* ]]
2025-10-10T00:47:25.1509901Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:47:25.1510159Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:47:25.1510427Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:47:25.1510691Z + pip_install ninja==1.10.2
2025-10-10T00:47:25.1510948Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:47:25.1511271Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-10-10T00:47:25.5536215Z Collecting ninja==1.10.2
2025-10-10T00:47:25.5718871Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-10-10T00:47:25.5835345Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-10-10T00:47:26.3669175Z Installing collected packages: ninja
2025-10-10T00:47:26.3673219Z   Attempting uninstall: ninja
2025-10-10T00:47:26.3674421Z     Found existing installation: ninja 1.11.1.4
2025-10-10T00:47:26.3694554Z     Uninstalling ninja-1.11.1.4:
2025-10-10T00:47:26.3777040Z       Successfully uninstalled ninja-1.11.1.4
2025-10-10T00:47:26.5783081Z Successfully installed ninja-1.10.2
2025-10-10T00:47:26.6860906Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:47:26.6861980Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:47:26.6862699Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:47:26.6863002Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-10-10T00:47:26.6863286Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-10-10T00:47:26.6863617Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:47:26.6864010Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-10-10T00:47:26.6864511Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-10-10T00:47:26.6864854Z + cd test
2025-10-10T00:47:26.6865166Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-10-10T00:47:27.0010919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:47:27.0011960Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:27.9378789Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-10-10T00:47:27.9379224Z + [[ dynamic_cpu_inductor_timm == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-10-10T00:47:27.9379632Z + [[ dynamic_cpu_inductor_timm == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-10-10T00:47:27.9381228Z + DYNAMO_BENCHMARK_FLAGS=()
2025-10-10T00:47:27.9381507Z + [[ dynamic_cpu_inductor_timm == *pr_time_benchmarks* ]]
2025-10-10T00:47:27.9381815Z + [[ dynamic_cpu_inductor_timm == *dynamo_eager* ]]
2025-10-10T00:47:27.9382116Z + [[ dynamic_cpu_inductor_timm == *aot_eager* ]]
2025-10-10T00:47:27.9382412Z + [[ dynamic_cpu_inductor_timm == *aot_inductor* ]]
2025-10-10T00:47:27.9383052Z + [[ dynamic_cpu_inductor_timm == *max_autotune_inductor* ]]
2025-10-10T00:47:27.9383344Z + [[ dynamic_cpu_inductor_timm == *inductor* ]]
2025-10-10T00:47:27.9383611Z + [[ dynamic_cpu_inductor_timm != *perf* ]]
2025-10-10T00:47:27.9383893Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-10-10T00:47:27.9384201Z + [[ dynamic_cpu_inductor_timm == *dynamic* ]]
2025-10-10T00:47:27.9384532Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only)
2025-10-10T00:47:27.9384858Z + [[ dynamic_cpu_inductor_timm == *cpu* ]]
2025-10-10T00:47:27.9385103Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-10-10T00:47:27.9639658Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:47:27.9639993Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-10-10T00:47:27.9645111Z + cd test
2025-10-10T00:47:27.9650226Z + python -c 'import torch; print(torch.__config__.show())'
2025-10-10T00:47:28.2825186Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:47:28.2826683Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:28.9256162Z PyTorch built with:
2025-10-10T00:47:28.9256658Z   - GCC 11.4
2025-10-10T00:47:28.9256887Z   - C++ Version: 201703
2025-10-10T00:47:28.9257310Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:47:28.9258364Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:47:28.9258689Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:47:28.9259084Z   - LAPACK is enabled (usually provided by MKL)
2025-10-10T00:47:28.9259949Z   - NNPACK is enabled
2025-10-10T00:47:28.9260247Z   - CPU capability usage: AVX512
2025-10-10T00:47:28.9263740Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e, 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=2.10.0, 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, 
2025-10-10T00:47:28.9266848Z 
2025-10-10T00:47:29.1749261Z + cd test
2025-10-10T00:47:29.1749895Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-10-10T00:47:29.4633914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:47:29.4634849Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:30.1147646Z ATen/Parallel:
2025-10-10T00:47:30.1148001Z 	at::get_num_threads() : 16
2025-10-10T00:47:30.1148256Z 	at::get_num_interop_threads() : 16
2025-10-10T00:47:30.1148499Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:47:30.1148718Z 	omp_get_max_threads() : 16
2025-10-10T00:47:30.1149206Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:47:30.1149570Z 	mkl_get_max_threads() : 16
2025-10-10T00:47:30.1149856Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:47:30.1150159Z std::thread::hardware_concurrency() : 32
2025-10-10T00:47:30.1150365Z Environment variables:
2025-10-10T00:47:30.1150553Z 	OMP_NUM_THREADS : [not set]
2025-10-10T00:47:30.1150740Z 	MKL_NUM_THREADS : [not set]
2025-10-10T00:47:30.1150931Z ATen parallel backend: OpenMP
2025-10-10T00:47:30.1151067Z 
2025-10-10T00:47:30.3653059Z + [[ dynamic_cpu_inductor_timm == *numpy_2* ]]
2025-10-10T00:47:30.3653472Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:47:30.3653804Z + [[ dynamic_cpu_inductor_timm == *backward* ]]
2025-10-10T00:47:30.3654062Z + [[ dynamic_cpu_inductor_timm == *xla* ]]
2025-10-10T00:47:30.3654308Z + [[ dynamic_cpu_inductor_timm == *vllm* ]]
2025-10-10T00:47:30.3654563Z + [[ dynamic_cpu_inductor_timm == *executorch* ]]
2025-10-10T00:47:30.3654867Z + [[ dynamic_cpu_inductor_timm == \j\i\t\_\l\e\g\a\c\y ]]
2025-10-10T00:47:30.3655173Z + [[ dynamic_cpu_inductor_timm == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-10-10T00:47:30.3655511Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:47:30.3655782Z + [[ dynamic_cpu_inductor_timm == distributed ]]
2025-10-10T00:47:30.3656065Z + [[ dynamic_cpu_inductor_timm == *operator_benchmark* ]]
2025-10-10T00:47:30.3656367Z + [[ dynamic_cpu_inductor_timm == *operator_microbenchmark* ]]
2025-10-10T00:47:30.3657040Z + [[ dynamic_cpu_inductor_timm == *inductor_distributed* ]]
2025-10-10T00:47:30.3657377Z + [[ dynamic_cpu_inductor_timm == *inductor-halide* ]]
2025-10-10T00:47:30.3657675Z + [[ dynamic_cpu_inductor_timm == *inductor-triton-cpu* ]]
2025-10-10T00:47:30.3658030Z + [[ dynamic_cpu_inductor_timm == *inductor-micro-benchmark* ]]
2025-10-10T00:47:30.3658345Z + [[ dynamic_cpu_inductor_timm == *huggingface* ]]
2025-10-10T00:47:30.3658610Z + [[ dynamic_cpu_inductor_timm == *timm* ]]
2025-10-10T00:47:30.3658955Z + install_torchvision
2025-10-10T00:47:30.3659156Z + local orig_preload
2025-10-10T00:47:30.3659347Z + local commit
2025-10-10T00:47:30.3659540Z ++ get_pinned_commit vision
2025-10-10T00:47:30.3659758Z ++ cat .github/ci_commit_pins/vision.txt
2025-10-10T00:47:30.3678365Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:47:30.3678726Z + orig_preload=
2025-10-10T00:47:30.3678958Z + '[' -n '' ']'
2025-10-10T00:47:30.3679185Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:47:30.3679698Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-10-10T00:47:30.3680294Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:47:30.3680691Z + local wheel_dir=dist/vision
2025-10-10T00:47:30.3680926Z + local found_whl=0
2025-10-10T00:47:30.3681120Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:30.3681467Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:47:30.3681792Z + found_whl=1
2025-10-10T00:47:30.3681961Z + break
2025-10-10T00:47:30.3682113Z + '[' 1 == 0 ']'
2025-10-10T00:47:30.3682300Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:47:30.3682647Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:30.3683100Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:47:30.3683412Z + local args
2025-10-10T00:47:30.3683709Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:47:30.3684049Z + for path in "${args[@]}"
2025-10-10T00:47:30.3684382Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:47:30.3684848Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:30.3685378Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:30.6745440Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:47:30.6824537Z Installing collected packages: torchvision
2025-10-10T00:47:31.0633446Z Successfully installed torchvision-0.22.0a0+966da7e
2025-10-10T00:47:31.1062841Z + '[' -n '' ']'
2025-10-10T00:47:31.1063158Z + id=1
2025-10-10T00:47:31.1063356Z + test_dynamo_benchmark timm_models 1
2025-10-10T00:47:31.1063624Z ++ pwd
2025-10-10T00:47:31.1069740Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:31.1070093Z + local suite=timm_models
2025-10-10T00:47:31.1070282Z + shift
2025-10-10T00:47:31.1070449Z + local shard_id=1
2025-10-10T00:47:31.1070622Z + shift
2025-10-10T00:47:31.1070813Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]]
2025-10-10T00:47:31.1071069Z + [[ dynamic_cpu_inductor_timm == *perf* ]]
2025-10-10T00:47:31.1071310Z + [[ dynamic_cpu_inductor_timm == *cpu* ]]
2025-10-10T00:47:31.1071527Z + local dt=float32
2025-10-10T00:47:31.1071730Z + [[ dynamic_cpu_inductor_timm == *amp* ]]
2025-10-10T00:47:31.1071966Z + [[ dynamic_cpu_inductor_timm == *freezing* ]]
2025-10-10T00:47:31.1072287Z + test_single_dynamo_benchmark inference timm_models 1 --inference --float32
2025-10-10T00:47:31.1077537Z ++ pwd
2025-10-10T00:47:31.1077911Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:31.1078260Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:47:31.1097916Z + local name=inference
2025-10-10T00:47:31.1098521Z + shift
2025-10-10T00:47:31.1098708Z + local suite=timm_models
2025-10-10T00:47:31.1098916Z + shift
2025-10-10T00:47:31.1099081Z + local shard_id=1
2025-10-10T00:47:31.1099275Z + shift
2025-10-10T00:47:31.1099444Z + partition_flags=()
2025-10-10T00:47:31.1099667Z + local partition_flags
2025-10-10T00:47:31.1099863Z + [[ -n 2 ]]
2025-10-10T00:47:31.1100032Z + [[ -n 1 ]]
2025-10-10T00:47:31.1100373Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-10-10T00:47:31.1100879Z + [[ dynamic_cpu_inductor_timm == *perf_compare* ]]
2025-10-10T00:47:31.1101148Z + [[ dynamic_cpu_inductor_timm == *perf* ]]
2025-10-10T00:47:31.1101411Z + [[ dynamic_cpu_inductor_timm == *_avx2* ]]
2025-10-10T00:47:31.1101663Z + [[ dynamic_cpu_inductor_timm == *_avx512* ]]
2025-10-10T00:47:31.1102873Z + python benchmarks/dynamo/timm_models.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cpu --inference --float32 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv
2025-10-10T00:47:31.8732506Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:47:31.8733348Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:34.1820660Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:47:34.1822102Z   warnings.warn(
2025-10-10T00:47:34.1825090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:47:34.1827118Z   warnings.warn(
2025-10-10T00:47:35.4257088Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:47:35.4258044Z   import pynvml  # type: ignore[import]
2025-10-10T00:47:37.7398934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:47:37.7400385Z   warnings.warn(
2025-10-10T00:47:37.7401700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:47:37.7403405Z   warnings.warn(
2025-10-10T00:47:38.1885705Z 
2025-10-10T00:47:38.3087920Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:47:38.3088315Z 
2025-10-10T00:47:38.6153184Z model.safetensors:   0% 0.00/22.1M [00:00<?, ?B/s]
2025-10-10T00:47:38.6158872Z 
2025-10-10T00:47:38.6164413Z model.safetensors: 100% 22.1M/22.1M [00:00<00:00, 72.0MB/s]
2025-10-10T00:47:38.6164760Z model.safetensors: 100% 22.1M/22.1M [00:00<00:00, 71.7MB/s]
2025-10-10T00:47:38.7284046Z 
2025-10-10T00:47:38.7284497Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:47:38.7303220Z cpu  eval  mobilenetv3_large_100              
2025-10-10T00:47:39.3425638Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:39.4211920Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:47:39.4964184Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:00.3118381Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3118746Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3119029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3119507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3119926Z     return mod(*inputs)
2025-10-10T00:48:00.3120324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3120739Z     x = self.forward_features(x)
2025-10-10T00:48:00.3121245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 250, in forward_features
2025-10-10T00:48:00.3121687Z     x = self.conv_stem(x)
2025-10-10T00:48:00.3121822Z 
2025-10-10T00:48:00.3121960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3122389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3122770Z     return mod(*inputs)
2025-10-10T00:48:00.3123141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3123665Z     x = self.forward_features(x)
2025-10-10T00:48:00.3124088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3124495Z     x = self.blocks(x)
2025-10-10T00:48:00.3124880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 190, in forward
2025-10-10T00:48:00.3125272Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3125389Z 
2025-10-10T00:48:00.3125507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3125906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3126247Z     return mod(*inputs)
2025-10-10T00:48:00.3126596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3126981Z     x = self.forward_features(x)
2025-10-10T00:48:00.3127414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3127797Z     x = self.blocks(x)
2025-10-10T00:48:00.3128154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward
2025-10-10T00:48:00.3128534Z     x = self.bn1(x)
2025-10-10T00:48:00.3128862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3129214Z     x = self.act(x)
2025-10-10T00:48:00.3129670Z 
2025-10-10T00:48:00.3129786Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3130191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3130552Z     return mod(*inputs)
2025-10-10T00:48:00.3130902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3131255Z     x = self.forward_features(x)
2025-10-10T00:48:00.3131826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3132225Z     x = self.blocks(x)
2025-10-10T00:48:00.3132593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward
2025-10-10T00:48:00.3132976Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3133086Z 
2025-10-10T00:48:00.3133210Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3133581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3133910Z     return mod(*inputs)
2025-10-10T00:48:00.3134238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3134608Z     x = self.forward_features(x)
2025-10-10T00:48:00.3135004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3135392Z     x = self.blocks(x)
2025-10-10T00:48:00.3135798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 197, in forward
2025-10-10T00:48:00.3136215Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3136364Z 
2025-10-10T00:48:00.3136490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3136901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3137266Z     return mod(*inputs)
2025-10-10T00:48:00.3137625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3138008Z     x = self.forward_features(x)
2025-10-10T00:48:00.3138388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3138807Z     x = self.blocks(x)
2025-10-10T00:48:00.3139183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3139585Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3139696Z 
2025-10-10T00:48:00.3139975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3140372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3140740Z     return mod(*inputs)
2025-10-10T00:48:00.3141098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3141479Z     x = self.forward_features(x)
2025-10-10T00:48:00.3141878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3142289Z     x = self.blocks(x)
2025-10-10T00:48:00.3143085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:48:00.3143494Z     x = self.bn1(x)
2025-10-10T00:48:00.3143850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3144224Z     x = self.act(x)
2025-10-10T00:48:00.3144334Z 
2025-10-10T00:48:00.3144464Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3144868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3145242Z     return mod(*inputs)
2025-10-10T00:48:00.3145655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3146035Z     x = self.forward_features(x)
2025-10-10T00:48:00.3146423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3146831Z     x = self.blocks(x)
2025-10-10T00:48:00.3147252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3147648Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3147760Z 
2025-10-10T00:48:00.3147900Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3148303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3148662Z     return mod(*inputs)
2025-10-10T00:48:00.3149012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3149396Z     x = self.forward_features(x)
2025-10-10T00:48:00.3149785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3150189Z     x = self.blocks(x)
2025-10-10T00:48:00.3150559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3151051Z     x = self.bn2(x)
2025-10-10T00:48:00.3151464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3152025Z     x = self.act(x)
2025-10-10T00:48:00.3152204Z 
2025-10-10T00:48:00.3152345Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3152824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3153270Z     return mod(*inputs)
2025-10-10T00:48:00.3153719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3154177Z     x = self.forward_features(x)
2025-10-10T00:48:00.3154686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3155157Z     x = self.blocks(x)
2025-10-10T00:48:00.3155764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3156247Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3156438Z 
2025-10-10T00:48:00.3156569Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3157088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3157522Z     return mod(*inputs)
2025-10-10T00:48:00.3157902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3158408Z     x = self.forward_features(x)
2025-10-10T00:48:00.3158891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3159356Z     x = self.blocks(x)
2025-10-10T00:48:00.3159768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:48:00.3160216Z     x = self.bn3(x)
2025-10-10T00:48:00.3160621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3161162Z     x = F.batch_norm(
2025-10-10T00:48:00.3161298Z 
2025-10-10T00:48:00.3161465Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3161905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3162338Z     return mod(*inputs)
2025-10-10T00:48:00.3162751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3163291Z     x = self.forward_features(x)
2025-10-10T00:48:00.3163754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3181966Z     x = self.blocks(x)
2025-10-10T00:48:00.3182563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3183143Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3183273Z 
2025-10-10T00:48:00.3183544Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3183987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3184368Z     return mod(*inputs)
2025-10-10T00:48:00.3184753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3185161Z     x = self.forward_features(x)
2025-10-10T00:48:00.3185583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3186006Z     x = self.blocks(x)
2025-10-10T00:48:00.3186397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:48:00.3186833Z     x = self.bn1(x)
2025-10-10T00:48:00.3187178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3187563Z     x = self.act(x)
2025-10-10T00:48:00.3187677Z 
2025-10-10T00:48:00.3187801Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3188225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3188592Z     return mod(*inputs)
2025-10-10T00:48:00.3188950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3189347Z     x = self.forward_features(x)
2025-10-10T00:48:00.3189762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3190184Z     x = self.blocks(x)
2025-10-10T00:48:00.3190554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3190968Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3191089Z 
2025-10-10T00:48:00.3191207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3191615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3191977Z     return mod(*inputs)
2025-10-10T00:48:00.3192327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3192716Z     x = self.forward_features(x)
2025-10-10T00:48:00.3193116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3193524Z     x = self.blocks(x)
2025-10-10T00:48:00.3193892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3194279Z     x = self.bn2(x)
2025-10-10T00:48:00.3194629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3195005Z     x = self.act(x)
2025-10-10T00:48:00.3195106Z 
2025-10-10T00:48:00.3195230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3195605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3195952Z     return mod(*inputs)
2025-10-10T00:48:00.3196296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3196665Z     x = self.forward_features(x)
2025-10-10T00:48:00.3197039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3197493Z     x = self.blocks(x)
2025-10-10T00:48:00.3197856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3198252Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3198370Z 
2025-10-10T00:48:00.3198485Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3198952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3199300Z     return mod(*inputs)
2025-10-10T00:48:00.3199641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3200004Z     x = self.forward_features(x)
2025-10-10T00:48:00.3200382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3200766Z     x = self.blocks(x)
2025-10-10T00:48:00.3201127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3201521Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3201663Z 
2025-10-10T00:48:00.3201778Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3202164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3202510Z     return mod(*inputs)
2025-10-10T00:48:00.3202858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3203227Z     x = self.forward_features(x)
2025-10-10T00:48:00.3203599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3203979Z     x = self.blocks(x)
2025-10-10T00:48:00.3204337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3204719Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3204828Z 
2025-10-10T00:48:00.3204940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3205324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3205672Z     return mod(*inputs)
2025-10-10T00:48:00.3206022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3206410Z     x = self.forward_features(x)
2025-10-10T00:48:00.3206780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3207162Z     x = self.blocks(x)
2025-10-10T00:48:00.3207517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:48:00.3207894Z     x = self.bn1(x)
2025-10-10T00:48:00.3208210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3208562Z     x = self.act(x)
2025-10-10T00:48:00.3208670Z 
2025-10-10T00:48:00.3208784Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3209183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3209539Z     return mod(*inputs)
2025-10-10T00:48:00.3209884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3210265Z     x = self.forward_features(x)
2025-10-10T00:48:00.3210656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3211050Z     x = self.blocks(x)
2025-10-10T00:48:00.3211413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3211796Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3211950Z 
2025-10-10T00:48:00.3212065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3212460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3213055Z     return mod(*inputs)
2025-10-10T00:48:00.3213425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3213823Z     x = self.forward_features(x)
2025-10-10T00:48:00.3214339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3214745Z     x = self.blocks(x)
2025-10-10T00:48:00.3215107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3215497Z     x = self.bn2(x)
2025-10-10T00:48:00.3215831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3216195Z     x = self.act(x)
2025-10-10T00:48:00.3216300Z 
2025-10-10T00:48:00.3216404Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3216674Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3217071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3217429Z     return mod(*inputs)
2025-10-10T00:48:00.3217786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3218162Z     x = self.forward_features(x)
2025-10-10T00:48:00.3218558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3218953Z     x = self.blocks(x)
2025-10-10T00:48:00.3219319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3219700Z     x = self.se(x)
2025-10-10T00:48:00.3220067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3220475Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3220622Z 
2025-10-10T00:48:00.3220742Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3221135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3221485Z     return mod(*inputs)
2025-10-10T00:48:00.3221841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3222227Z     x = self.forward_features(x)
2025-10-10T00:48:00.3222685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3223087Z     x = self.blocks(x)
2025-10-10T00:48:00.3223447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3223839Z     x = self.se(x)
2025-10-10T00:48:00.3224201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3224605Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3224747Z 
2025-10-10T00:48:00.3224865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3225269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3225632Z     return mod(*inputs)
2025-10-10T00:48:00.3225988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3226381Z     x = self.forward_features(x)
2025-10-10T00:48:00.3226757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3227142Z     x = self.blocks(x)
2025-10-10T00:48:00.3227504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3227948Z     x = self.se(x)
2025-10-10T00:48:00.3228297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3228683Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3228809Z 
2025-10-10T00:48:00.3228921Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3229357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3229709Z     return mod(*inputs)
2025-10-10T00:48:00.3230052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3230432Z     x = self.forward_features(x)
2025-10-10T00:48:00.3230822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3231217Z     x = self.blocks(x)
2025-10-10T00:48:00.3231579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3231962Z     x = self.se(x)
2025-10-10T00:48:00.3232317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3232714Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3232850Z 
2025-10-10T00:48:00.3232974Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3233360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3233717Z     return mod(*inputs)
2025-10-10T00:48:00.3234068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3234446Z     x = self.forward_features(x)
2025-10-10T00:48:00.3234827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3235222Z     x = self.blocks(x)
2025-10-10T00:48:00.3235588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3235977Z     x = self.se(x)
2025-10-10T00:48:00.3236332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3236722Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3236861Z 
2025-10-10T00:48:00.3236977Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3237372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3237725Z     return mod(*inputs)
2025-10-10T00:48:00.3238068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3238445Z     x = self.forward_features(x)
2025-10-10T00:48:00.3238836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3239232Z     x = self.blocks(x)
2025-10-10T00:48:00.3239599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3239986Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3240116Z 
2025-10-10T00:48:00.3240231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3240629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3240983Z     return mod(*inputs)
2025-10-10T00:48:00.3241325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3241705Z     x = self.forward_features(x)
2025-10-10T00:48:00.3242099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3242528Z     x = self.blocks(x)
2025-10-10T00:48:00.3242886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:48:00.3243256Z     x = self.bn3(x)
2025-10-10T00:48:00.3243585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3243940Z     x = F.batch_norm(
2025-10-10T00:48:00.3244048Z 
2025-10-10T00:48:00.3244202Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3244589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3244938Z     return mod(*inputs)
2025-10-10T00:48:00.3245282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3245654Z     x = self.forward_features(x)
2025-10-10T00:48:00.3246038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3246420Z     x = self.blocks(x)
2025-10-10T00:48:00.3246779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3247164Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3247271Z 
2025-10-10T00:48:00.3247393Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3247778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3248127Z     return mod(*inputs)
2025-10-10T00:48:00.3248473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3248847Z     x = self.forward_features(x)
2025-10-10T00:48:00.3249232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3249612Z     x = self.blocks(x)
2025-10-10T00:48:00.3249975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:48:00.3250355Z     x = self.bn1(x)
2025-10-10T00:48:00.3250680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3251025Z     x = self.act(x)
2025-10-10T00:48:00.3251151Z 
2025-10-10T00:48:00.3251258Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3251628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3251959Z     return mod(*inputs)
2025-10-10T00:48:00.3252303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3252672Z     x = self.forward_features(x)
2025-10-10T00:48:00.3253058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3253448Z     x = self.blocks(x)
2025-10-10T00:48:00.3253797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3254177Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3254290Z 
2025-10-10T00:48:00.3254400Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3254787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3255135Z     return mod(*inputs)
2025-10-10T00:48:00.3255470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3255841Z     x = self.forward_features(x)
2025-10-10T00:48:00.3256222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3256611Z     x = self.blocks(x)
2025-10-10T00:48:00.3256968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3257399Z     x = self.bn2(x)
2025-10-10T00:48:00.3257734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3258111Z     x = self.act(x)
2025-10-10T00:48:00.3258215Z 
2025-10-10T00:48:00.3258315Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3258581Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3259017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3259380Z     return mod(*inputs)
2025-10-10T00:48:00.3259732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3260105Z     x = self.forward_features(x)
2025-10-10T00:48:00.3260498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3260896Z     x = self.blocks(x)
2025-10-10T00:48:00.3261266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3261647Z     x = self.se(x)
2025-10-10T00:48:00.3262012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3262498Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3262656Z 
2025-10-10T00:48:00.3262790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3263196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3263547Z     return mod(*inputs)
2025-10-10T00:48:00.3263910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3264296Z     x = self.forward_features(x)
2025-10-10T00:48:00.3264694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3265091Z     x = self.blocks(x)
2025-10-10T00:48:00.3265463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3265858Z     x = self.se(x)
2025-10-10T00:48:00.3266224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3266640Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3266782Z 
2025-10-10T00:48:00.3266899Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3267301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3267660Z     return mod(*inputs)
2025-10-10T00:48:00.3268062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3268444Z     x = self.forward_features(x)
2025-10-10T00:48:00.3268834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3269292Z     x = self.blocks(x)
2025-10-10T00:48:00.3269661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3270058Z     x = self.se(x)
2025-10-10T00:48:00.3270417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3270824Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3270955Z 
2025-10-10T00:48:00.3271071Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3271469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3271825Z     return mod(*inputs)
2025-10-10T00:48:00.3272172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3272601Z     x = self.forward_features(x)
2025-10-10T00:48:00.3272992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3273348Z     x = self.blocks(x)
2025-10-10T00:48:00.3273668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3274015Z     x = self.se(x)
2025-10-10T00:48:00.3274368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3274730Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3274855Z 
2025-10-10T00:48:00.3274964Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3275317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3275637Z     return mod(*inputs)
2025-10-10T00:48:00.3275955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3276301Z     x = self.forward_features(x)
2025-10-10T00:48:00.3276654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3277022Z     x = self.blocks(x)
2025-10-10T00:48:00.3277363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3277734Z     x = self.se(x)
2025-10-10T00:48:00.3278085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3278467Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3278595Z 
2025-10-10T00:48:00.3278701Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3279068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3279395Z     return mod(*inputs)
2025-10-10T00:48:00.3279720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3280074Z     x = self.forward_features(x)
2025-10-10T00:48:00.3280436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3280803Z     x = self.blocks(x)
2025-10-10T00:48:00.3281146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3281504Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3281621Z 
2025-10-10T00:48:00.3281726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3282096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3282414Z     return mod(*inputs)
2025-10-10T00:48:00.3282723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3283080Z     x = self.forward_features(x)
2025-10-10T00:48:00.3283452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3283811Z     x = self.blocks(x)
2025-10-10T00:48:00.3284140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3284499Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3284638Z 
2025-10-10T00:48:00.3284740Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3285094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3285414Z     return mod(*inputs)
2025-10-10T00:48:00.3285720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3286064Z     x = self.forward_features(x)
2025-10-10T00:48:00.3286472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3286834Z     x = self.blocks(x)
2025-10-10T00:48:00.3287184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3287557Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3287672Z 
2025-10-10T00:48:00.3287787Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3288219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3288576Z     return mod(*inputs)
2025-10-10T00:48:00.3288919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3289302Z     x = self.forward_features(x)
2025-10-10T00:48:00.3289698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3290098Z     x = self.blocks(x)
2025-10-10T00:48:00.3290453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:48:00.3290825Z     x = self.bn1(x)
2025-10-10T00:48:00.3291154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3291504Z     x = self.act(x)
2025-10-10T00:48:00.3291603Z 
2025-10-10T00:48:00.3291725Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3292103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3292447Z     return mod(*inputs)
2025-10-10T00:48:00.3292787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3293160Z     x = self.forward_features(x)
2025-10-10T00:48:00.3293541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3293922Z     x = self.blocks(x)
2025-10-10T00:48:00.3294281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3294661Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3294783Z 
2025-10-10T00:48:00.3294902Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3295282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3295628Z     return mod(*inputs)
2025-10-10T00:48:00.3295968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3296336Z     x = self.forward_features(x)
2025-10-10T00:48:00.3296716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3297091Z     x = self.blocks(x)
2025-10-10T00:48:00.3297457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3297844Z     x = self.bn2(x)
2025-10-10T00:48:00.3298178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:48:00.3298528Z     x = self.act(x)
2025-10-10T00:48:00.3298639Z 
2025-10-10T00:48:00.3298732Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3299006Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3299412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3299762Z     return mod(*inputs)
2025-10-10T00:48:00.3300099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3300468Z     x = self.forward_features(x)
2025-10-10T00:48:00.3300851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3301273Z     x = self.blocks(x)
2025-10-10T00:48:00.3301639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3302008Z     x = self.se(x)
2025-10-10T00:48:00.3302363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3302864Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3303058Z 
2025-10-10T00:48:00.3303186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3303585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3303938Z     return mod(*inputs)
2025-10-10T00:48:00.3304284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3304660Z     x = self.forward_features(x)
2025-10-10T00:48:00.3305048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3305427Z     x = self.blocks(x)
2025-10-10T00:48:00.3305791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3306171Z     x = self.se(x)
2025-10-10T00:48:00.3306524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3306926Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3307052Z 
2025-10-10T00:48:00.3307156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3307524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3307869Z     return mod(*inputs)
2025-10-10T00:48:00.3308212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3308577Z     x = self.forward_features(x)
2025-10-10T00:48:00.3308958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3309342Z     x = self.blocks(x)
2025-10-10T00:48:00.3309697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3310067Z     x = self.se(x)
2025-10-10T00:48:00.3310410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3310803Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3310919Z 
2025-10-10T00:48:00.3311024Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3311390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3311709Z     return mod(*inputs)
2025-10-10T00:48:00.3312032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3312383Z     x = self.forward_features(x)
2025-10-10T00:48:00.3312911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3313297Z     x = self.blocks(x)
2025-10-10T00:48:00.3313630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3313992Z     x = self.se(x)
2025-10-10T00:48:00.3314327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3314698Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3314829Z 
2025-10-10T00:48:00.3314937Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3315306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3315638Z     return mod(*inputs)
2025-10-10T00:48:00.3316044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3316392Z     x = self.forward_features(x)
2025-10-10T00:48:00.3316742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3317104Z     x = self.blocks(x)
2025-10-10T00:48:00.3317508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3317891Z     x = self.se(x)
2025-10-10T00:48:00.3318234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3318625Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3318759Z 
2025-10-10T00:48:00.3318869Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3319257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3319599Z     return mod(*inputs)
2025-10-10T00:48:00.3319914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3320265Z     x = self.forward_features(x)
2025-10-10T00:48:00.3320625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3320990Z     x = self.blocks(x)
2025-10-10T00:48:00.3321322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3321687Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3321803Z 
2025-10-10T00:48:00.3321910Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3322274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3322601Z     return mod(*inputs)
2025-10-10T00:48:00.3322913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3323266Z     x = self.forward_features(x)
2025-10-10T00:48:00.3323625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3323992Z     x = self.blocks(x)
2025-10-10T00:48:00.3324327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3324688Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3324825Z 
2025-10-10T00:48:00.3324930Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3325289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3325628Z     return mod(*inputs)
2025-10-10T00:48:00.3325964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3326332Z     x = self.forward_features(x)
2025-10-10T00:48:00.3326689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3327049Z     x = self.blocks(x)
2025-10-10T00:48:00.3327377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3327754Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3327871Z 
2025-10-10T00:48:00.3327983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3328368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3328715Z     return mod(*inputs)
2025-10-10T00:48:00.3329042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3329410Z     x = self.forward_features(x)
2025-10-10T00:48:00.3329792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3330228Z     x = self.blocks(x)
2025-10-10T00:48:00.3330596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3330947Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3331058Z 
2025-10-10T00:48:00.3331163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3331557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3331887Z     return mod(*inputs)
2025-10-10T00:48:00.3332220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3332585Z     x = self.forward_features(x)
2025-10-10T00:48:00.3332971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3333346Z     x = self.blocks(x)
2025-10-10T00:48:00.3333687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3334055Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3334169Z 
2025-10-10T00:48:00.3334275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3334669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3335003Z     return mod(*inputs)
2025-10-10T00:48:00.3335331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3335684Z     x = self.forward_features(x)
2025-10-10T00:48:00.3336067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3336451Z     x = self.blocks(x)
2025-10-10T00:48:00.3336802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:48:00.3337176Z     x = self.bn3(x)
2025-10-10T00:48:00.3337509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3337876Z     x = F.batch_norm(
2025-10-10T00:48:00.3337985Z 
2025-10-10T00:48:00.3338107Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3338498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3338858Z     return mod(*inputs)
2025-10-10T00:48:00.3339207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3339592Z     x = self.forward_features(x)
2025-10-10T00:48:00.3339979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3340365Z     x = self.blocks(x)
2025-10-10T00:48:00.3340730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3341125Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3341233Z 
2025-10-10T00:48:00.3341353Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3341740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3342092Z     return mod(*inputs)
2025-10-10T00:48:00.3342529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3342939Z     x = self.forward_features(x)
2025-10-10T00:48:00.3343337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3343725Z     x = self.blocks(x)
2025-10-10T00:48:00.3344094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3344484Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3344659Z 
2025-10-10T00:48:00.3344784Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3345172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3345526Z     return mod(*inputs)
2025-10-10T00:48:00.3345874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3346255Z     x = self.forward_features(x)
2025-10-10T00:48:00.3346681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3347070Z     x = self.blocks(x)
2025-10-10T00:48:00.3347438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3347833Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3347953Z 
2025-10-10T00:48:00.3348084Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3348443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3348759Z     return mod(*inputs)
2025-10-10T00:48:00.3349072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3349413Z     x = self.forward_features(x)
2025-10-10T00:48:00.3349770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3350125Z     x = self.blocks(x)
2025-10-10T00:48:00.3350454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3350862Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3351003Z 
2025-10-10T00:48:00.3351135Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3351506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3351848Z     return mod(*inputs)
2025-10-10T00:48:00.3352184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3352547Z     x = self.forward_features(x)
2025-10-10T00:48:00.3352920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3353277Z     x = self.blocks(x)
2025-10-10T00:48:00.3353616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3353979Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3354079Z 
2025-10-10T00:48:00.3354188Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3354546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3354861Z     return mod(*inputs)
2025-10-10T00:48:00.3355173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3355516Z     x = self.forward_features(x)
2025-10-10T00:48:00.3355866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3356215Z     x = self.blocks(x)
2025-10-10T00:48:00.3356540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3356893Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3356991Z 
2025-10-10T00:48:00.3357099Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3357442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3357758Z     return mod(*inputs)
2025-10-10T00:48:00.3358071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3358412Z     x = self.forward_features(x)
2025-10-10T00:48:00.3358808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3359162Z     x = self.blocks(x)
2025-10-10T00:48:00.3359497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3359879Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3359990Z 
2025-10-10T00:48:00.3360134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3360492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3360821Z     return mod(*inputs)
2025-10-10T00:48:00.3361144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3361492Z     x = self.forward_features(x)
2025-10-10T00:48:00.3361861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3362236Z     x = self.blocks(x)
2025-10-10T00:48:00.3362593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3362983Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3363126Z 
2025-10-10T00:48:00.3363248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3363646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3363980Z     return mod(*inputs)
2025-10-10T00:48:00.3364303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3364650Z     x = self.forward_features(x)
2025-10-10T00:48:00.3365019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3365364Z     x = self.blocks(x)
2025-10-10T00:48:00.3365700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3366065Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3366167Z 
2025-10-10T00:48:00.3366281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3366641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3366960Z     return mod(*inputs)
2025-10-10T00:48:00.3367284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3367643Z     x = self.forward_features(x)
2025-10-10T00:48:00.3367997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3368342Z     x = self.blocks(x)
2025-10-10T00:48:00.3368670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3369023Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3369122Z 
2025-10-10T00:48:00.3369233Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3369586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3369899Z     return mod(*inputs)
2025-10-10T00:48:00.3370220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3370581Z     x = self.forward_features(x)
2025-10-10T00:48:00.3370931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3371275Z     x = self.blocks(x)
2025-10-10T00:48:00.3371604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3371989Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3372107Z 
2025-10-10T00:48:00.3372228Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3372667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3373013Z     return mod(*inputs)
2025-10-10T00:48:00.3373361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3373738Z     x = self.forward_features(x)
2025-10-10T00:48:00.3374137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3374487Z     x = self.blocks(x)
2025-10-10T00:48:00.3374827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3375181Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3375306Z 
2025-10-10T00:48:00.3375417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3375776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3376095Z     return mod(*inputs)
2025-10-10T00:48:00.3376416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3376762Z     x = self.forward_features(x)
2025-10-10T00:48:00.3377122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3377477Z     x = self.blocks(x)
2025-10-10T00:48:00.3377817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3378176Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3378277Z 
2025-10-10T00:48:00.3378390Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3378754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3379073Z     return mod(*inputs)
2025-10-10T00:48:00.3379403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3379778Z     x = self.forward_features(x)
2025-10-10T00:48:00.3380158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3380534Z     x = self.blocks(x)
2025-10-10T00:48:00.3380895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3381275Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3381384Z 
2025-10-10T00:48:00.3381508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3381903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3382251Z     return mod(*inputs)
2025-10-10T00:48:00.3382696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3383093Z     x = self.forward_features(x)
2025-10-10T00:48:00.3383488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3383876Z     x = self.blocks(x)
2025-10-10T00:48:00.3384231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3384588Z     x = self.bn2(x)
2025-10-10T00:48:00.3384899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3385234Z     x = F.batch_norm(
2025-10-10T00:48:00.3385335Z 
2025-10-10T00:48:00.3385424Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3385678Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3386064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3386409Z     return mod(*inputs)
2025-10-10T00:48:00.3386741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3387158Z     x = self.forward_features(x)
2025-10-10T00:48:00.3387536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3387908Z     x = self.blocks(x)
2025-10-10T00:48:00.3388244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3388645Z     x = self.se(x)
2025-10-10T00:48:00.3388977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3389350Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3389489Z 
2025-10-10T00:48:00.3389610Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3389984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3390332Z     return mod(*inputs)
2025-10-10T00:48:00.3390671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3391036Z     x = self.forward_features(x)
2025-10-10T00:48:00.3391431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3391815Z     x = self.blocks(x)
2025-10-10T00:48:00.3392192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3392574Z     x = self.se(x)
2025-10-10T00:48:00.3392922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3393353Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3393487Z 
2025-10-10T00:48:00.3393595Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3393969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3394301Z     return mod(*inputs)
2025-10-10T00:48:00.3394623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3394967Z     x = self.forward_features(x)
2025-10-10T00:48:00.3395327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3395692Z     x = self.blocks(x)
2025-10-10T00:48:00.3396029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3396375Z     x = self.se(x)
2025-10-10T00:48:00.3396706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3397070Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3397183Z 
2025-10-10T00:48:00.3397297Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3397665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3397981Z     return mod(*inputs)
2025-10-10T00:48:00.3398303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3398658Z     x = self.forward_features(x)
2025-10-10T00:48:00.3399010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3399356Z     x = self.blocks(x)
2025-10-10T00:48:00.3399695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3400052Z     x = self.se(x)
2025-10-10T00:48:00.3400382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3400786Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3400973Z 
2025-10-10T00:48:00.3401098Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3401490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3401831Z     return mod(*inputs)
2025-10-10T00:48:00.3402173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3402542Z     x = self.forward_features(x)
2025-10-10T00:48:00.3402937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3403306Z     x = self.blocks(x)
2025-10-10T00:48:00.3403644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3403998Z     x = self.se(x)
2025-10-10T00:48:00.3404319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3404692Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3404819Z 
2025-10-10T00:48:00.3404924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3405291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3405616Z     return mod(*inputs)
2025-10-10T00:48:00.3405930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3406283Z     x = self.forward_features(x)
2025-10-10T00:48:00.3406643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3407006Z     x = self.blocks(x)
2025-10-10T00:48:00.3407337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3407702Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3407819Z 
2025-10-10T00:48:00.3407924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3408312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3408658Z     return mod(*inputs)
2025-10-10T00:48:00.3408993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3409363Z     x = self.forward_features(x)
2025-10-10T00:48:00.3409752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3410135Z     x = self.blocks(x)
2025-10-10T00:48:00.3410464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:48:00.3410842Z     x = self.bn3(x)
2025-10-10T00:48:00.3411172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3411524Z     x = F.batch_norm(
2025-10-10T00:48:00.3411632Z 
2025-10-10T00:48:00.3411755Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3412143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3412507Z     return mod(*inputs)
2025-10-10T00:48:00.3412991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3413377Z     x = self.forward_features(x)
2025-10-10T00:48:00.3413772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3414134Z     x = self.blocks(x)
2025-10-10T00:48:00.3414469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3414828Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3414928Z 
2025-10-10T00:48:00.3415038Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3415465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3415804Z     return mod(*inputs)
2025-10-10T00:48:00.3416143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3416509Z     x = self.forward_features(x)
2025-10-10T00:48:00.3416895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3417324Z     x = self.blocks(x)
2025-10-10T00:48:00.3417686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3418069Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3418175Z 
2025-10-10T00:48:00.3418292Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3418670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3419022Z     return mod(*inputs)
2025-10-10T00:48:00.3419363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3419732Z     x = self.forward_features(x)
2025-10-10T00:48:00.3420109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3420504Z     x = self.blocks(x)
2025-10-10T00:48:00.3420872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3421260Z     x = self.bn2(x)
2025-10-10T00:48:00.3421596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3421966Z     x = F.batch_norm(
2025-10-10T00:48:00.3422089Z 
2025-10-10T00:48:00.3422180Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3422500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3422911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3423247Z     return mod(*inputs)
2025-10-10T00:48:00.3423601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3423995Z     x = self.forward_features(x)
2025-10-10T00:48:00.3424376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3424764Z     x = self.blocks(x)
2025-10-10T00:48:00.3425118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3425496Z     x = self.se(x)
2025-10-10T00:48:00.3425851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3426249Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3426394Z 
2025-10-10T00:48:00.3426509Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3426896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3427245Z     return mod(*inputs)
2025-10-10T00:48:00.3427588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3427966Z     x = self.forward_features(x)
2025-10-10T00:48:00.3428342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3428729Z     x = self.blocks(x)
2025-10-10T00:48:00.3429088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3429463Z     x = self.se(x)
2025-10-10T00:48:00.3429817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3430208Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3430397Z 
2025-10-10T00:48:00.3430509Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3430896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3431239Z     return mod(*inputs)
2025-10-10T00:48:00.3431573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3431988Z     x = self.forward_features(x)
2025-10-10T00:48:00.3432374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3432825Z     x = self.blocks(x)
2025-10-10T00:48:00.3433173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3433551Z     x = self.se(x)
2025-10-10T00:48:00.3433905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3434275Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3434388Z 
2025-10-10T00:48:00.3434500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3434860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3435180Z     return mod(*inputs)
2025-10-10T00:48:00.3435507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3435859Z     x = self.forward_features(x)
2025-10-10T00:48:00.3436212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3436584Z     x = self.blocks(x)
2025-10-10T00:48:00.3436911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3437265Z     x = self.se(x)
2025-10-10T00:48:00.3437591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3437951Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3438084Z 
2025-10-10T00:48:00.3438304Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3438666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3438993Z     return mod(*inputs)
2025-10-10T00:48:00.3439313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3439666Z     x = self.forward_features(x)
2025-10-10T00:48:00.3440029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3440394Z     x = self.blocks(x)
2025-10-10T00:48:00.3440744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3441115Z     x = self.se(x)
2025-10-10T00:48:00.3441467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3441873Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3442000Z 
2025-10-10T00:48:00.3442131Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3442519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3442861Z     return mod(*inputs)
2025-10-10T00:48:00.3443208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3443579Z     x = self.forward_features(x)
2025-10-10T00:48:00.3443942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3444301Z     x = self.blocks(x)
2025-10-10T00:48:00.3444641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3445041Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3445149Z 
2025-10-10T00:48:00.3445261Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3445619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3445943Z     return mod(*inputs)
2025-10-10T00:48:00.3446299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3446640Z     x = self.forward_features(x)
2025-10-10T00:48:00.3446987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3447339Z     x = self.blocks(x)
2025-10-10T00:48:00.3447673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3448041Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3448175Z 
2025-10-10T00:48:00.3448287Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3448649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3448970Z     return mod(*inputs)
2025-10-10T00:48:00.3449302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3449651Z     x = self.forward_features(x)
2025-10-10T00:48:00.3450012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3450366Z     x = self.blocks(x)
2025-10-10T00:48:00.3450701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3451074Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3451181Z 
2025-10-10T00:48:00.3451301Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3451683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3452019Z     return mod(*inputs)
2025-10-10T00:48:00.3452356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3452747Z     x = self.forward_features(x)
2025-10-10T00:48:00.3453104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3453456Z     x = self.blocks(x)
2025-10-10T00:48:00.3453789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3454143Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3454243Z 
2025-10-10T00:48:00.3454357Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3454720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3455038Z     return mod(*inputs)
2025-10-10T00:48:00.3455362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3455727Z     x = self.forward_features(x)
2025-10-10T00:48:00.3456107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3456478Z     x = self.blocks(x)
2025-10-10T00:48:00.3456837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3457217Z     x = self.bn2(x)
2025-10-10T00:48:00.3457549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3457907Z     x = F.batch_norm(
2025-10-10T00:48:00.3458015Z 
2025-10-10T00:48:00.3458111Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3458382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3458818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3459174Z     return mod(*inputs)
2025-10-10T00:48:00.3459515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3459896Z     x = self.forward_features(x)
2025-10-10T00:48:00.3460330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3460734Z     x = self.blocks(x)
2025-10-10T00:48:00.3461110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3461501Z     x = self.se(x)
2025-10-10T00:48:00.3461876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3462273Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3462522Z 
2025-10-10T00:48:00.3462655Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3463046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3463406Z     return mod(*inputs)
2025-10-10T00:48:00.3463760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3464114Z     x = self.forward_features(x)
2025-10-10T00:48:00.3464480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3464838Z     x = self.blocks(x)
2025-10-10T00:48:00.3465176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3465533Z     x = self.se(x)
2025-10-10T00:48:00.3465863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3466226Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3466361Z 
2025-10-10T00:48:00.3466466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3466831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3467170Z     return mod(*inputs)
2025-10-10T00:48:00.3467511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3467871Z     x = self.forward_features(x)
2025-10-10T00:48:00.3468250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3468626Z     x = self.blocks(x)
2025-10-10T00:48:00.3468979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3469346Z     x = self.se(x)
2025-10-10T00:48:00.3469694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3470077Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3470194Z 
2025-10-10T00:48:00.3470314Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3470697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3471029Z     return mod(*inputs)
2025-10-10T00:48:00.3471375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3471743Z     x = self.forward_features(x)
2025-10-10T00:48:00.3472120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3472490Z     x = self.blocks(x)
2025-10-10T00:48:00.3472846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3473219Z     x = self.se(x)
2025-10-10T00:48:00.3473629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3474022Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3474158Z 
2025-10-10T00:48:00.3474272Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3474664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3475011Z     return mod(*inputs)
2025-10-10T00:48:00.3475390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3475752Z     x = self.forward_features(x)
2025-10-10T00:48:00.3476133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3476514Z     x = self.blocks(x)
2025-10-10T00:48:00.3476870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3477251Z     x = self.se(x)
2025-10-10T00:48:00.3477591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3477980Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3478115Z 
2025-10-10T00:48:00.3478225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3478610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3478948Z     return mod(*inputs)
2025-10-10T00:48:00.3479289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3479655Z     x = self.forward_features(x)
2025-10-10T00:48:00.3480032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3480413Z     x = self.blocks(x)
2025-10-10T00:48:00.3480758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3481145Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3481267Z 
2025-10-10T00:48:00.3481377Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3481758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3482100Z     return mod(*inputs)
2025-10-10T00:48:00.3482434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3482802Z     x = self.forward_features(x)
2025-10-10T00:48:00.3483180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3483559Z     x = self.blocks(x)
2025-10-10T00:48:00.3483903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:48:00.3484279Z     x = self.bn3(x)
2025-10-10T00:48:00.3484609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3484939Z     x = F.batch_norm(
2025-10-10T00:48:00.3485037Z 
2025-10-10T00:48:00.3485145Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3485498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3485822Z     return mod(*inputs)
2025-10-10T00:48:00.3486147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3486506Z     x = self.forward_features(x)
2025-10-10T00:48:00.3486874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3487253Z     x = self.blocks(x)
2025-10-10T00:48:00.3487605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3488022Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3488132Z 
2025-10-10T00:48:00.3488250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3488611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3488934Z     return mod(*inputs)
2025-10-10T00:48:00.3489254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3489643Z     x = self.forward_features(x)
2025-10-10T00:48:00.3489997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3490373Z     x = self.blocks(x)
2025-10-10T00:48:00.3490727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3491114Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3491224Z 
2025-10-10T00:48:00.3491351Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3491734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3492087Z     return mod(*inputs)
2025-10-10T00:48:00.3492438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3492805Z     x = self.forward_features(x)
2025-10-10T00:48:00.3493181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3493564Z     x = self.blocks(x)
2025-10-10T00:48:00.3493922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3494296Z     x = self.bn2(x)
2025-10-10T00:48:00.3494625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3494948Z     x = F.batch_norm(
2025-10-10T00:48:00.3495055Z 
2025-10-10T00:48:00.3495140Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3495385Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3495746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3496080Z     return mod(*inputs)
2025-10-10T00:48:00.3496423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3496792Z     x = self.forward_features(x)
2025-10-10T00:48:00.3497173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3497557Z     x = self.blocks(x)
2025-10-10T00:48:00.3497911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3498293Z     x = self.se(x)
2025-10-10T00:48:00.3498654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3499070Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3499213Z 
2025-10-10T00:48:00.3499325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3499725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3500069Z     return mod(*inputs)
2025-10-10T00:48:00.3500417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3500794Z     x = self.forward_features(x)
2025-10-10T00:48:00.3501186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3501574Z     x = self.blocks(x)
2025-10-10T00:48:00.3501937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3502373Z     x = self.se(x)
2025-10-10T00:48:00.3502812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3503229Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3503376Z 
2025-10-10T00:48:00.3503490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3503896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3504304Z     return mod(*inputs)
2025-10-10T00:48:00.3504657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3505039Z     x = self.forward_features(x)
2025-10-10T00:48:00.3505300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3505383Z     x = self.blocks(x)
2025-10-10T00:48:00.3505638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3505719Z     x = self.se(x)
2025-10-10T00:48:00.3505971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3506054Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3506058Z 
2025-10-10T00:48:00.3506173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3506394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3506476Z     return mod(*inputs)
2025-10-10T00:48:00.3506712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3506797Z     x = self.forward_features(x)
2025-10-10T00:48:00.3507053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3507125Z     x = self.blocks(x)
2025-10-10T00:48:00.3507389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3507458Z     x = self.se(x)
2025-10-10T00:48:00.3507718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3507798Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3507802Z 
2025-10-10T00:48:00.3507916Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3508142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3508215Z     return mod(*inputs)
2025-10-10T00:48:00.3508456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3508534Z     x = self.forward_features(x)
2025-10-10T00:48:00.3508795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3508869Z     x = self.blocks(x)
2025-10-10T00:48:00.3509120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3509196Z     x = self.se(x)
2025-10-10T00:48:00.3509446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3509532Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3509536Z 
2025-10-10T00:48:00.3509653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3509869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3509950Z     return mod(*inputs)
2025-10-10T00:48:00.3510183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3510267Z     x = self.forward_features(x)
2025-10-10T00:48:00.3510520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3510628Z     x = self.blocks(x)
2025-10-10T00:48:00.3510886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3510962Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3510966Z 
2025-10-10T00:48:00.3511085Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3511336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3511411Z     return mod(*inputs)
2025-10-10T00:48:00.3511650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3511727Z     x = self.forward_features(x)
2025-10-10T00:48:00.3511996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3512065Z     x = self.blocks(x)
2025-10-10T00:48:00.3512318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3512401Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3512404Z 
2025-10-10T00:48:00.3512513Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3512728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3512983Z     return mod(*inputs)
2025-10-10T00:48:00.3513228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3513305Z     x = self.forward_features(x)
2025-10-10T00:48:00.3513553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3513633Z     x = self.blocks(x)
2025-10-10T00:48:00.3513876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:48:00.3513959Z     x = self.conv_pw(x)
2025-10-10T00:48:00.3513963Z 
2025-10-10T00:48:00.3514074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3514283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3514362Z     return mod(*inputs)
2025-10-10T00:48:00.3514592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3514677Z     x = self.forward_features(x)
2025-10-10T00:48:00.3514925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3515002Z     x = self.blocks(x)
2025-10-10T00:48:00.3515249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:48:00.3515319Z     x = self.conv_dw(x)
2025-10-10T00:48:00.3515325Z 
2025-10-10T00:48:00.3515444Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3515653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3515731Z     return mod(*inputs)
2025-10-10T00:48:00.3515958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3516035Z     x = self.forward_features(x)
2025-10-10T00:48:00.3516291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3516359Z     x = self.blocks(x)
2025-10-10T00:48:00.3516607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:48:00.3516675Z     x = self.bn2(x)
2025-10-10T00:48:00.3516890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3517045Z     x = F.batch_norm(
2025-10-10T00:48:00.3517049Z 
2025-10-10T00:48:00.3517137Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3517253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3517462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3517531Z     return mod(*inputs)
2025-10-10T00:48:00.3517814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3517893Z     x = self.forward_features(x)
2025-10-10T00:48:00.3518149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3518219Z     x = self.blocks(x)
2025-10-10T00:48:00.3518469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3518535Z     x = self.se(x)
2025-10-10T00:48:00.3518777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:48:00.3518874Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:48:00.3518878Z 
2025-10-10T00:48:00.3518986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3519203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3519273Z     return mod(*inputs)
2025-10-10T00:48:00.3519501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3519586Z     x = self.forward_features(x)
2025-10-10T00:48:00.3519833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3519910Z     x = self.blocks(x)
2025-10-10T00:48:00.3520154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3520224Z     x = self.se(x)
2025-10-10T00:48:00.3520478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:48:00.3520557Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:48:00.3520561Z 
2025-10-10T00:48:00.3520677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3520888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3520962Z     return mod(*inputs)
2025-10-10T00:48:00.3521201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3521274Z     x = self.forward_features(x)
2025-10-10T00:48:00.3521514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3521579Z     x = self.blocks(x)
2025-10-10T00:48:00.3521815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3521881Z     x = self.se(x)
2025-10-10T00:48:00.3522109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:48:00.3522190Z     x_se = self.act1(x_se)
2025-10-10T00:48:00.3522194Z 
2025-10-10T00:48:00.3522296Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3522505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3522572Z     return mod(*inputs)
2025-10-10T00:48:00.3522786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3522866Z     x = self.forward_features(x)
2025-10-10T00:48:00.3523114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3523191Z     x = self.blocks(x)
2025-10-10T00:48:00.3523473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3523538Z     x = self.se(x)
2025-10-10T00:48:00.3523787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:48:00.3523866Z     x_se = self.conv_expand(x_se)
2025-10-10T00:48:00.3523870Z 
2025-10-10T00:48:00.3524020Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3524230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3524307Z     return mod(*inputs)
2025-10-10T00:48:00.3524533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3524608Z     x = self.forward_features(x)
2025-10-10T00:48:00.3524866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3524934Z     x = self.blocks(x)
2025-10-10T00:48:00.3525168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:48:00.3525230Z     x = self.se(x)
2025-10-10T00:48:00.3525457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:48:00.3525539Z     return x * self.gate(x_se)
2025-10-10T00:48:00.3525545Z 
2025-10-10T00:48:00.3525650Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3525858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3525924Z     return mod(*inputs)
2025-10-10T00:48:00.3526143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3526228Z     x = self.forward_features(x)
2025-10-10T00:48:00.3526472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3526552Z     x = self.blocks(x)
2025-10-10T00:48:00.3526792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:48:00.3526864Z     x = self.conv_pwl(x)
2025-10-10T00:48:00.3526875Z 
2025-10-10T00:48:00.3526986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3527196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3527275Z     return mod(*inputs)
2025-10-10T00:48:00.3527502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3527585Z     x = self.forward_features(x)
2025-10-10T00:48:00.3527831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3527903Z     x = self.blocks(x)
2025-10-10T00:48:00.3528159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:48:00.3528237Z     x = self.drop_path(x) + shortcut
2025-10-10T00:48:00.3528240Z 
2025-10-10T00:48:00.3528353Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3528550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3528618Z     return mod(*inputs)
2025-10-10T00:48:00.3528838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3528909Z     x = self.forward_features(x)
2025-10-10T00:48:00.3529150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3529215Z     x = self.blocks(x)
2025-10-10T00:48:00.3529442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 111, in forward
2025-10-10T00:48:00.3529561Z     x = self.conv(x)
2025-10-10T00:48:00.3529565Z 
2025-10-10T00:48:00.3529669Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3529871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3529939Z     return mod(*inputs)
2025-10-10T00:48:00.3530194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 271, in forward
2025-10-10T00:48:00.3530267Z     x = self.forward_features(x)
2025-10-10T00:48:00.3530502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 255, in forward_features
2025-10-10T00:48:00.3530577Z     x = self.blocks(x)
2025-10-10T00:48:00.3530806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 112, in forward
2025-10-10T00:48:00.3530877Z     x = self.bn1(x)
2025-10-10T00:48:00.3531086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:48:00.3531150Z     x = F.batch_norm(
2025-10-10T00:48:00.3531154Z 
2025-10-10T00:48:00.3531243Z cudagraph partition due to non gpu ops
2025-10-10T00:48:00.3531347Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3531550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3531618Z     return mod(*inputs)
2025-10-10T00:48:00.3531832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 272, in forward
2025-10-10T00:48:00.3531912Z     x = self.forward_head(x)
2025-10-10T00:48:00.3532140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 259, in forward_head
2025-10-10T00:48:00.3532219Z     x = self.global_pool(x)
2025-10-10T00:48:00.3532456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:48:00.3532527Z     x = self.pool(x)
2025-10-10T00:48:00.3532531Z 
2025-10-10T00:48:00.3532643Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3532839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3532911Z     return mod(*inputs)
2025-10-10T00:48:00.3533130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 272, in forward
2025-10-10T00:48:00.3533209Z     x = self.forward_head(x)
2025-10-10T00:48:00.3533438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 260, in forward_head
2025-10-10T00:48:00.3533509Z     x = self.conv_head(x)
2025-10-10T00:48:00.3533512Z 
2025-10-10T00:48:00.3533625Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3533824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3533903Z     return mod(*inputs)
2025-10-10T00:48:00.3534116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 272, in forward
2025-10-10T00:48:00.3534187Z     x = self.forward_head(x)
2025-10-10T00:48:00.3534420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 262, in forward_head
2025-10-10T00:48:00.3534484Z     x = self.act2(x)
2025-10-10T00:48:00.3534488Z 
2025-10-10T00:48:00.3534602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:00.3534806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:48:00.3534873Z     return mod(*inputs)
2025-10-10T00:48:00.3535097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 272, in forward
2025-10-10T00:48:00.3535167Z     x = self.forward_head(x)
2025-10-10T00:48:00.3535400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilenetv3.py", line 268, in forward_head
2025-10-10T00:48:00.3535521Z     return self.classifier(x)
2025-10-10T00:48:00.3535737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/linear.py", line 19, in forward
2025-10-10T00:48:00.3535860Z     return F.linear(input, self.weight, self.bias)
2025-10-10T00:48:00.3535864Z 
2025-10-10T00:48:20.5389176Z Compilation time (from dynamo_timed): 39.717821064
2025-10-10T00:48:20.5392923Z pass
2025-10-10T00:48:20.5393661Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:20.5394526Z TIMING: _recursive_pre_grad_passes:0.00738 _recursive_joint_graph_passes:0.17983 _recursive_post_grad_passes:0.09578 async_compile.wait:0.91995 code_gen:18.5598 inductor_compile:22.3186 backend_compile:32.69086 gc:0.00222 entire_frame_compile:39.71782 total_wall_time:39.71782
2025-10-10T00:48:20.5395668Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:8890 | attempt fast:221 | fast is_contiguous:221 | FakeTensor.__torch_dispatch__:5503 | ProxyTorchDispatchMode.__torch_dispatch__:3054
2025-10-10T00:48:20.5396306Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique)
2025-10-10T00:48:24.2908682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:48:24.2909583Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:26.6452667Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:48:26.6454304Z   warnings.warn(
2025-10-10T00:48:26.6456565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:48:26.6458015Z   warnings.warn(
2025-10-10T00:48:27.1095170Z 
2025-10-10T00:48:27.2566683Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:48:27.2567115Z 
2025-10-10T00:48:27.6191166Z model.safetensors:   0% 0.00/22.4M [00:00<?, ?B/s]
2025-10-10T00:48:27.6191666Z 
2025-10-10T00:48:27.6192169Z model.safetensors: 100% 22.4M/22.4M [00:00<00:00, 61.8MB/s]
2025-10-10T00:48:27.6192497Z model.safetensors: 100% 22.4M/22.4M [00:00<00:00, 61.7MB/s]
2025-10-10T00:48:27.8925428Z 
2025-10-10T00:48:27.8925898Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:48:27.8945431Z cpu  eval  mobilevit_s                        
2025-10-10T00:48:28.9241563Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:29.1038340Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:29.2816479Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:04.6927413Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6930533Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6930978Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6931713Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6932064Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6932283Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6932634Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6932987Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.6933393Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6934042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6936487Z     return mod(*inputs)
2025-10-10T00:49:04.6936973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6937375Z     x = self.forward_features(x)
2025-10-10T00:49:04.6937778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1421, in forward_features
2025-10-10T00:49:04.6939944Z     x = self.stem(x)
2025-10-10T00:49:04.6940437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6940916Z     x = self.conv(x)
2025-10-10T00:49:04.6941039Z 
2025-10-10T00:49:04.6941181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6941601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6941997Z     return mod(*inputs)
2025-10-10T00:49:04.6942591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6943002Z     x = self.forward_features(x)
2025-10-10T00:49:04.6943402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6943799Z     x = self.stages(x)
2025-10-10T00:49:04.6944165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.6944530Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.6944902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6945257Z     x = self.conv(x)
2025-10-10T00:49:04.6945373Z 
2025-10-10T00:49:04.6945490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6945897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6946261Z     return mod(*inputs)
2025-10-10T00:49:04.6946606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6946969Z     x = self.forward_features(x)
2025-10-10T00:49:04.6947355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6947741Z     x = self.stages(x)
2025-10-10T00:49:04.6948073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.6948430Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.6948774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6949133Z     x = self.conv(x)
2025-10-10T00:49:04.6949239Z 
2025-10-10T00:49:04.6949360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6949775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6950127Z     return mod(*inputs)
2025-10-10T00:49:04.6950474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6950840Z     x = self.forward_features(x)
2025-10-10T00:49:04.6951211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6951579Z     x = self.stages(x)
2025-10-10T00:49:04.6951900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6952420Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6952764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6953118Z     x = self.conv(x)
2025-10-10T00:49:04.6953225Z 
2025-10-10T00:49:04.6953337Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6953790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6954145Z     return mod(*inputs)
2025-10-10T00:49:04.6954495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6954886Z     x = self.forward_features(x)
2025-10-10T00:49:04.6955264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6955653Z     x = self.stages(x)
2025-10-10T00:49:04.6955984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6956345Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6956679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 84, in forward
2025-10-10T00:49:04.6957031Z     x = self.bn(x)
2025-10-10T00:49:04.6957359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:49:04.6957715Z     x = F.batch_norm(
2025-10-10T00:49:04.6957828Z 
2025-10-10T00:49:04.6957940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6958339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6958693Z     return mod(*inputs)
2025-10-10T00:49:04.6959025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6959392Z     x = self.forward_features(x)
2025-10-10T00:49:04.6959761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6960134Z     x = self.stages(x)
2025-10-10T00:49:04.6960468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.6960828Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.6961162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6961522Z     x = self.conv(x)
2025-10-10T00:49:04.6961631Z 
2025-10-10T00:49:04.6961741Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6962131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6962534Z     return mod(*inputs)
2025-10-10T00:49:04.6962864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6963237Z     x = self.forward_features(x)
2025-10-10T00:49:04.6963609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6963983Z     x = self.stages(x)
2025-10-10T00:49:04.6964299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.6964649Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.6964976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6965313Z     x = self.conv(x)
2025-10-10T00:49:04.6965411Z 
2025-10-10T00:49:04.6965521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6966079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6966422Z     return mod(*inputs)
2025-10-10T00:49:04.6966749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6967158Z     x = self.forward_features(x)
2025-10-10T00:49:04.6967523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6967910Z     x = self.stages(x)
2025-10-10T00:49:04.6968253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6968605Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6968986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6969339Z     x = self.conv(x)
2025-10-10T00:49:04.6969459Z 
2025-10-10T00:49:04.6969577Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6969970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6970323Z     return mod(*inputs)
2025-10-10T00:49:04.6970652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6971021Z     x = self.forward_features(x)
2025-10-10T00:49:04.6971396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6971773Z     x = self.stages(x)
2025-10-10T00:49:04.6972085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6972414Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6972748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 84, in forward
2025-10-10T00:49:04.6973109Z     x = self.bn(x)
2025-10-10T00:49:04.6973435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:49:04.6973781Z     x = F.batch_norm(
2025-10-10T00:49:04.6973898Z 
2025-10-10T00:49:04.6974013Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6974409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6974769Z     return mod(*inputs)
2025-10-10T00:49:04.6975099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6975464Z     x = self.forward_features(x)
2025-10-10T00:49:04.6975842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6976226Z     x = self.stages(x)
2025-10-10T00:49:04.6976557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.6976922Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.6977280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6977649Z     x = self.conv(x)
2025-10-10T00:49:04.6977761Z 
2025-10-10T00:49:04.6977887Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6978291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6978643Z     return mod(*inputs)
2025-10-10T00:49:04.6978978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6979344Z     x = self.forward_features(x)
2025-10-10T00:49:04.6979734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6980117Z     x = self.stages(x)
2025-10-10T00:49:04.6980458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.6980823Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.6981181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6981545Z     x = self.conv(x)
2025-10-10T00:49:04.6981662Z 
2025-10-10T00:49:04.6981820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6982212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6982667Z     return mod(*inputs)
2025-10-10T00:49:04.6983022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6983389Z     x = self.forward_features(x)
2025-10-10T00:49:04.6983820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6984208Z     x = self.stages(x)
2025-10-10T00:49:04.6984543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6984892Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6985242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6985606Z     x = self.conv(x)
2025-10-10T00:49:04.6985721Z 
2025-10-10T00:49:04.6985841Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6986236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6986583Z     return mod(*inputs)
2025-10-10T00:49:04.6986954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6987322Z     x = self.forward_features(x)
2025-10-10T00:49:04.6987712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6988093Z     x = self.stages(x)
2025-10-10T00:49:04.6988426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 348, in forward
2025-10-10T00:49:04.6988793Z     x = x + self.shortcut(shortcut)
2025-10-10T00:49:04.6988941Z 
2025-10-10T00:49:04.6989065Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6989460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6989809Z     return mod(*inputs)
2025-10-10T00:49:04.6990149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6990522Z     x = self.forward_features(x)
2025-10-10T00:49:04.6990876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6991223Z     x = self.stages(x)
2025-10-10T00:49:04.6991528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.6991855Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.6992180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6992514Z     x = self.conv(x)
2025-10-10T00:49:04.6992611Z 
2025-10-10T00:49:04.6992713Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6993081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6993406Z     return mod(*inputs)
2025-10-10T00:49:04.6993729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6994078Z     x = self.forward_features(x)
2025-10-10T00:49:04.6994446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6994795Z     x = self.stages(x)
2025-10-10T00:49:04.6995097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.6995423Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.6995735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6996070Z     x = self.conv(x)
2025-10-10T00:49:04.6996173Z 
2025-10-10T00:49:04.6996327Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.6996690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.6997007Z     return mod(*inputs)
2025-10-10T00:49:04.6997318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.6997661Z     x = self.forward_features(x)
2025-10-10T00:49:04.6998068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.6998422Z     x = self.stages(x)
2025-10-10T00:49:04.6998723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.6999053Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.6999376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.6999710Z     x = self.conv(x)
2025-10-10T00:49:04.6999814Z 
2025-10-10T00:49:04.6999920Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7000289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7000622Z     return mod(*inputs)
2025-10-10T00:49:04.7000938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7001282Z     x = self.forward_features(x)
2025-10-10T00:49:04.7001630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7001983Z     x = self.stages(x)
2025-10-10T00:49:04.7002290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 348, in forward
2025-10-10T00:49:04.7002627Z     x = x + self.shortcut(shortcut)
2025-10-10T00:49:04.7002760Z 
2025-10-10T00:49:04.7002866Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7003233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7003562Z     return mod(*inputs)
2025-10-10T00:49:04.7003876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7004217Z     x = self.forward_features(x)
2025-10-10T00:49:04.7004561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7004916Z     x = self.stages(x)
2025-10-10T00:49:04.7005240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.7005599Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.7005951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7006310Z     x = self.conv(x)
2025-10-10T00:49:04.7006422Z 
2025-10-10T00:49:04.7006530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7006916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7007262Z     return mod(*inputs)
2025-10-10T00:49:04.7007567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7007903Z     x = self.forward_features(x)
2025-10-10T00:49:04.7008260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7008631Z     x = self.stages(x)
2025-10-10T00:49:04.7008955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.7009313Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.7009650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7010010Z     x = self.conv(x)
2025-10-10T00:49:04.7010113Z 
2025-10-10T00:49:04.7010271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7010665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7011036Z     return mod(*inputs)
2025-10-10T00:49:04.7011381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7011753Z     x = self.forward_features(x)
2025-10-10T00:49:04.7012194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7012569Z     x = self.stages(x)
2025-10-10T00:49:04.7013094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.7013467Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.7013817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7014176Z     x = self.conv(x)
2025-10-10T00:49:04.7014296Z 
2025-10-10T00:49:04.7014407Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7014816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7015187Z     return mod(*inputs)
2025-10-10T00:49:04.7015525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7015900Z     x = self.forward_features(x)
2025-10-10T00:49:04.7016287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7016682Z     x = self.stages(x)
2025-10-10T00:49:04.7017028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 233, in forward
2025-10-10T00:49:04.7017404Z     x = self.conv_kxk(x)
2025-10-10T00:49:04.7017762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7018139Z     x = self.conv(x)
2025-10-10T00:49:04.7018255Z 
2025-10-10T00:49:04.7018375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7018767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7019132Z     return mod(*inputs)
2025-10-10T00:49:04.7019475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7019848Z     x = self.forward_features(x)
2025-10-10T00:49:04.7020220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7020599Z     x = self.stages(x)
2025-10-10T00:49:04.7020936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 234, in forward
2025-10-10T00:49:04.7021300Z     x = self.conv_1x1(x)
2025-10-10T00:49:04.7021418Z 
2025-10-10T00:49:04.7021538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7021942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7022315Z     return mod(*inputs)
2025-10-10T00:49:04.7022727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7023110Z     x = self.forward_features(x)
2025-10-10T00:49:04.7023503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7023887Z     x = self.stages(x)
2025-10-10T00:49:04.7024228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7024602Z     x = self.transformer(x)
2025-10-10T00:49:04.7024979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7025408Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7025996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7026491Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7026727Z 
2025-10-10T00:49:04.7026834Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7027107Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7027565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7027926Z     return mod(*inputs)
2025-10-10T00:49:04.7028271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7028639Z     x = self.forward_features(x)
2025-10-10T00:49:04.7029013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7029399Z     x = self.stages(x)
2025-10-10T00:49:04.7029748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7030128Z     x = self.transformer(x)
2025-10-10T00:49:04.7030512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7030940Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7031332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7031695Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7031829Z 
2025-10-10T00:49:04.7031941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7032290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7032613Z     return mod(*inputs)
2025-10-10T00:49:04.7032927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7033271Z     x = self.forward_features(x)
2025-10-10T00:49:04.7033620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7033965Z     x = self.stages(x)
2025-10-10T00:49:04.7034284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7034614Z     x = self.transformer(x)
2025-10-10T00:49:04.7034953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7035339Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7035727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7036074Z     x = self.proj(x)
2025-10-10T00:49:04.7036171Z 
2025-10-10T00:49:04.7036285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7036676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7037019Z     return mod(*inputs)
2025-10-10T00:49:04.7037348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7037720Z     x = self.forward_features(x)
2025-10-10T00:49:04.7038073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7038414Z     x = self.stages(x)
2025-10-10T00:49:04.7038726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7039072Z     x = self.transformer(x)
2025-10-10T00:49:04.7039413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7039814Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7040213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7040554Z     x = self.fc1(x)
2025-10-10T00:49:04.7040666Z 
2025-10-10T00:49:04.7040779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7041152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7041463Z     return mod(*inputs)
2025-10-10T00:49:04.7041806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7042143Z     x = self.forward_features(x)
2025-10-10T00:49:04.7042519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7042892Z     x = self.stages(x)
2025-10-10T00:49:04.7043216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7043577Z     x = self.transformer(x)
2025-10-10T00:49:04.7043944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7044369Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7044722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7045042Z     x = self.act(x)
2025-10-10T00:49:04.7045144Z 
2025-10-10T00:49:04.7045251Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7045619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7045933Z     return mod(*inputs)
2025-10-10T00:49:04.7046231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7046561Z     x = self.forward_features(x)
2025-10-10T00:49:04.7046903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7047254Z     x = self.stages(x)
2025-10-10T00:49:04.7047553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7047886Z     x = self.transformer(x)
2025-10-10T00:49:04.7048228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7048625Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7048977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7049279Z     x = self.fc2(x)
2025-10-10T00:49:04.7049381Z 
2025-10-10T00:49:04.7049485Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7049842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7050169Z     return mod(*inputs)
2025-10-10T00:49:04.7050488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7050811Z     x = self.forward_features(x)
2025-10-10T00:49:04.7051154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7051501Z     x = self.stages(x)
2025-10-10T00:49:04.7051807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7052132Z     x = self.transformer(x)
2025-10-10T00:49:04.7052469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7052868Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7053246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7053742Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7053948Z 
2025-10-10T00:49:04.7054036Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7054286Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7054667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7055018Z     return mod(*inputs)
2025-10-10T00:49:04.7055392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7055755Z     x = self.forward_features(x)
2025-10-10T00:49:04.7056128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7056502Z     x = self.stages(x)
2025-10-10T00:49:04.7056819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7057152Z     x = self.transformer(x)
2025-10-10T00:49:04.7057519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7057951Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7058366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7058750Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7058902Z 
2025-10-10T00:49:04.7059018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7059410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7059764Z     return mod(*inputs)
2025-10-10T00:49:04.7060103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7060460Z     x = self.forward_features(x)
2025-10-10T00:49:04.7060832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7061203Z     x = self.stages(x)
2025-10-10T00:49:04.7061532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7061898Z     x = self.transformer(x)
2025-10-10T00:49:04.7062263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7062785Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7063228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7063627Z     x = self.proj(x)
2025-10-10T00:49:04.7063742Z 
2025-10-10T00:49:04.7063858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7064232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7064554Z     return mod(*inputs)
2025-10-10T00:49:04.7064855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7065180Z     x = self.forward_features(x)
2025-10-10T00:49:04.7065507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7065842Z     x = self.stages(x)
2025-10-10T00:49:04.7066155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7066493Z     x = self.transformer(x)
2025-10-10T00:49:04.7066832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7067235Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7067590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7067953Z     x = self.fc1(x)
2025-10-10T00:49:04.7068052Z 
2025-10-10T00:49:04.7068167Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7068533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7068855Z     return mod(*inputs)
2025-10-10T00:49:04.7069168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7069549Z     x = self.forward_features(x)
2025-10-10T00:49:04.7069902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7070263Z     x = self.stages(x)
2025-10-10T00:49:04.7070584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7070939Z     x = self.transformer(x)
2025-10-10T00:49:04.7071283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7071694Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7072062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7072382Z     x = self.act(x)
2025-10-10T00:49:04.7072480Z 
2025-10-10T00:49:04.7072592Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7072957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7073298Z     return mod(*inputs)
2025-10-10T00:49:04.7073635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7074014Z     x = self.forward_features(x)
2025-10-10T00:49:04.7074387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7074769Z     x = self.stages(x)
2025-10-10T00:49:04.7075118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7075462Z     x = self.transformer(x)
2025-10-10T00:49:04.7075813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7076210Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7076574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7076894Z     x = self.fc2(x)
2025-10-10T00:49:04.7076989Z 
2025-10-10T00:49:04.7077104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7077471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7077795Z     return mod(*inputs)
2025-10-10T00:49:04.7078111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7078457Z     x = self.forward_features(x)
2025-10-10T00:49:04.7078818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7079168Z     x = self.stages(x)
2025-10-10T00:49:04.7079488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7079837Z     x = self.transformer(x)
2025-10-10T00:49:04.7080194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7080598Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7080764Z 
2025-10-10T00:49:04.7080869Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7081240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7081572Z     return mod(*inputs)
2025-10-10T00:49:04.7081898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7082259Z     x = self.forward_features(x)
2025-10-10T00:49:04.7082604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7082947Z     x = self.stages(x)
2025-10-10T00:49:04.7083255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 262, in forward
2025-10-10T00:49:04.7083761Z     x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w)
2025-10-10T00:49:04.7083979Z 
2025-10-10T00:49:04.7084071Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7084336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7084729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7085088Z     return mod(*inputs)
2025-10-10T00:49:04.7085425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7085780Z     x = self.forward_features(x)
2025-10-10T00:49:04.7086131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7086486Z     x = self.stages(x)
2025-10-10T00:49:04.7086802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 266, in forward
2025-10-10T00:49:04.7087128Z     x = self.conv_proj(x)
2025-10-10T00:49:04.7087451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7087779Z     x = self.conv(x)
2025-10-10T00:49:04.7087878Z 
2025-10-10T00:49:04.7087987Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7088334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7088653Z     return mod(*inputs)
2025-10-10T00:49:04.7088962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7089294Z     x = self.forward_features(x)
2025-10-10T00:49:04.7089634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7089978Z     x = self.stages(x)
2025-10-10T00:49:04.7090278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7090627Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7090778Z 
2025-10-10T00:49:04.7090884Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7091228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7091542Z     return mod(*inputs)
2025-10-10T00:49:04.7091846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7092186Z     x = self.forward_features(x)
2025-10-10T00:49:04.7092538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7092885Z     x = self.stages(x)
2025-10-10T00:49:04.7093197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7093576Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7093970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7094317Z     x = self.conv(x)
2025-10-10T00:49:04.7094430Z 
2025-10-10T00:49:04.7094543Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7094927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7095277Z     return mod(*inputs)
2025-10-10T00:49:04.7095606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7095980Z     x = self.forward_features(x)
2025-10-10T00:49:04.7096332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7096689Z     x = self.stages(x)
2025-10-10T00:49:04.7097011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.7097391Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.7097736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7098090Z     x = self.conv(x)
2025-10-10T00:49:04.7098193Z 
2025-10-10T00:49:04.7098311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7098695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7099035Z     return mod(*inputs)
2025-10-10T00:49:04.7099369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7099727Z     x = self.forward_features(x)
2025-10-10T00:49:04.7100098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7100459Z     x = self.stages(x)
2025-10-10T00:49:04.7100785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.7101134Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.7101476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7101828Z     x = self.conv(x)
2025-10-10T00:49:04.7101933Z 
2025-10-10T00:49:04.7102044Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7102504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7102882Z     return mod(*inputs)
2025-10-10T00:49:04.7103222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7103582Z     x = self.forward_features(x)
2025-10-10T00:49:04.7103972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7104360Z     x = self.stages(x)
2025-10-10T00:49:04.7104694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.7105049Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.7105385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7105740Z     x = self.conv(x)
2025-10-10T00:49:04.7105852Z 
2025-10-10T00:49:04.7105965Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7106353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7106716Z     return mod(*inputs)
2025-10-10T00:49:04.7107047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7107413Z     x = self.forward_features(x)
2025-10-10T00:49:04.7107786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7108162Z     x = self.stages(x)
2025-10-10T00:49:04.7108488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 233, in forward
2025-10-10T00:49:04.7108848Z     x = self.conv_kxk(x)
2025-10-10T00:49:04.7109197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7109558Z     x = self.conv(x)
2025-10-10T00:49:04.7109664Z 
2025-10-10T00:49:04.7109776Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7110170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7110585Z     return mod(*inputs)
2025-10-10T00:49:04.7110919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7111276Z     x = self.forward_features(x)
2025-10-10T00:49:04.7111646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7112060Z     x = self.stages(x)
2025-10-10T00:49:04.7112396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 234, in forward
2025-10-10T00:49:04.7112874Z     x = self.conv_1x1(x)
2025-10-10T00:49:04.7113005Z 
2025-10-10T00:49:04.7113123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7113518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7113866Z     return mod(*inputs)
2025-10-10T00:49:04.7114226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7114572Z     x = self.forward_features(x)
2025-10-10T00:49:04.7114921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7115296Z     x = self.stages(x)
2025-10-10T00:49:04.7115631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7115994Z     x = self.transformer(x)
2025-10-10T00:49:04.7116363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7116803Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7117221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7117669Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7117883Z 
2025-10-10T00:49:04.7117979Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7118225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7118594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7118926Z     return mod(*inputs)
2025-10-10T00:49:04.7119247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7119581Z     x = self.forward_features(x)
2025-10-10T00:49:04.7119936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7120289Z     x = self.stages(x)
2025-10-10T00:49:04.7120605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7120947Z     x = self.transformer(x)
2025-10-10T00:49:04.7121293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7121702Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7122101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7122475Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7122614Z 
2025-10-10T00:49:04.7122731Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7123090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7123427Z     return mod(*inputs)
2025-10-10T00:49:04.7123746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7124085Z     x = self.forward_features(x)
2025-10-10T00:49:04.7124431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7124912Z     x = self.stages(x)
2025-10-10T00:49:04.7125260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7125612Z     x = self.transformer(x)
2025-10-10T00:49:04.7125962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7126442Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7126848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7127212Z     x = self.proj(x)
2025-10-10T00:49:04.7127318Z 
2025-10-10T00:49:04.7127432Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7127795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7128135Z     return mod(*inputs)
2025-10-10T00:49:04.7128450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7128793Z     x = self.forward_features(x)
2025-10-10T00:49:04.7129153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7129509Z     x = self.stages(x)
2025-10-10T00:49:04.7129829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7130171Z     x = self.transformer(x)
2025-10-10T00:49:04.7130519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7130924Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7131278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7131588Z     x = self.fc1(x)
2025-10-10T00:49:04.7131689Z 
2025-10-10T00:49:04.7131799Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7132157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7132473Z     return mod(*inputs)
2025-10-10T00:49:04.7132781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7133115Z     x = self.forward_features(x)
2025-10-10T00:49:04.7133473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7133823Z     x = self.stages(x)
2025-10-10T00:49:04.7134159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7134522Z     x = self.transformer(x)
2025-10-10T00:49:04.7134897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7135323Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7135686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7135996Z     x = self.act(x)
2025-10-10T00:49:04.7136102Z 
2025-10-10T00:49:04.7136207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7136573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7136894Z     return mod(*inputs)
2025-10-10T00:49:04.7137229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7137603Z     x = self.forward_features(x)
2025-10-10T00:49:04.7137978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7138349Z     x = self.stages(x)
2025-10-10T00:49:04.7138667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7139051Z     x = self.transformer(x)
2025-10-10T00:49:04.7139417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7139837Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7140257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7140589Z     x = self.fc2(x)
2025-10-10T00:49:04.7140702Z 
2025-10-10T00:49:04.7140814Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7141213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7141570Z     return mod(*inputs)
2025-10-10T00:49:04.7141895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7142264Z     x = self.forward_features(x)
2025-10-10T00:49:04.7142745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7143154Z     x = self.stages(x)
2025-10-10T00:49:04.7143490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7143857Z     x = self.transformer(x)
2025-10-10T00:49:04.7144206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7144602Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7144994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7145420Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7145637Z 
2025-10-10T00:49:04.7145723Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7145975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7146350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7146673Z     return mod(*inputs)
2025-10-10T00:49:04.7146972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7147305Z     x = self.forward_features(x)
2025-10-10T00:49:04.7147653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7147998Z     x = self.stages(x)
2025-10-10T00:49:04.7148297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7148632Z     x = self.transformer(x)
2025-10-10T00:49:04.7148985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7149405Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7149792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7150156Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7150303Z 
2025-10-10T00:49:04.7150410Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7150778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7151107Z     return mod(*inputs)
2025-10-10T00:49:04.7151412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7151749Z     x = self.forward_features(x)
2025-10-10T00:49:04.7152098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7152448Z     x = self.stages(x)
2025-10-10T00:49:04.7152758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7153142Z     x = self.transformer(x)
2025-10-10T00:49:04.7153489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7153909Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7154386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7154762Z     x = self.proj(x)
2025-10-10T00:49:04.7154883Z 
2025-10-10T00:49:04.7154997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7155382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7155734Z     return mod(*inputs)
2025-10-10T00:49:04.7156050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7156386Z     x = self.forward_features(x)
2025-10-10T00:49:04.7156735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7157089Z     x = self.stages(x)
2025-10-10T00:49:04.7157406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7157738Z     x = self.transformer(x)
2025-10-10T00:49:04.7158091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7158492Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7158853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7159173Z     x = self.fc1(x)
2025-10-10T00:49:04.7159272Z 
2025-10-10T00:49:04.7159380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7159749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7160085Z     return mod(*inputs)
2025-10-10T00:49:04.7160401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7160732Z     x = self.forward_features(x)
2025-10-10T00:49:04.7161083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7161443Z     x = self.stages(x)
2025-10-10T00:49:04.7161751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7162090Z     x = self.transformer(x)
2025-10-10T00:49:04.7162432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7162834Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7163198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7163534Z     x = self.act(x)
2025-10-10T00:49:04.7163637Z 
2025-10-10T00:49:04.7163759Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7164123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7164451Z     return mod(*inputs)
2025-10-10T00:49:04.7164768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7165117Z     x = self.forward_features(x)
2025-10-10T00:49:04.7165452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7165800Z     x = self.stages(x)
2025-10-10T00:49:04.7166114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7166455Z     x = self.transformer(x)
2025-10-10T00:49:04.7166865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7167298Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7167684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7168028Z     x = self.fc2(x)
2025-10-10T00:49:04.7168132Z 
2025-10-10T00:49:04.7168301Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7168659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7168986Z     return mod(*inputs)
2025-10-10T00:49:04.7169299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7169634Z     x = self.forward_features(x)
2025-10-10T00:49:04.7169973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7170327Z     x = self.stages(x)
2025-10-10T00:49:04.7170638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7170975Z     x = self.transformer(x)
2025-10-10T00:49:04.7171317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7171708Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7171880Z 
2025-10-10T00:49:04.7171986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7172355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7172672Z     return mod(*inputs)
2025-10-10T00:49:04.7172970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7173298Z     x = self.forward_features(x)
2025-10-10T00:49:04.7173641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7173982Z     x = self.stages(x)
2025-10-10T00:49:04.7174287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7174607Z     x = self.transformer(x)
2025-10-10T00:49:04.7174945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7175345Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7175741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7176216Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7176438Z 
2025-10-10T00:49:04.7176529Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7176792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7177180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7177526Z     return mod(*inputs)
2025-10-10T00:49:04.7177855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7178215Z     x = self.forward_features(x)
2025-10-10T00:49:04.7178589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7178963Z     x = self.stages(x)
2025-10-10T00:49:04.7179294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7179643Z     x = self.transformer(x)
2025-10-10T00:49:04.7180007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7180441Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7180910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7181304Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7181456Z 
2025-10-10T00:49:04.7181571Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7181956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7182345Z     return mod(*inputs)
2025-10-10T00:49:04.7182770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7183126Z     x = self.forward_features(x)
2025-10-10T00:49:04.7183502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7183882Z     x = self.stages(x)
2025-10-10T00:49:04.7184223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7184592Z     x = self.transformer(x)
2025-10-10T00:49:04.7184967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7185450Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7185912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7186305Z     x = self.proj(x)
2025-10-10T00:49:04.7186416Z 
2025-10-10T00:49:04.7186530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7186928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7187287Z     return mod(*inputs)
2025-10-10T00:49:04.7187625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7187982Z     x = self.forward_features(x)
2025-10-10T00:49:04.7188358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7188730Z     x = self.stages(x)
2025-10-10T00:49:04.7189065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7189442Z     x = self.transformer(x)
2025-10-10T00:49:04.7189807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7190241Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7190620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7190953Z     x = self.fc1(x)
2025-10-10T00:49:04.7191055Z 
2025-10-10T00:49:04.7191176Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7191593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7191957Z     return mod(*inputs)
2025-10-10T00:49:04.7192296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7192675Z     x = self.forward_features(x)
2025-10-10T00:49:04.7193021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7193412Z     x = self.stages(x)
2025-10-10T00:49:04.7193729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7194072Z     x = self.transformer(x)
2025-10-10T00:49:04.7194414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7194813Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7195173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7195535Z     x = self.act(x)
2025-10-10T00:49:04.7195632Z 
2025-10-10T00:49:04.7195747Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7196107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7196449Z     return mod(*inputs)
2025-10-10T00:49:04.7196780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7197177Z     x = self.forward_features(x)
2025-10-10T00:49:04.7197553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7197927Z     x = self.stages(x)
2025-10-10T00:49:04.7198259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7198611Z     x = self.transformer(x)
2025-10-10T00:49:04.7198957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7199353Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7199709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7200022Z     x = self.fc2(x)
2025-10-10T00:49:04.7200120Z 
2025-10-10T00:49:04.7200233Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7200600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7200924Z     return mod(*inputs)
2025-10-10T00:49:04.7201237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7201571Z     x = self.forward_features(x)
2025-10-10T00:49:04.7201916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7202260Z     x = self.stages(x)
2025-10-10T00:49:04.7202590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7202944Z     x = self.transformer(x)
2025-10-10T00:49:04.7203312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7203735Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7204149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7204616Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7204833Z 
2025-10-10T00:49:04.7204920Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7205175Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7205530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7205859Z     return mod(*inputs)
2025-10-10T00:49:04.7206175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7206514Z     x = self.forward_features(x)
2025-10-10T00:49:04.7206872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7207241Z     x = self.stages(x)
2025-10-10T00:49:04.7207584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7207943Z     x = self.transformer(x)
2025-10-10T00:49:04.7208311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7208731Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7209149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7209580Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7209716Z 
2025-10-10T00:49:04.7209831Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7210216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7210559Z     return mod(*inputs)
2025-10-10T00:49:04.7210894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7211304Z     x = self.forward_features(x)
2025-10-10T00:49:04.7211682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7212054Z     x = self.stages(x)
2025-10-10T00:49:04.7212374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7212731Z     x = self.transformer(x)
2025-10-10T00:49:04.7213239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7213671Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7214085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7214467Z     x = self.proj(x)
2025-10-10T00:49:04.7214586Z 
2025-10-10T00:49:04.7214699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7215089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7215435Z     return mod(*inputs)
2025-10-10T00:49:04.7215759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7216118Z     x = self.forward_features(x)
2025-10-10T00:49:04.7216488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7216861Z     x = self.stages(x)
2025-10-10T00:49:04.7217183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7217536Z     x = self.transformer(x)
2025-10-10T00:49:04.7217899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7218318Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7218695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7219020Z     x = self.fc1(x)
2025-10-10T00:49:04.7219128Z 
2025-10-10T00:49:04.7219243Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7219623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7219967Z     return mod(*inputs)
2025-10-10T00:49:04.7220288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7220646Z     x = self.forward_features(x)
2025-10-10T00:49:04.7221023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7221375Z     x = self.stages(x)
2025-10-10T00:49:04.7221695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7222043Z     x = self.transformer(x)
2025-10-10T00:49:04.7222455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7222896Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7223287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7223623Z     x = self.act(x)
2025-10-10T00:49:04.7223728Z 
2025-10-10T00:49:04.7223834Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7224284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7224609Z     return mod(*inputs)
2025-10-10T00:49:04.7224920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7225259Z     x = self.forward_features(x)
2025-10-10T00:49:04.7225666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7226030Z     x = self.stages(x)
2025-10-10T00:49:04.7226347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7226680Z     x = self.transformer(x)
2025-10-10T00:49:04.7227031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7227431Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7227799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7228114Z     x = self.fc2(x)
2025-10-10T00:49:04.7228213Z 
2025-10-10T00:49:04.7228323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7228694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7229024Z     return mod(*inputs)
2025-10-10T00:49:04.7229343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7229677Z     x = self.forward_features(x)
2025-10-10T00:49:04.7230032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7230387Z     x = self.stages(x)
2025-10-10T00:49:04.7230705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7231046Z     x = self.transformer(x)
2025-10-10T00:49:04.7231393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7231773Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7231939Z 
2025-10-10T00:49:04.7232054Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7232439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7232779Z     return mod(*inputs)
2025-10-10T00:49:04.7233114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7233473Z     x = self.forward_features(x)
2025-10-10T00:49:04.7233847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7234200Z     x = self.stages(x)
2025-10-10T00:49:04.7234493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 262, in forward
2025-10-10T00:49:04.7234893Z     x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w)
2025-10-10T00:49:04.7235098Z 
2025-10-10T00:49:04.7235180Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7235417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7235755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7236070Z     return mod(*inputs)
2025-10-10T00:49:04.7236372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7236694Z     x = self.forward_features(x)
2025-10-10T00:49:04.7237033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7237362Z     x = self.stages(x)
2025-10-10T00:49:04.7237673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 266, in forward
2025-10-10T00:49:04.7238045Z     x = self.conv_proj(x)
2025-10-10T00:49:04.7238369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7238694Z     x = self.conv(x)
2025-10-10T00:49:04.7238806Z 
2025-10-10T00:49:04.7238911Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7239370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7239698Z     return mod(*inputs)
2025-10-10T00:49:04.7240004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7240332Z     x = self.forward_features(x)
2025-10-10T00:49:04.7240674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7241023Z     x = self.stages(x)
2025-10-10T00:49:04.7241334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7241693Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7241856Z 
2025-10-10T00:49:04.7241961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7242318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7242667Z     return mod(*inputs)
2025-10-10T00:49:04.7243000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7243352Z     x = self.forward_features(x)
2025-10-10T00:49:04.7243725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7244103Z     x = self.stages(x)
2025-10-10T00:49:04.7244434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7244800Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7245175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7245510Z     x = self.conv(x)
2025-10-10T00:49:04.7245611Z 
2025-10-10T00:49:04.7245726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7246102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7246411Z     return mod(*inputs)
2025-10-10T00:49:04.7246713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7247039Z     x = self.forward_features(x)
2025-10-10T00:49:04.7247389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7247773Z     x = self.stages(x)
2025-10-10T00:49:04.7248091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 340, in forward
2025-10-10T00:49:04.7248444Z     x = self.conv1_1x1(x)
2025-10-10T00:49:04.7248793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7249151Z     x = self.conv(x)
2025-10-10T00:49:04.7249266Z 
2025-10-10T00:49:04.7249371Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7249782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7250135Z     return mod(*inputs)
2025-10-10T00:49:04.7250466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7250824Z     x = self.forward_features(x)
2025-10-10T00:49:04.7251201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7251569Z     x = self.stages(x)
2025-10-10T00:49:04.7252364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 341, in forward
2025-10-10T00:49:04.7252727Z     x = self.conv2_kxk(x)
2025-10-10T00:49:04.7253063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7253424Z     x = self.conv(x)
2025-10-10T00:49:04.7253538Z 
2025-10-10T00:49:04.7253651Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7254099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7254444Z     return mod(*inputs)
2025-10-10T00:49:04.7254782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7255148Z     x = self.forward_features(x)
2025-10-10T00:49:04.7255524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7255900Z     x = self.stages(x)
2025-10-10T00:49:04.7256228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 344, in forward
2025-10-10T00:49:04.7256591Z     x = self.conv3_1x1(x)
2025-10-10T00:49:04.7256934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7257289Z     x = self.conv(x)
2025-10-10T00:49:04.7257393Z 
2025-10-10T00:49:04.7257507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7257896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7258242Z     return mod(*inputs)
2025-10-10T00:49:04.7258577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7258930Z     x = self.forward_features(x)
2025-10-10T00:49:04.7259293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7259672Z     x = self.stages(x)
2025-10-10T00:49:04.7259997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 233, in forward
2025-10-10T00:49:04.7260332Z     x = self.conv_kxk(x)
2025-10-10T00:49:04.7260646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7260982Z     x = self.conv(x)
2025-10-10T00:49:04.7261086Z 
2025-10-10T00:49:04.7261195Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7261560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7261902Z     return mod(*inputs)
2025-10-10T00:49:04.7262224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7262747Z     x = self.forward_features(x)
2025-10-10T00:49:04.7263132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7263527Z     x = self.stages(x)
2025-10-10T00:49:04.7263852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 234, in forward
2025-10-10T00:49:04.7264190Z     x = self.conv_1x1(x)
2025-10-10T00:49:04.7264309Z 
2025-10-10T00:49:04.7264415Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7264791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7265115Z     return mod(*inputs)
2025-10-10T00:49:04.7265420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7265761Z     x = self.forward_features(x)
2025-10-10T00:49:04.7266111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7266462Z     x = self.stages(x)
2025-10-10T00:49:04.7266832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7267170Z     x = self.transformer(x)
2025-10-10T00:49:04.7267521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7267932Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7268372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7268808Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7269026Z 
2025-10-10T00:49:04.7269113Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7269362Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7269726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7270046Z     return mod(*inputs)
2025-10-10T00:49:04.7270367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7270712Z     x = self.forward_features(x)
2025-10-10T00:49:04.7271044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7271377Z     x = self.stages(x)
2025-10-10T00:49:04.7271669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7272004Z     x = self.transformer(x)
2025-10-10T00:49:04.7272371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7272794Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7273212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7273608Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7273763Z 
2025-10-10T00:49:04.7273877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7274269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7274630Z     return mod(*inputs)
2025-10-10T00:49:04.7274918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7275238Z     x = self.forward_features(x)
2025-10-10T00:49:04.7275567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7275899Z     x = self.stages(x)
2025-10-10T00:49:04.7276197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7276513Z     x = self.transformer(x)
2025-10-10T00:49:04.7276843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7277233Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7277619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7277959Z     x = self.proj(x)
2025-10-10T00:49:04.7278069Z 
2025-10-10T00:49:04.7278181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7278530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7278845Z     return mod(*inputs)
2025-10-10T00:49:04.7279140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7279451Z     x = self.forward_features(x)
2025-10-10T00:49:04.7279784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7280114Z     x = self.stages(x)
2025-10-10T00:49:04.7280452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7280767Z     x = self.transformer(x)
2025-10-10T00:49:04.7281099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7281478Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7281885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7282201Z     x = self.fc1(x)
2025-10-10T00:49:04.7282299Z 
2025-10-10T00:49:04.7282406Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7282770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7283110Z     return mod(*inputs)
2025-10-10T00:49:04.7283448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7283815Z     x = self.forward_features(x)
2025-10-10T00:49:04.7284186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7284554Z     x = self.stages(x)
2025-10-10T00:49:04.7284886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7285237Z     x = self.transformer(x)
2025-10-10T00:49:04.7285567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7285956Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7286305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7286611Z     x = self.act(x)
2025-10-10T00:49:04.7286706Z 
2025-10-10T00:49:04.7286810Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7287174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7287501Z     return mod(*inputs)
2025-10-10T00:49:04.7287815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7288152Z     x = self.forward_features(x)
2025-10-10T00:49:04.7288494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7288853Z     x = self.stages(x)
2025-10-10T00:49:04.7289156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7289495Z     x = self.transformer(x)
2025-10-10T00:49:04.7289842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7290231Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7290581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7290892Z     x = self.fc2(x)
2025-10-10T00:49:04.7290988Z 
2025-10-10T00:49:04.7291102Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7291457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7291783Z     return mod(*inputs)
2025-10-10T00:49:04.7292101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7292456Z     x = self.forward_features(x)
2025-10-10T00:49:04.7292700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7292778Z     x = self.stages(x)
2025-10-10T00:49:04.7293014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7293092Z     x = self.transformer(x)
2025-10-10T00:49:04.7293390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7293508Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7293756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7293960Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7293965Z 
2025-10-10T00:49:04.7294058Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7294181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7294395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7294473Z     return mod(*inputs)
2025-10-10T00:49:04.7294675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7294754Z     x = self.forward_features(x)
2025-10-10T00:49:04.7294993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7295056Z     x = self.stages(x)
2025-10-10T00:49:04.7295263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7295333Z     x = self.transformer(x)
2025-10-10T00:49:04.7295562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7295679Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7295901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7295990Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7295994Z 
2025-10-10T00:49:04.7296099Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7296306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7296376Z     return mod(*inputs)
2025-10-10T00:49:04.7296579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7296659Z     x = self.forward_features(x)
2025-10-10T00:49:04.7296903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7296981Z     x = self.stages(x)
2025-10-10T00:49:04.7297198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7297273Z     x = self.transformer(x)
2025-10-10T00:49:04.7297522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7297635Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7297887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7297955Z     x = self.proj(x)
2025-10-10T00:49:04.7297960Z 
2025-10-10T00:49:04.7298070Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7298286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7298356Z     return mod(*inputs)
2025-10-10T00:49:04.7298581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7298660Z     x = self.forward_features(x)
2025-10-10T00:49:04.7298905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7298975Z     x = self.stages(x)
2025-10-10T00:49:04.7299193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7299317Z     x = self.transformer(x)
2025-10-10T00:49:04.7299557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7299677Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7299875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7299945Z     x = self.fc1(x)
2025-10-10T00:49:04.7299949Z 
2025-10-10T00:49:04.7300101Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7300313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7300393Z     return mod(*inputs)
2025-10-10T00:49:04.7300605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7300682Z     x = self.forward_features(x)
2025-10-10T00:49:04.7300926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7300997Z     x = self.stages(x)
2025-10-10T00:49:04.7301221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7301296Z     x = self.transformer(x)
2025-10-10T00:49:04.7301539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7301666Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7301865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7301945Z     x = self.act(x)
2025-10-10T00:49:04.7301949Z 
2025-10-10T00:49:04.7302060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7302280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7302354Z     return mod(*inputs)
2025-10-10T00:49:04.7302664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7302761Z     x = self.forward_features(x)
2025-10-10T00:49:04.7303013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7303094Z     x = self.stages(x)
2025-10-10T00:49:04.7303328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7303408Z     x = self.transformer(x)
2025-10-10T00:49:04.7303666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7303784Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7304003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7304069Z     x = self.fc2(x)
2025-10-10T00:49:04.7304075Z 
2025-10-10T00:49:04.7304189Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7304398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7304467Z     return mod(*inputs)
2025-10-10T00:49:04.7304686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7304759Z     x = self.forward_features(x)
2025-10-10T00:49:04.7304988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7305059Z     x = self.stages(x)
2025-10-10T00:49:04.7305284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7305369Z     x = self.transformer(x)
2025-10-10T00:49:04.7305620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7305809Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7305813Z 
2025-10-10T00:49:04.7305927Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7306144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7306226Z     return mod(*inputs)
2025-10-10T00:49:04.7306485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7306575Z     x = self.forward_features(x)
2025-10-10T00:49:04.7306828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7306901Z     x = self.stages(x)
2025-10-10T00:49:04.7307135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7307211Z     x = self.transformer(x)
2025-10-10T00:49:04.7307466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7307588Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7307836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 88, in forward
2025-10-10T00:49:04.7308016Z     qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
2025-10-10T00:49:04.7308020Z 
2025-10-10T00:49:04.7308117Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7308299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7308540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7308614Z     return mod(*inputs)
2025-10-10T00:49:04.7308846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7308927Z     x = self.forward_features(x)
2025-10-10T00:49:04.7309179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7309262Z     x = self.stages(x)
2025-10-10T00:49:04.7309509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7309596Z     x = self.transformer(x)
2025-10-10T00:49:04.7309864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7309983Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7310244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 93, in forward
2025-10-10T00:49:04.7310336Z     x = F.scaled_dot_product_attention(
2025-10-10T00:49:04.7310340Z 
2025-10-10T00:49:04.7310462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7310702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7310779Z     return mod(*inputs)
2025-10-10T00:49:04.7311026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7311106Z     x = self.forward_features(x)
2025-10-10T00:49:04.7311373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7311445Z     x = self.stages(x)
2025-10-10T00:49:04.7311703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7311790Z     x = self.transformer(x)
2025-10-10T00:49:04.7312050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 169, in forward
2025-10-10T00:49:04.7312175Z     x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
2025-10-10T00:49:04.7312437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 105, in forward
2025-10-10T00:49:04.7312561Z     x = self.proj(x)
2025-10-10T00:49:04.7312565Z 
2025-10-10T00:49:04.7312679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7313068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7313150Z     return mod(*inputs)
2025-10-10T00:49:04.7313425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7313506Z     x = self.forward_features(x)
2025-10-10T00:49:04.7313735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7313801Z     x = self.stages(x)
2025-10-10T00:49:04.7314017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7314089Z     x = self.transformer(x)
2025-10-10T00:49:04.7314333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7314443Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7314636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:49:04.7314711Z     x = self.fc1(x)
2025-10-10T00:49:04.7314715Z 
2025-10-10T00:49:04.7314819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7315036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7315105Z     return mod(*inputs)
2025-10-10T00:49:04.7315320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7315394Z     x = self.forward_features(x)
2025-10-10T00:49:04.7315621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7315700Z     x = self.stages(x)
2025-10-10T00:49:04.7315911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7315993Z     x = self.transformer(x)
2025-10-10T00:49:04.7316223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7316331Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7316531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:49:04.7316597Z     x = self.act(x)
2025-10-10T00:49:04.7316600Z 
2025-10-10T00:49:04.7316712Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7316912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7316981Z     return mod(*inputs)
2025-10-10T00:49:04.7317192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7317270Z     x = self.forward_features(x)
2025-10-10T00:49:04.7317502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7317570Z     x = self.stages(x)
2025-10-10T00:49:04.7317780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 254, in forward
2025-10-10T00:49:04.7317863Z     x = self.transformer(x)
2025-10-10T00:49:04.7318095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/vision_transformer.py", line 170, in forward
2025-10-10T00:49:04.7318209Z     x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
2025-10-10T00:49:04.7318399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:49:04.7318473Z     x = self.fc2(x)
2025-10-10T00:49:04.7318477Z 
2025-10-10T00:49:04.7318582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7318836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7318912Z     return mod(*inputs)
2025-10-10T00:49:04.7319113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7319195Z     x = self.forward_features(x)
2025-10-10T00:49:04.7319452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7319520Z     x = self.stages(x)
2025-10-10T00:49:04.7319737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 262, in forward
2025-10-10T00:49:04.7319890Z     x = x.transpose(1, 2).reshape(B, C, num_patch_h * patch_h, num_patch_w * patch_w)
2025-10-10T00:49:04.7319894Z 
2025-10-10T00:49:04.7319986Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7320091Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7320293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7320369Z     return mod(*inputs)
2025-10-10T00:49:04.7320573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7320652Z     x = self.forward_features(x)
2025-10-10T00:49:04.7320881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7320947Z     x = self.stages(x)
2025-10-10T00:49:04.7321161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 266, in forward
2025-10-10T00:49:04.7321231Z     x = self.conv_proj(x)
2025-10-10T00:49:04.7321450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7321516Z     x = self.conv(x)
2025-10-10T00:49:04.7321519Z 
2025-10-10T00:49:04.7321633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7321832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7321900Z     return mod(*inputs)
2025-10-10T00:49:04.7322116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7322194Z     x = self.forward_features(x)
2025-10-10T00:49:04.7322444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7322515Z     x = self.stages(x)
2025-10-10T00:49:04.7322735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7322861Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7322865Z 
2025-10-10T00:49:04.7322978Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7323201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7323277Z     return mod(*inputs)
2025-10-10T00:49:04.7323507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7323592Z     x = self.forward_features(x)
2025-10-10T00:49:04.7323830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:49:04.7323909Z     x = self.stages(x)
2025-10-10T00:49:04.7324131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/mobilevit.py", line 268, in forward
2025-10-10T00:49:04.7324244Z     x = self.conv_fusion(torch.cat((shortcut, x), dim=1))
2025-10-10T00:49:04.7324453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7324518Z     x = self.conv(x)
2025-10-10T00:49:04.7324521Z 
2025-10-10T00:49:04.7324631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7324865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7324937Z     return mod(*inputs)
2025-10-10T00:49:04.7325137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7325210Z     x = self.forward_features(x)
2025-10-10T00:49:04.7325488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1426, in forward_features
2025-10-10T00:49:04.7325562Z     x = self.final_conv(x)
2025-10-10T00:49:04.7325781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:49:04.7325847Z     x = self.conv(x)
2025-10-10T00:49:04.7325850Z 
2025-10-10T00:49:04.7325952Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7326157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7326227Z     return mod(*inputs)
2025-10-10T00:49:04.7326436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:49:04.7326507Z     x = self.forward_features(x)
2025-10-10T00:49:04.7326732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1426, in forward_features
2025-10-10T00:49:04.7326809Z     x = self.final_conv(x)
2025-10-10T00:49:04.7327021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 84, in forward
2025-10-10T00:49:04.7327102Z     x = self.bn(x)
2025-10-10T00:49:04.7327298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:49:04.7327372Z     x = F.batch_norm(
2025-10-10T00:49:04.7327375Z 
2025-10-10T00:49:04.7327456Z cudagraph partition due to non gpu ops
2025-10-10T00:49:04.7327554Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7327761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7327828Z     return mod(*inputs)
2025-10-10T00:49:04.7328037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1434, in forward
2025-10-10T00:49:04.7328109Z     x = self.forward_head(x)
2025-10-10T00:49:04.7328333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1430, in forward_head
2025-10-10T00:49:04.7328493Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:49:04.7328707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 128, in forward
2025-10-10T00:49:04.7328788Z     x = self.global_pool(x)
2025-10-10T00:49:04.7329030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:49:04.7329098Z     x = self.pool(x)
2025-10-10T00:49:04.7329104Z 
2025-10-10T00:49:04.7329216Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:49:04.7329413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:49:04.7329492Z     return mod(*inputs)
2025-10-10T00:49:04.7329717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1434, in forward
2025-10-10T00:49:04.7329794Z     x = self.forward_head(x)
2025-10-10T00:49:04.7330041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1430, in forward_head
2025-10-10T00:49:04.7330196Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:49:04.7330433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 132, in forward
2025-10-10T00:49:04.7330500Z     x = self.fc(x)
2025-10-10T00:49:04.7330505Z 
2025-10-10T00:49:44.6962239Z Compilation time (from dynamo_timed): 73.977148747
2025-10-10T00:49:44.6963135Z pass
2025-10-10T00:49:44.6963498Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:44.6964518Z TIMING: _recursive_pre_grad_passes:0.00835 _recursive_joint_graph_passes:0.41398 _recursive_post_grad_passes:0.10459 async_compile.wait:2.3698 code_gen:41.37005 inductor_compile:49.29533 backend_compile:63.88414 gc:0.00013 entire_frame_compile:73.97715 total_wall_time:73.97715
2025-10-10T00:49:44.6965999Z STATS: call_* op count: 333 | FakeTensorMode.__torch_dispatch__:10985 | attempt fast:253 | fast is_contiguous:253 | FakeTensor.__torch_dispatch__:6294 | ProxyTorchDispatchMode.__torch_dispatch__:2985
2025-10-10T00:49:44.6974836Z Dynamo produced 1 graphs covering 333 ops with 0 graph breaks (0 unique)
2025-10-10T00:49:53.3071466Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:49:53.3072746Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:55.7116432Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:49:55.7117942Z   warnings.warn(
2025-10-10T00:49:55.7119316Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:49:55.7120745Z   warnings.warn(
2025-10-10T00:49:56.2032198Z 
2025-10-10T00:49:56.5649381Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:56.5653530Z 
2025-10-10T00:49:57.5219646Z model.safetensors:   0% 0.00/140M [00:00<?, ?B/s]
2025-10-10T00:49:57.5219908Z 
2025-10-10T00:49:57.6274040Z model.safetensors:   0% 12.7k/140M [00:00<2:55:55, 13.3kB/s]
2025-10-10T00:49:57.6274305Z 
2025-10-10T00:49:57.8657773Z model.safetensors:  47% 65.8M/140M [00:01<00:00, 84.9MB/s]  
2025-10-10T00:49:57.8660051Z 
2025-10-10T00:49:57.8660850Z model.safetensors: 100% 140M/140M [00:01<00:00, 154MB/s]  
2025-10-10T00:49:57.8661232Z model.safetensors: 100% 140M/140M [00:01<00:00, 108MB/s]
2025-10-10T00:49:58.1728996Z 
2025-10-10T00:49:58.1729954Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:49:58.1744839Z cpu  eval  nfnet_l0                           
2025-10-10T00:49:59.1867310Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:59.4271231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:59.6744051Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:16.4352240Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4352585Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4353852Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4354108Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4354366Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4354600Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4355408Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4355788Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4356236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4356617Z     return mod(*inputs)
2025-10-10T00:50:16.4357036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4357415Z     x = self.forward_features(x)
2025-10-10T00:50:16.4357903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4358320Z     x = self.stem(x)
2025-10-10T00:50:16.4358657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4359153Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4359424Z 
2025-10-10T00:50:16.4359553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4359979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4360371Z     return mod(*inputs)
2025-10-10T00:50:16.4360786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4361154Z     x = self.forward_features(x)
2025-10-10T00:50:16.4361541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4361917Z     x = self.stem(x)
2025-10-10T00:50:16.4362028Z 
2025-10-10T00:50:16.4362156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4362544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4362895Z     return mod(*inputs)
2025-10-10T00:50:16.4363228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4363587Z     x = self.forward_features(x)
2025-10-10T00:50:16.4363954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4364329Z     x = self.stem(x)
2025-10-10T00:50:16.4364662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4365184Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4365444Z 
2025-10-10T00:50:16.4365566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4365991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4366336Z     return mod(*inputs)
2025-10-10T00:50:16.4366661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4367017Z     x = self.forward_features(x)
2025-10-10T00:50:16.4367393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4367763Z     x = self.stem(x)
2025-10-10T00:50:16.4367875Z 
2025-10-10T00:50:16.4367988Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4368376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4368718Z     return mod(*inputs)
2025-10-10T00:50:16.4369037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4369447Z     x = self.forward_features(x)
2025-10-10T00:50:16.4369813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4370173Z     x = self.stem(x)
2025-10-10T00:50:16.4370492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4371020Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4371279Z 
2025-10-10T00:50:16.4371393Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4371782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4372126Z     return mod(*inputs)
2025-10-10T00:50:16.4372488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4372854Z     x = self.forward_features(x)
2025-10-10T00:50:16.4373240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4373645Z     x = self.stem(x)
2025-10-10T00:50:16.4373752Z 
2025-10-10T00:50:16.4373871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4374247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4374593Z     return mod(*inputs)
2025-10-10T00:50:16.4374916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4375269Z     x = self.forward_features(x)
2025-10-10T00:50:16.4375630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 440, in forward_features
2025-10-10T00:50:16.4376000Z     x = self.stem(x)
2025-10-10T00:50:16.4376326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4376796Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4377040Z 
2025-10-10T00:50:16.4377159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4377541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4377894Z     return mod(*inputs)
2025-10-10T00:50:16.4378230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4378669Z     x = self.forward_features(x)
2025-10-10T00:50:16.4379309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4379755Z     x = self.stages(x)
2025-10-10T00:50:16.4380311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4394767Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4395034Z 
2025-10-10T00:50:16.4395199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4395624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4395987Z     return mod(*inputs)
2025-10-10T00:50:16.4396354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4396745Z     x = self.forward_features(x)
2025-10-10T00:50:16.4397146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4397552Z     x = self.stages(x)
2025-10-10T00:50:16.4397926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4398293Z     out = self.conv1(out)
2025-10-10T00:50:16.4398654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4399148Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4399409Z 
2025-10-10T00:50:16.4399532Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4399934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4400291Z     return mod(*inputs)
2025-10-10T00:50:16.4400629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4401128Z     x = self.forward_features(x)
2025-10-10T00:50:16.4401496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4401879Z     x = self.stages(x)
2025-10-10T00:50:16.4402217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4402629Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4402781Z 
2025-10-10T00:50:16.4402900Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4403299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4403656Z     return mod(*inputs)
2025-10-10T00:50:16.4403989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4404349Z     x = self.forward_features(x)
2025-10-10T00:50:16.4404727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4405113Z     x = self.stages(x)
2025-10-10T00:50:16.4405444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4405806Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4406173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4406658Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4406924Z 
2025-10-10T00:50:16.4407046Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4407439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4407784Z     return mod(*inputs)
2025-10-10T00:50:16.4408113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4408473Z     x = self.forward_features(x)
2025-10-10T00:50:16.4408849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4409226Z     x = self.stages(x)
2025-10-10T00:50:16.4409540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4409918Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4410076Z 
2025-10-10T00:50:16.4410192Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4410583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4410927Z     return mod(*inputs)
2025-10-10T00:50:16.4411256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4411610Z     x = self.forward_features(x)
2025-10-10T00:50:16.4411988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4412361Z     x = self.stages(x)
2025-10-10T00:50:16.4412677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4413336Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4413723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4414216Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4414474Z 
2025-10-10T00:50:16.4414601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4414993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4415355Z     return mod(*inputs)
2025-10-10T00:50:16.4415691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4416177Z     x = self.forward_features(x)
2025-10-10T00:50:16.4416548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4416932Z     x = self.stages(x)
2025-10-10T00:50:16.4417262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4417683Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4417832Z 
2025-10-10T00:50:16.4417962Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4418352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4418714Z     return mod(*inputs)
2025-10-10T00:50:16.4419051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4419421Z     x = self.forward_features(x)
2025-10-10T00:50:16.4419810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4420201Z     x = self.stages(x)
2025-10-10T00:50:16.4420539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4420916Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4421296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4421785Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4422053Z 
2025-10-10T00:50:16.4422150Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4422656Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4423059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4423411Z     return mod(*inputs)
2025-10-10T00:50:16.4423752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4424115Z     x = self.forward_features(x)
2025-10-10T00:50:16.4424483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4424849Z     x = self.stages(x)
2025-10-10T00:50:16.4425160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4425528Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4425922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4426303Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4426444Z 
2025-10-10T00:50:16.4426557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4426937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4427286Z     return mod(*inputs)
2025-10-10T00:50:16.4427606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4427953Z     x = self.forward_features(x)
2025-10-10T00:50:16.4428313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4428678Z     x = self.stages(x)
2025-10-10T00:50:16.4428995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4429355Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4429734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4430107Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4430232Z 
2025-10-10T00:50:16.4430343Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4430721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4431112Z     return mod(*inputs)
2025-10-10T00:50:16.4431429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4431782Z     x = self.forward_features(x)
2025-10-10T00:50:16.4432150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4432529Z     x = self.stages(x)
2025-10-10T00:50:16.4432886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4433263Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4433649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4434027Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4434165Z 
2025-10-10T00:50:16.4434262Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4434495Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4434754Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4435141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4435490Z     return mod(*inputs)
2025-10-10T00:50:16.4435814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4436172Z     x = self.forward_features(x)
2025-10-10T00:50:16.4436543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4436913Z     x = self.stages(x)
2025-10-10T00:50:16.4437230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4437590Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4437980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4438353Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4438470Z 
2025-10-10T00:50:16.4438588Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4438962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4439311Z     return mod(*inputs)
2025-10-10T00:50:16.4439639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4439989Z     x = self.forward_features(x)
2025-10-10T00:50:16.4440357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4440721Z     x = self.stages(x)
2025-10-10T00:50:16.4441042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4441405Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4441797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4442168Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4442538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4442962Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4443137Z 
2025-10-10T00:50:16.4443264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4443661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4444012Z     return mod(*inputs)
2025-10-10T00:50:16.4444351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4444699Z     x = self.forward_features(x)
2025-10-10T00:50:16.4445074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4445483Z     x = self.stages(x)
2025-10-10T00:50:16.4445815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4446186Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4446555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4446922Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4447369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4447859Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4448123Z 
2025-10-10T00:50:16.4448239Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4448632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4448979Z     return mod(*inputs)
2025-10-10T00:50:16.4449313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4449670Z     x = self.forward_features(x)
2025-10-10T00:50:16.4450050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4450453Z     x = self.stages(x)
2025-10-10T00:50:16.4450781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4451173Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4451317Z 
2025-10-10T00:50:16.4451435Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4451841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4452191Z     return mod(*inputs)
2025-10-10T00:50:16.4452557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4452946Z     x = self.forward_features(x)
2025-10-10T00:50:16.4453326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4453727Z     x = self.stages(x)
2025-10-10T00:50:16.4454075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4454452Z     out = self.conv1(out)
2025-10-10T00:50:16.4454805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4455314Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4455569Z 
2025-10-10T00:50:16.4455691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4456077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4456430Z     return mod(*inputs)
2025-10-10T00:50:16.4456796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4457193Z     x = self.forward_features(x)
2025-10-10T00:50:16.4457582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4457984Z     x = self.stages(x)
2025-10-10T00:50:16.4458332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4458706Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4458850Z 
2025-10-10T00:50:16.4458973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4459365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4459713Z     return mod(*inputs)
2025-10-10T00:50:16.4460041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4460391Z     x = self.forward_features(x)
2025-10-10T00:50:16.4460807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4461202Z     x = self.stages(x)
2025-10-10T00:50:16.4461543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4461921Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4462332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4462917Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4463176Z 
2025-10-10T00:50:16.4463302Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4463712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4464050Z     return mod(*inputs)
2025-10-10T00:50:16.4464373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4464724Z     x = self.forward_features(x)
2025-10-10T00:50:16.4465090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4465450Z     x = self.stages(x)
2025-10-10T00:50:16.4465768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4466127Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4466269Z 
2025-10-10T00:50:16.4466388Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4466770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4467104Z     return mod(*inputs)
2025-10-10T00:50:16.4467424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4467770Z     x = self.forward_features(x)
2025-10-10T00:50:16.4468139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4468496Z     x = self.stages(x)
2025-10-10T00:50:16.4468815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4469167Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4469534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4469999Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4470246Z 
2025-10-10T00:50:16.4470357Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4470739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4471084Z     return mod(*inputs)
2025-10-10T00:50:16.4471405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4471748Z     x = self.forward_features(x)
2025-10-10T00:50:16.4472120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4472490Z     x = self.stages(x)
2025-10-10T00:50:16.4472809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4473162Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4473301Z 
2025-10-10T00:50:16.4473412Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4473792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4474136Z     return mod(*inputs)
2025-10-10T00:50:16.4474457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4474796Z     x = self.forward_features(x)
2025-10-10T00:50:16.4475211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4475579Z     x = self.stages(x)
2025-10-10T00:50:16.4475898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4476259Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4476625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4477952Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4478241Z 
2025-10-10T00:50:16.4478333Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4478599Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4478986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4479326Z     return mod(*inputs)
2025-10-10T00:50:16.4479655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4480006Z     x = self.forward_features(x)
2025-10-10T00:50:16.4480371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4480736Z     x = self.stages(x)
2025-10-10T00:50:16.4481053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4481420Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4481813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4482202Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4482343Z 
2025-10-10T00:50:16.4482453Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4482833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4483180Z     return mod(*inputs)
2025-10-10T00:50:16.4483501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4483843Z     x = self.forward_features(x)
2025-10-10T00:50:16.4484210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4484585Z     x = self.stages(x)
2025-10-10T00:50:16.4484904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4485273Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4485668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4486057Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4486180Z 
2025-10-10T00:50:16.4486303Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4486701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4487054Z     return mod(*inputs)
2025-10-10T00:50:16.4487391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4487749Z     x = self.forward_features(x)
2025-10-10T00:50:16.4488132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4488521Z     x = self.stages(x)
2025-10-10T00:50:16.4488845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4489220Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4489629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4490018Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4490159Z 
2025-10-10T00:50:16.4490576Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4490870Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4491141Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4491539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4491901Z     return mod(*inputs)
2025-10-10T00:50:16.4492236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4492636Z     x = self.forward_features(x)
2025-10-10T00:50:16.4493030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4493425Z     x = self.stages(x)
2025-10-10T00:50:16.4493763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4494149Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4494558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4494942Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4495063Z 
2025-10-10T00:50:16.4495186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4495575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4495933Z     return mod(*inputs)
2025-10-10T00:50:16.4496277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4496633Z     x = self.forward_features(x)
2025-10-10T00:50:16.4497001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4497379Z     x = self.stages(x)
2025-10-10T00:50:16.4497711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4498093Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4498492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4498875Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4499240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4499657Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4499831Z 
2025-10-10T00:50:16.4499951Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4500336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4500695Z     return mod(*inputs)
2025-10-10T00:50:16.4501033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4501399Z     x = self.forward_features(x)
2025-10-10T00:50:16.4501777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4502154Z     x = self.stages(x)
2025-10-10T00:50:16.4502577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4502963Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4503328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4503681Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4503835Z 
2025-10-10T00:50:16.4503957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4504358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4504717Z     return mod(*inputs)
2025-10-10T00:50:16.4505051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4505398Z     x = self.forward_features(x)
2025-10-10T00:50:16.4505775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4506214Z     x = self.stages(x)
2025-10-10T00:50:16.4506538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4506896Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4507240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4507587Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4507976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4508453Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4508705Z 
2025-10-10T00:50:16.4508819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4509207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4509559Z     return mod(*inputs)
2025-10-10T00:50:16.4509881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4510224Z     x = self.forward_features(x)
2025-10-10T00:50:16.4510590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4510964Z     x = self.stages(x)
2025-10-10T00:50:16.4511286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4511634Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4511767Z 
2025-10-10T00:50:16.4511877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4512260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4512602Z     return mod(*inputs)
2025-10-10T00:50:16.4513139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4513518Z     x = self.forward_features(x)
2025-10-10T00:50:16.4513910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4514287Z     x = self.stages(x)
2025-10-10T00:50:16.4514608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4514957Z     out = self.conv1(out)
2025-10-10T00:50:16.4515302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4515769Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4516032Z 
2025-10-10T00:50:16.4516144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4516529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4516877Z     return mod(*inputs)
2025-10-10T00:50:16.4517194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4517542Z     x = self.forward_features(x)
2025-10-10T00:50:16.4517911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4518283Z     x = self.stages(x)
2025-10-10T00:50:16.4518604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4518952Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4519099Z 
2025-10-10T00:50:16.4519211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4519594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4519939Z     return mod(*inputs)
2025-10-10T00:50:16.4520252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4520705Z     x = self.forward_features(x)
2025-10-10T00:50:16.4521073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4521442Z     x = self.stages(x)
2025-10-10T00:50:16.4521761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4522110Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4522541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4523029Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4523282Z 
2025-10-10T00:50:16.4523409Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4523811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4524168Z     return mod(*inputs)
2025-10-10T00:50:16.4524498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4524853Z     x = self.forward_features(x)
2025-10-10T00:50:16.4525230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4525598Z     x = self.stages(x)
2025-10-10T00:50:16.4525928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4526290Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4526435Z 
2025-10-10T00:50:16.4526560Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4526952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4527299Z     return mod(*inputs)
2025-10-10T00:50:16.4527626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4527985Z     x = self.forward_features(x)
2025-10-10T00:50:16.4528354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4528723Z     x = self.stages(x)
2025-10-10T00:50:16.4529046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4529404Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4529774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4530246Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4530497Z 
2025-10-10T00:50:16.4530609Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4530996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4531346Z     return mod(*inputs)
2025-10-10T00:50:16.4531675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4532021Z     x = self.forward_features(x)
2025-10-10T00:50:16.4532393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4532768Z     x = self.stages(x)
2025-10-10T00:50:16.4533093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4533451Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4533592Z 
2025-10-10T00:50:16.4533706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4534096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4534447Z     return mod(*inputs)
2025-10-10T00:50:16.4534779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4535187Z     x = self.forward_features(x)
2025-10-10T00:50:16.4535564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4535948Z     x = self.stages(x)
2025-10-10T00:50:16.4536277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4536645Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4537046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4537542Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4537804Z 
2025-10-10T00:50:16.4537895Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4538159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4538545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4538902Z     return mod(*inputs)
2025-10-10T00:50:16.4539242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4539609Z     x = self.forward_features(x)
2025-10-10T00:50:16.4539988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4540370Z     x = self.stages(x)
2025-10-10T00:50:16.4540720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4541111Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4541513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4541909Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4542062Z 
2025-10-10T00:50:16.4542176Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4542657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4543025Z     return mod(*inputs)
2025-10-10T00:50:16.4543372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4543736Z     x = self.forward_features(x)
2025-10-10T00:50:16.4544126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4544510Z     x = self.stages(x)
2025-10-10T00:50:16.4544857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4545230Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4545634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4546023Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4546146Z 
2025-10-10T00:50:16.4546270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4546665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4547011Z     return mod(*inputs)
2025-10-10T00:50:16.4547340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4547696Z     x = self.forward_features(x)
2025-10-10T00:50:16.4548071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4548456Z     x = self.stages(x)
2025-10-10T00:50:16.4548782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4549155Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4549553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4549941Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4550081Z 
2025-10-10T00:50:16.4550246Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4550647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4551007Z     return mod(*inputs)
2025-10-10T00:50:16.4551347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4551691Z     x = self.forward_features(x)
2025-10-10T00:50:16.4552113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4552490Z     x = self.stages(x)
2025-10-10T00:50:16.4552816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4553190Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4553580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4553958Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4554090Z 
2025-10-10T00:50:16.4554191Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4554426Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4554673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4555055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4555401Z     return mod(*inputs)
2025-10-10T00:50:16.4555731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4556078Z     x = self.forward_features(x)
2025-10-10T00:50:16.4556438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4556805Z     x = self.stages(x)
2025-10-10T00:50:16.4557124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4557486Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4557865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4558239Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4558597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4559003Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4559177Z 
2025-10-10T00:50:16.4559301Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4559687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4560014Z     return mod(*inputs)
2025-10-10T00:50:16.4560321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4560653Z     x = self.forward_features(x)
2025-10-10T00:50:16.4560991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4561344Z     x = self.stages(x)
2025-10-10T00:50:16.4561657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4562002Z     out = self.conv1(out)
2025-10-10T00:50:16.4562336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4562800Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4563066Z 
2025-10-10T00:50:16.4563181Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4563584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4563928Z     return mod(*inputs)
2025-10-10T00:50:16.4564239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4564586Z     x = self.forward_features(x)
2025-10-10T00:50:16.4565009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4565395Z     x = self.stages(x)
2025-10-10T00:50:16.4565707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4566052Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4566200Z 
2025-10-10T00:50:16.4566347Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4566735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4567080Z     return mod(*inputs)
2025-10-10T00:50:16.4567391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4567739Z     x = self.forward_features(x)
2025-10-10T00:50:16.4568112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4568475Z     x = self.stages(x)
2025-10-10T00:50:16.4568792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4569135Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4569490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4569962Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4570211Z 
2025-10-10T00:50:16.4570331Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4570716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4571053Z     return mod(*inputs)
2025-10-10T00:50:16.4571370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4571711Z     x = self.forward_features(x)
2025-10-10T00:50:16.4572079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4572439Z     x = self.stages(x)
2025-10-10T00:50:16.4572756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4573109Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4573250Z 
2025-10-10T00:50:16.4573369Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4573749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4574086Z     return mod(*inputs)
2025-10-10T00:50:16.4574405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4574754Z     x = self.forward_features(x)
2025-10-10T00:50:16.4575124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4575486Z     x = self.stages(x)
2025-10-10T00:50:16.4575808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4576161Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4576524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4576994Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4577245Z 
2025-10-10T00:50:16.4577356Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4577738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4578082Z     return mod(*inputs)
2025-10-10T00:50:16.4578405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4578748Z     x = self.forward_features(x)
2025-10-10T00:50:16.4579175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4579548Z     x = self.stages(x)
2025-10-10T00:50:16.4579867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4580222Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4580360Z 
2025-10-10T00:50:16.4580472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4580893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4581251Z     return mod(*inputs)
2025-10-10T00:50:16.4581587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4581942Z     x = self.forward_features(x)
2025-10-10T00:50:16.4582325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4582821Z     x = self.stages(x)
2025-10-10T00:50:16.4583157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4583532Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4583902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4584397Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4584661Z 
2025-10-10T00:50:16.4584752Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4585016Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4585398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4585758Z     return mod(*inputs)
2025-10-10T00:50:16.4586093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4586455Z     x = self.forward_features(x)
2025-10-10T00:50:16.4586832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4587212Z     x = self.stages(x)
2025-10-10T00:50:16.4587539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4587918Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4588321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4588707Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4588860Z 
2025-10-10T00:50:16.4588975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4589368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4589726Z     return mod(*inputs)
2025-10-10T00:50:16.4590060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4590410Z     x = self.forward_features(x)
2025-10-10T00:50:16.4590791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4591175Z     x = self.stages(x)
2025-10-10T00:50:16.4591506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4591876Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4592275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4592659Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4592778Z 
2025-10-10T00:50:16.4592906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4593304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4593658Z     return mod(*inputs)
2025-10-10T00:50:16.4594046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4594408Z     x = self.forward_features(x)
2025-10-10T00:50:16.4594789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4595167Z     x = self.stages(x)
2025-10-10T00:50:16.4595524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4595894Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4596288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4596674Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4596812Z 
2025-10-10T00:50:16.4596903Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4597139Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4597395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4597787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4598130Z     return mod(*inputs)
2025-10-10T00:50:16.4598460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4598812Z     x = self.forward_features(x)
2025-10-10T00:50:16.4599189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4599566Z     x = self.stages(x)
2025-10-10T00:50:16.4599878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4600247Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4600646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4601020Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4601140Z 
2025-10-10T00:50:16.4601254Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4601649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4601996Z     return mod(*inputs)
2025-10-10T00:50:16.4602320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4602672Z     x = self.forward_features(x)
2025-10-10T00:50:16.4603047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4603428Z     x = self.stages(x)
2025-10-10T00:50:16.4603761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4604124Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4604511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4604903Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4605276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4605685Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4605859Z 
2025-10-10T00:50:16.4605978Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4606356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4606709Z     return mod(*inputs)
2025-10-10T00:50:16.4607031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4607362Z     x = self.forward_features(x)
2025-10-10T00:50:16.4607737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4608106Z     x = self.stages(x)
2025-10-10T00:50:16.4608429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4608830Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4609182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4609529Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4609676Z 
2025-10-10T00:50:16.4609788Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4610220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4610569Z     return mod(*inputs)
2025-10-10T00:50:16.4610873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4611202Z     x = self.forward_features(x)
2025-10-10T00:50:16.4611552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4611905Z     x = self.stages(x)
2025-10-10T00:50:16.4612221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4612565Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4613070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4613434Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4613802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4614248Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4614496Z 
2025-10-10T00:50:16.4614603Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4614968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4615317Z     return mod(*inputs)
2025-10-10T00:50:16.4615640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4615988Z     x = self.forward_features(x)
2025-10-10T00:50:16.4616357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4616731Z     x = self.stages(x)
2025-10-10T00:50:16.4617056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4617418Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4617564Z 
2025-10-10T00:50:16.4617677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4618060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4618403Z     return mod(*inputs)
2025-10-10T00:50:16.4618724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4619082Z     x = self.forward_features(x)
2025-10-10T00:50:16.4619467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4619853Z     x = self.stages(x)
2025-10-10T00:50:16.4620183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4620539Z     out = self.conv1(out)
2025-10-10T00:50:16.4620890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4621382Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4621636Z 
2025-10-10T00:50:16.4621757Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4622150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4622558Z     return mod(*inputs)
2025-10-10T00:50:16.4622900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4623353Z     x = self.forward_features(x)
2025-10-10T00:50:16.4623737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4624123Z     x = self.stages(x)
2025-10-10T00:50:16.4624459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4624831Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4624977Z 
2025-10-10T00:50:16.4625151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4625543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4625894Z     return mod(*inputs)
2025-10-10T00:50:16.4626240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4626608Z     x = self.forward_features(x)
2025-10-10T00:50:16.4626989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4627382Z     x = self.stages(x)
2025-10-10T00:50:16.4627700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4628061Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4628429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4628932Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4629192Z 
2025-10-10T00:50:16.4629308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4629707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4630064Z     return mod(*inputs)
2025-10-10T00:50:16.4630395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4630746Z     x = self.forward_features(x)
2025-10-10T00:50:16.4631085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4631437Z     x = self.stages(x)
2025-10-10T00:50:16.4631737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4632074Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4632208Z 
2025-10-10T00:50:16.4632317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4632680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4633005Z     return mod(*inputs)
2025-10-10T00:50:16.4633318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4633661Z     x = self.forward_features(x)
2025-10-10T00:50:16.4634019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4634399Z     x = self.stages(x)
2025-10-10T00:50:16.4634722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4635093Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4635445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4635915Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4636174Z 
2025-10-10T00:50:16.4636301Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4636674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4637006Z     return mod(*inputs)
2025-10-10T00:50:16.4637310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4637697Z     x = self.forward_features(x)
2025-10-10T00:50:16.4638056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4638431Z     x = self.stages(x)
2025-10-10T00:50:16.4638731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4639071Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4639211Z 
2025-10-10T00:50:16.4639355Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4639731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4640089Z     return mod(*inputs)
2025-10-10T00:50:16.4640394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4640735Z     x = self.forward_features(x)
2025-10-10T00:50:16.4641091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4641463Z     x = self.stages(x)
2025-10-10T00:50:16.4641774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4642129Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4642490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4642964Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4643213Z 
2025-10-10T00:50:16.4643314Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4643566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4643951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4644296Z     return mod(*inputs)
2025-10-10T00:50:16.4644626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4644978Z     x = self.forward_features(x)
2025-10-10T00:50:16.4645343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4645694Z     x = self.stages(x)
2025-10-10T00:50:16.4645995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4646341Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4646720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4647114Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4647254Z 
2025-10-10T00:50:16.4647361Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4647724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4648049Z     return mod(*inputs)
2025-10-10T00:50:16.4648357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4648707Z     x = self.forward_features(x)
2025-10-10T00:50:16.4649089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4649442Z     x = self.stages(x)
2025-10-10T00:50:16.4649735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4650080Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4650444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4650798Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4650909Z 
2025-10-10T00:50:16.4651023Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4651376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4651753Z     return mod(*inputs)
2025-10-10T00:50:16.4652059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4652387Z     x = self.forward_features(x)
2025-10-10T00:50:16.4652726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4653098Z     x = self.stages(x)
2025-10-10T00:50:16.4653454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4653814Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4654201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4654567Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4654720Z 
2025-10-10T00:50:16.4654801Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4655018Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4655256Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4655600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4655922Z     return mod(*inputs)
2025-10-10T00:50:16.4656222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4656550Z     x = self.forward_features(x)
2025-10-10T00:50:16.4656896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4657245Z     x = self.stages(x)
2025-10-10T00:50:16.4657546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4657903Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4658288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4658651Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4658777Z 
2025-10-10T00:50:16.4658887Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4659268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4659591Z     return mod(*inputs)
2025-10-10T00:50:16.4659890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4660225Z     x = self.forward_features(x)
2025-10-10T00:50:16.4660570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4660926Z     x = self.stages(x)
2025-10-10T00:50:16.4661245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4661599Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4661983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4662465Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4662849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4663269Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4663455Z 
2025-10-10T00:50:16.4663571Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4663982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4664313Z     return mod(*inputs)
2025-10-10T00:50:16.4664620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4664944Z     x = self.forward_features(x)
2025-10-10T00:50:16.4665295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4665646Z     x = self.stages(x)
2025-10-10T00:50:16.4665987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4666305Z     out = self.conv1(out)
2025-10-10T00:50:16.4666628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4667070Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4667305Z 
2025-10-10T00:50:16.4667463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4667829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4668143Z     return mod(*inputs)
2025-10-10T00:50:16.4668444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4668772Z     x = self.forward_features(x)
2025-10-10T00:50:16.4669114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4669462Z     x = self.stages(x)
2025-10-10T00:50:16.4669754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4670084Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4670214Z 
2025-10-10T00:50:16.4670325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4670687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4671009Z     return mod(*inputs)
2025-10-10T00:50:16.4671312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4671640Z     x = self.forward_features(x)
2025-10-10T00:50:16.4672010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4672375Z     x = self.stages(x)
2025-10-10T00:50:16.4672684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4673039Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4673397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4673866Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4674100Z 
2025-10-10T00:50:16.4674209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4674576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4674903Z     return mod(*inputs)
2025-10-10T00:50:16.4675207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4675534Z     x = self.forward_features(x)
2025-10-10T00:50:16.4675872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4676220Z     x = self.stages(x)
2025-10-10T00:50:16.4676520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4676854Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4676988Z 
2025-10-10T00:50:16.4677093Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4677455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4677779Z     return mod(*inputs)
2025-10-10T00:50:16.4678082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4678408Z     x = self.forward_features(x)
2025-10-10T00:50:16.4678747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4679092Z     x = self.stages(x)
2025-10-10T00:50:16.4679394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4679753Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4680080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4680512Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4680746Z 
2025-10-10T00:50:16.4680899Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4681255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4681573Z     return mod(*inputs)
2025-10-10T00:50:16.4681872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4682204Z     x = self.forward_features(x)
2025-10-10T00:50:16.4682553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4682908Z     x = self.stages(x)
2025-10-10T00:50:16.4683201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4683536Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4683673Z 
2025-10-10T00:50:16.4683777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4684147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4684495Z     return mod(*inputs)
2025-10-10T00:50:16.4684815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4685186Z     x = self.forward_features(x)
2025-10-10T00:50:16.4685565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4685956Z     x = self.stages(x)
2025-10-10T00:50:16.4686285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4686657Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4686989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4687420Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4687652Z 
2025-10-10T00:50:16.4687743Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4687979Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4688346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4688673Z     return mod(*inputs)
2025-10-10T00:50:16.4688981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4689312Z     x = self.forward_features(x)
2025-10-10T00:50:16.4689656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4690011Z     x = self.stages(x)
2025-10-10T00:50:16.4690312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4690660Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4691022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4691389Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4691529Z 
2025-10-10T00:50:16.4691636Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4691996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4692326Z     return mod(*inputs)
2025-10-10T00:50:16.4692624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4692954Z     x = self.forward_features(x)
2025-10-10T00:50:16.4693345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4693741Z     x = self.stages(x)
2025-10-10T00:50:16.4694077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4694446Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4694874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4695246Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4695364Z 
2025-10-10T00:50:16.4695493Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4695840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4696172Z     return mod(*inputs)
2025-10-10T00:50:16.4696492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4696840Z     x = self.forward_features(x)
2025-10-10T00:50:16.4697197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4697562Z     x = self.stages(x)
2025-10-10T00:50:16.4697880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4698240Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4698623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4698992Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4699134Z 
2025-10-10T00:50:16.4699220Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4699451Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4699707Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4700085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4700434Z     return mod(*inputs)
2025-10-10T00:50:16.4700757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4701106Z     x = self.forward_features(x)
2025-10-10T00:50:16.4701467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4701837Z     x = self.stages(x)
2025-10-10T00:50:16.4702162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4702641Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4703053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4703438Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4703573Z 
2025-10-10T00:50:16.4703699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4704092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4704452Z     return mod(*inputs)
2025-10-10T00:50:16.4704775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4705129Z     x = self.forward_features(x)
2025-10-10T00:50:16.4705504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4705883Z     x = self.stages(x)
2025-10-10T00:50:16.4706206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4706563Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4706943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4707307Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4707644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4708082Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4708246Z 
2025-10-10T00:50:16.4708352Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4708720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4709052Z     return mod(*inputs)
2025-10-10T00:50:16.4709397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4709724Z     x = self.forward_features(x)
2025-10-10T00:50:16.4710077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4710431Z     x = self.stages(x)
2025-10-10T00:50:16.4710733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4711068Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4711209Z 
2025-10-10T00:50:16.4711322Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4711705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4712052Z     return mod(*inputs)
2025-10-10T00:50:16.4712375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4712713Z     x = self.forward_features(x)
2025-10-10T00:50:16.4713271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4713651Z     x = self.stages(x)
2025-10-10T00:50:16.4713952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4714280Z     out = self.conv1(out)
2025-10-10T00:50:16.4714596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4715047Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4715290Z 
2025-10-10T00:50:16.4715397Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4715760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4716078Z     return mod(*inputs)
2025-10-10T00:50:16.4716384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4716715Z     x = self.forward_features(x)
2025-10-10T00:50:16.4717061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4717408Z     x = self.stages(x)
2025-10-10T00:50:16.4717701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4718033Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4718174Z 
2025-10-10T00:50:16.4718279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4718638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4718959Z     return mod(*inputs)
2025-10-10T00:50:16.4719264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4719592Z     x = self.forward_features(x)
2025-10-10T00:50:16.4719970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4720320Z     x = self.stages(x)
2025-10-10T00:50:16.4720612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4720945Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4721284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4721816Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4722051Z 
2025-10-10T00:50:16.4722158Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4722549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4722899Z     return mod(*inputs)
2025-10-10T00:50:16.4723284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4723645Z     x = self.forward_features(x)
2025-10-10T00:50:16.4724009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4724380Z     x = self.stages(x)
2025-10-10T00:50:16.4724683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4725020Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4725153Z 
2025-10-10T00:50:16.4725263Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4725623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4725953Z     return mod(*inputs)
2025-10-10T00:50:16.4726259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4726660Z     x = self.forward_features(x)
2025-10-10T00:50:16.4726995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4727340Z     x = self.stages(x)
2025-10-10T00:50:16.4727632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4727958Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4728284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4728726Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4728969Z 
2025-10-10T00:50:16.4729075Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4729440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4729764Z     return mod(*inputs)
2025-10-10T00:50:16.4730063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4730401Z     x = self.forward_features(x)
2025-10-10T00:50:16.4730748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4731099Z     x = self.stages(x)
2025-10-10T00:50:16.4731398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4731720Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4731856Z 
2025-10-10T00:50:16.4731963Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4732351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4732706Z     return mod(*inputs)
2025-10-10T00:50:16.4733033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4733398Z     x = self.forward_features(x)
2025-10-10T00:50:16.4733770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4734138Z     x = self.stages(x)
2025-10-10T00:50:16.4734457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4734808Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4735015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4735188Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4735228Z 
2025-10-10T00:50:16.4735321Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4735423Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4735616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4735692Z     return mod(*inputs)
2025-10-10T00:50:16.4735914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4735997Z     x = self.forward_features(x)
2025-10-10T00:50:16.4736211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4736277Z     x = self.stages(x)
2025-10-10T00:50:16.4736472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4736561Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4736787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4736867Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4736870Z 
2025-10-10T00:50:16.4736976Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4737178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4737246Z     return mod(*inputs)
2025-10-10T00:50:16.4737447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4737519Z     x = self.forward_features(x)
2025-10-10T00:50:16.4737745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4737812Z     x = self.stages(x)
2025-10-10T00:50:16.4738003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4738103Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4738317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4738393Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4738397Z 
2025-10-10T00:50:16.4738500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4738698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4738774Z     return mod(*inputs)
2025-10-10T00:50:16.4738966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4739046Z     x = self.forward_features(x)
2025-10-10T00:50:16.4739264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4739330Z     x = self.stages(x)
2025-10-10T00:50:16.4739529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4739620Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4739843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4739920Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4739923Z 
2025-10-10T00:50:16.4740007Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4740099Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4740202Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4740406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4740474Z     return mod(*inputs)
2025-10-10T00:50:16.4740667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4740747Z     x = self.forward_features(x)
2025-10-10T00:50:16.4740965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4741082Z     x = self.stages(x)
2025-10-10T00:50:16.4741277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4741377Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4741608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4741715Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4741720Z 
2025-10-10T00:50:16.4741843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4742052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4742131Z     return mod(*inputs)
2025-10-10T00:50:16.4742337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4742503Z     x = self.forward_features(x)
2025-10-10T00:50:16.4742764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4742839Z     x = self.stages(x)
2025-10-10T00:50:16.4743066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4743163Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4743412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4743501Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4743736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4743865Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4743869Z 
2025-10-10T00:50:16.4743984Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4744209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4744286Z     return mod(*inputs)
2025-10-10T00:50:16.4744505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4744587Z     x = self.forward_features(x)
2025-10-10T00:50:16.4744808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4744883Z     x = self.stages(x)
2025-10-10T00:50:16.4745079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4745151Z     out = self.conv1(out)
2025-10-10T00:50:16.4745363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4745543Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4745547Z 
2025-10-10T00:50:16.4745660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4745861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4745931Z     return mod(*inputs)
2025-10-10T00:50:16.4746131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4746204Z     x = self.forward_features(x)
2025-10-10T00:50:16.4746431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4746496Z     x = self.stages(x)
2025-10-10T00:50:16.4746688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4746776Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4746780Z 
2025-10-10T00:50:16.4746883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4747086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4747194Z     return mod(*inputs)
2025-10-10T00:50:16.4747402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4747477Z     x = self.forward_features(x)
2025-10-10T00:50:16.4747707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4747786Z     x = self.stages(x)
2025-10-10T00:50:16.4748016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4748105Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4748327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4748520Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4748524Z 
2025-10-10T00:50:16.4748644Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4748859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4748942Z     return mod(*inputs)
2025-10-10T00:50:16.4749160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4749234Z     x = self.forward_features(x)
2025-10-10T00:50:16.4749470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4749538Z     x = self.stages(x)
2025-10-10T00:50:16.4749744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4749824Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4749828Z 
2025-10-10T00:50:16.4749940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4750137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4750208Z     return mod(*inputs)
2025-10-10T00:50:16.4750412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4750484Z     x = self.forward_features(x)
2025-10-10T00:50:16.4750714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4750781Z     x = self.stages(x)
2025-10-10T00:50:16.4750978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4751066Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4751270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4751452Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4751455Z 
2025-10-10T00:50:16.4751558Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4751769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4751849Z     return mod(*inputs)
2025-10-10T00:50:16.4752055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4752138Z     x = self.forward_features(x)
2025-10-10T00:50:16.4752373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4752451Z     x = self.stages(x)
2025-10-10T00:50:16.4752653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4752734Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4752738Z 
2025-10-10T00:50:16.4752856Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4753072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4753197Z     return mod(*inputs)
2025-10-10T00:50:16.4753410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4753490Z     x = self.forward_features(x)
2025-10-10T00:50:16.4753734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4753801Z     x = self.stages(x)
2025-10-10T00:50:16.4754064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4754143Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4754347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4754533Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4754536Z 
2025-10-10T00:50:16.4754620Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4754736Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4754932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4755001Z     return mod(*inputs)
2025-10-10T00:50:16.4755199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4755273Z     x = self.forward_features(x)
2025-10-10T00:50:16.4755504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4755570Z     x = self.stages(x)
2025-10-10T00:50:16.4755768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4755855Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4756073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4756161Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4756168Z 
2025-10-10T00:50:16.4756272Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4756477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4756545Z     return mod(*inputs)
2025-10-10T00:50:16.4756743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4756831Z     x = self.forward_features(x)
2025-10-10T00:50:16.4757064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4757142Z     x = self.stages(x)
2025-10-10T00:50:16.4757356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4757444Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4757671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4757746Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4757749Z 
2025-10-10T00:50:16.4757859Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4758066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4758137Z     return mod(*inputs)
2025-10-10T00:50:16.4758354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4758432Z     x = self.forward_features(x)
2025-10-10T00:50:16.4758678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4758745Z     x = self.stages(x)
2025-10-10T00:50:16.4758942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4759028Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4759243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4759361Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4759365Z 
2025-10-10T00:50:16.4759447Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4759535Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4759639Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4759875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4759951Z     return mod(*inputs)
2025-10-10T00:50:16.4760140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4760218Z     x = self.forward_features(x)
2025-10-10T00:50:16.4760435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4760502Z     x = self.stages(x)
2025-10-10T00:50:16.4760704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4760792Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4761015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4761084Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4761087Z 
2025-10-10T00:50:16.4761189Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4761398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4761465Z     return mod(*inputs)
2025-10-10T00:50:16.4761669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4761746Z     x = self.forward_features(x)
2025-10-10T00:50:16.4761986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4762061Z     x = self.stages(x)
2025-10-10T00:50:16.4762265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4762364Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4762597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4762684Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4762922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4763042Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4763046Z 
2025-10-10T00:50:16.4763167Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4763378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4763457Z     return mod(*inputs)
2025-10-10T00:50:16.4763662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4763741Z     x = self.forward_features(x)
2025-10-10T00:50:16.4763986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4764059Z     x = self.stages(x)
2025-10-10T00:50:16.4764273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4764355Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4764359Z 
2025-10-10T00:50:16.4764483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4764692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4764763Z     return mod(*inputs)
2025-10-10T00:50:16.4764973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4765050Z     x = self.forward_features(x)
2025-10-10T00:50:16.4765326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4765398Z     x = self.stages(x)
2025-10-10T00:50:16.4765600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4765682Z     out = self.conv1(out)
2025-10-10T00:50:16.4765895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4766117Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4766122Z 
2025-10-10T00:50:16.4766233Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4766440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4766519Z     return mod(*inputs)
2025-10-10T00:50:16.4766723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4766810Z     x = self.forward_features(x)
2025-10-10T00:50:16.4767049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4767120Z     x = self.stages(x)
2025-10-10T00:50:16.4767328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4767409Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4767416Z 
2025-10-10T00:50:16.4767533Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4767739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4767818Z     return mod(*inputs)
2025-10-10T00:50:16.4768022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4768099Z     x = self.forward_features(x)
2025-10-10T00:50:16.4768338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4768413Z     x = self.stages(x)
2025-10-10T00:50:16.4768623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4768703Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4768918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4769112Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4769115Z 
2025-10-10T00:50:16.4769224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4769436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4769507Z     return mod(*inputs)
2025-10-10T00:50:16.4769711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4769796Z     x = self.forward_features(x)
2025-10-10T00:50:16.4770026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4770103Z     x = self.stages(x)
2025-10-10T00:50:16.4770306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4770395Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4770399Z 
2025-10-10T00:50:16.4770509Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4770714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4770791Z     return mod(*inputs)
2025-10-10T00:50:16.4770999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4771081Z     x = self.forward_features(x)
2025-10-10T00:50:16.4771312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4771420Z     x = self.stages(x)
2025-10-10T00:50:16.4771639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4771721Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4771941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4772170Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4772175Z 
2025-10-10T00:50:16.4772284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4772498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4772567Z     return mod(*inputs)
2025-10-10T00:50:16.4772776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4772856Z     x = self.forward_features(x)
2025-10-10T00:50:16.4773098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4773169Z     x = self.stages(x)
2025-10-10T00:50:16.4773369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4773457Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4773461Z 
2025-10-10T00:50:16.4773573Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4773784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4773858Z     return mod(*inputs)
2025-10-10T00:50:16.4774059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4774142Z     x = self.forward_features(x)
2025-10-10T00:50:16.4774373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4774453Z     x = self.stages(x)
2025-10-10T00:50:16.4774656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4774737Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4774958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4775145Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4775149Z 
2025-10-10T00:50:16.4775244Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4775353Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4775558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4775638Z     return mod(*inputs)
2025-10-10T00:50:16.4775846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4775936Z     x = self.forward_features(x)
2025-10-10T00:50:16.4776176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4776256Z     x = self.stages(x)
2025-10-10T00:50:16.4776464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4776563Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4776808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4776893Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4776897Z 
2025-10-10T00:50:16.4777015Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4777227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4777300Z     return mod(*inputs)
2025-10-10T00:50:16.4777557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4777635Z     x = self.forward_features(x)
2025-10-10T00:50:16.4777881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4777954Z     x = self.stages(x)
2025-10-10T00:50:16.4778197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4778302Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4778539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4778621Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4778625Z 
2025-10-10T00:50:16.4778739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4778962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4779039Z     return mod(*inputs)
2025-10-10T00:50:16.4779250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4779337Z     x = self.forward_features(x)
2025-10-10T00:50:16.4779579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4779659Z     x = self.stages(x)
2025-10-10T00:50:16.4779875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4779968Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4780224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4780305Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4780309Z 
2025-10-10T00:50:16.4780402Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4780487Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4780600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4780823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4780895Z     return mod(*inputs)
2025-10-10T00:50:16.4781119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4781198Z     x = self.forward_features(x)
2025-10-10T00:50:16.4781444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4781526Z     x = self.stages(x)
2025-10-10T00:50:16.4781741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4781840Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4782081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4782160Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4782172Z 
2025-10-10T00:50:16.4782283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4782601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4782690Z     return mod(*inputs)
2025-10-10T00:50:16.4782910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4783002Z     x = self.forward_features(x)
2025-10-10T00:50:16.4783241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4783315Z     x = self.stages(x)
2025-10-10T00:50:16.4783541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4783634Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4783890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4784009Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4784240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4784366Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4784371Z 
2025-10-10T00:50:16.4784481Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4784736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4784810Z     return mod(*inputs)
2025-10-10T00:50:16.4785018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4785103Z     x = self.forward_features(x)
2025-10-10T00:50:16.4785335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4785412Z     x = self.stages(x)
2025-10-10T00:50:16.4785619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4785693Z     out = self.conv1(out)
2025-10-10T00:50:16.4785931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4786126Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4786130Z 
2025-10-10T00:50:16.4786255Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4786470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4786553Z     return mod(*inputs)
2025-10-10T00:50:16.4786765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4786843Z     x = self.forward_features(x)
2025-10-10T00:50:16.4787089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4787176Z     x = self.stages(x)
2025-10-10T00:50:16.4787390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4787471Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4787475Z 
2025-10-10T00:50:16.4787584Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4787808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4787881Z     return mod(*inputs)
2025-10-10T00:50:16.4788099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4788178Z     x = self.forward_features(x)
2025-10-10T00:50:16.4788419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4788501Z     x = self.stages(x)
2025-10-10T00:50:16.4788715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4788807Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4789042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4789240Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4789244Z 
2025-10-10T00:50:16.4789363Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4789577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4789669Z     return mod(*inputs)
2025-10-10T00:50:16.4789876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4789960Z     x = self.forward_features(x)
2025-10-10T00:50:16.4790192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4790303Z     x = self.stages(x)
2025-10-10T00:50:16.4790520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4790606Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4790610Z 
2025-10-10T00:50:16.4790728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4790971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4791045Z     return mod(*inputs)
2025-10-10T00:50:16.4791258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4791336Z     x = self.forward_features(x)
2025-10-10T00:50:16.4791576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4791649Z     x = self.stages(x)
2025-10-10T00:50:16.4791875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4791966Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4792193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4792393Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4792397Z 
2025-10-10T00:50:16.4792513Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4792732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4792806Z     return mod(*inputs)
2025-10-10T00:50:16.4793026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4793116Z     x = self.forward_features(x)
2025-10-10T00:50:16.4793355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4793443Z     x = self.stages(x)
2025-10-10T00:50:16.4793648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4793731Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4793735Z 
2025-10-10T00:50:16.4793854Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4794072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4794153Z     return mod(*inputs)
2025-10-10T00:50:16.4794360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4794440Z     x = self.forward_features(x)
2025-10-10T00:50:16.4794687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4794760Z     x = self.stages(x)
2025-10-10T00:50:16.4794978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4795063Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4795290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4795478Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4795482Z 
2025-10-10T00:50:16.4795573Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4795700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4795913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4795993Z     return mod(*inputs)
2025-10-10T00:50:16.4796202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4796282Z     x = self.forward_features(x)
2025-10-10T00:50:16.4796525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4796641Z     x = self.stages(x)
2025-10-10T00:50:16.4796862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4796956Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4797200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4797337Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4797341Z 
2025-10-10T00:50:16.4797454Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4797674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4797746Z     return mod(*inputs)
2025-10-10T00:50:16.4797960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4798039Z     x = self.forward_features(x)
2025-10-10T00:50:16.4798279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4798358Z     x = self.stages(x)
2025-10-10T00:50:16.4798568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4798666Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4798904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4798980Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4798984Z 
2025-10-10T00:50:16.4799105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4799314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4799392Z     return mod(*inputs)
2025-10-10T00:50:16.4799601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4799683Z     x = self.forward_features(x)
2025-10-10T00:50:16.4799930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4800002Z     x = self.stages(x)
2025-10-10T00:50:16.4800216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4800310Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4800550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4800637Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4800642Z 
2025-10-10T00:50:16.4800729Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4800822Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4800933Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4801157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4801230Z     return mod(*inputs)
2025-10-10T00:50:16.4801437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4801520Z     x = self.forward_features(x)
2025-10-10T00:50:16.4801751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4801830Z     x = self.stages(x)
2025-10-10T00:50:16.4802045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4802137Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4802381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4802455Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4802459Z 
2025-10-10T00:50:16.4802574Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4802821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4802893Z     return mod(*inputs)
2025-10-10T00:50:16.4803108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4803185Z     x = self.forward_features(x)
2025-10-10T00:50:16.4803426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4803528Z     x = self.stages(x)
2025-10-10T00:50:16.4803734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4803833Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4804060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4804146Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4804377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4804507Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4804512Z 
2025-10-10T00:50:16.4804624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4804839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4804922Z     return mod(*inputs)
2025-10-10T00:50:16.4805138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4805225Z     x = self.forward_features(x)
2025-10-10T00:50:16.4805461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4805533Z     x = self.stages(x)
2025-10-10T00:50:16.4805749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4805836Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4806054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4806138Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4806142Z 
2025-10-10T00:50:16.4806263Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4806476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4806548Z     return mod(*inputs)
2025-10-10T00:50:16.4806756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4806831Z     x = self.forward_features(x)
2025-10-10T00:50:16.4807060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4807139Z     x = self.stages(x)
2025-10-10T00:50:16.4807341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 183, in forward
2025-10-10T00:50:16.4807434Z     shortcut = self.downsample(out)
2025-10-10T00:50:16.4807636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 101, in forward
2025-10-10T00:50:16.4807725Z     return self.conv(self.pool(x))
2025-10-10T00:50:16.4807936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4808125Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4808129Z 
2025-10-10T00:50:16.4808250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4808459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4808537Z     return mod(*inputs)
2025-10-10T00:50:16.4808739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4808815Z     x = self.forward_features(x)
2025-10-10T00:50:16.4809089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4809159Z     x = self.stages(x)
2025-10-10T00:50:16.4809368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 178, in forward
2025-10-10T00:50:16.4809445Z     out = self.act1(x) * self.beta
2025-10-10T00:50:16.4809449Z 
2025-10-10T00:50:16.4809601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4809820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4809892Z     return mod(*inputs)
2025-10-10T00:50:16.4810102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4810181Z     x = self.forward_features(x)
2025-10-10T00:50:16.4810421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4810495Z     x = self.stages(x)
2025-10-10T00:50:16.4810697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4810779Z     out = self.conv1(out)
2025-10-10T00:50:16.4810995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4811188Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4811195Z 
2025-10-10T00:50:16.4811306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4811517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4811595Z     return mod(*inputs)
2025-10-10T00:50:16.4811800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4811884Z     x = self.forward_features(x)
2025-10-10T00:50:16.4812126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4812199Z     x = self.stages(x)
2025-10-10T00:50:16.4812417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4812499Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4812503Z 
2025-10-10T00:50:16.4812623Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4812983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4813062Z     return mod(*inputs)
2025-10-10T00:50:16.4813285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4813367Z     x = self.forward_features(x)
2025-10-10T00:50:16.4813618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4813695Z     x = self.stages(x)
2025-10-10T00:50:16.4813921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4814003Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4814220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4814416Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4814422Z 
2025-10-10T00:50:16.4814535Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4814752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4814825Z     return mod(*inputs)
2025-10-10T00:50:16.4815028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4815114Z     x = self.forward_features(x)
2025-10-10T00:50:16.4815346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4815499Z     x = self.stages(x)
2025-10-10T00:50:16.4815703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4815787Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4815799Z 
2025-10-10T00:50:16.4815909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4816166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4816251Z     return mod(*inputs)
2025-10-10T00:50:16.4816455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4816542Z     x = self.forward_features(x)
2025-10-10T00:50:16.4816773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4816845Z     x = self.stages(x)
2025-10-10T00:50:16.4817063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4817146Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4817367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4817553Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4817557Z 
2025-10-10T00:50:16.4817673Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4817897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4817971Z     return mod(*inputs)
2025-10-10T00:50:16.4818189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4818267Z     x = self.forward_features(x)
2025-10-10T00:50:16.4818506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4818588Z     x = self.stages(x)
2025-10-10T00:50:16.4818796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4818888Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4818892Z 
2025-10-10T00:50:16.4819004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4819228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4819303Z     return mod(*inputs)
2025-10-10T00:50:16.4819512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4819599Z     x = self.forward_features(x)
2025-10-10T00:50:16.4819836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4819917Z     x = self.stages(x)
2025-10-10T00:50:16.4820131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4820214Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4820440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4820627Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4820631Z 
2025-10-10T00:50:16.4820731Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4820847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4821061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4821141Z     return mod(*inputs)
2025-10-10T00:50:16.4821351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4821437Z     x = self.forward_features(x)
2025-10-10T00:50:16.4821726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4821799Z     x = self.stages(x)
2025-10-10T00:50:16.4822015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4822111Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4822465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4822561Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4822566Z 
2025-10-10T00:50:16.4822689Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4822904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4822978Z     return mod(*inputs)
2025-10-10T00:50:16.4823197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4823279Z     x = self.forward_features(x)
2025-10-10T00:50:16.4823527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4823599Z     x = self.stages(x)
2025-10-10T00:50:16.4823809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4823913Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4824153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4824237Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4824241Z 
2025-10-10T00:50:16.4824354Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4824569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4824652Z     return mod(*inputs)
2025-10-10T00:50:16.4824869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4824958Z     x = self.forward_features(x)
2025-10-10T00:50:16.4825204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4825278Z     x = self.stages(x)
2025-10-10T00:50:16.4825503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4825600Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4825847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4825929Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4825933Z 
2025-10-10T00:50:16.4826028Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4826114Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4826225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4826448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4826521Z     return mod(*inputs)
2025-10-10T00:50:16.4826745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4826822Z     x = self.forward_features(x)
2025-10-10T00:50:16.4827060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4827145Z     x = self.stages(x)
2025-10-10T00:50:16.4827353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4827453Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4827698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4827771Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4827775Z 
2025-10-10T00:50:16.4827896Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4828157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4828236Z     return mod(*inputs)
2025-10-10T00:50:16.4828452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4828531Z     x = self.forward_features(x)
2025-10-10T00:50:16.4828816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4828891Z     x = self.stages(x)
2025-10-10T00:50:16.4829111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4829203Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4829458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4829538Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4829772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4829898Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4829902Z 
2025-10-10T00:50:16.4830016Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4830240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4830317Z     return mod(*inputs)
2025-10-10T00:50:16.4830532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4830619Z     x = self.forward_features(x)
2025-10-10T00:50:16.4830859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4830939Z     x = self.stages(x)
2025-10-10T00:50:16.4831163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 186, in forward
2025-10-10T00:50:16.4831243Z     out = self.conv1(out)
2025-10-10T00:50:16.4831478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4831674Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4831678Z 
2025-10-10T00:50:16.4831799Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4832022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4832100Z     return mod(*inputs)
2025-10-10T00:50:16.4832308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4832384Z     x = self.forward_features(x)
2025-10-10T00:50:16.4832632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4832703Z     x = self.stages(x)
2025-10-10T00:50:16.4832927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4833010Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4833014Z 
2025-10-10T00:50:16.4833128Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4833352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4833424Z     return mod(*inputs)
2025-10-10T00:50:16.4833655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4833735Z     x = self.forward_features(x)
2025-10-10T00:50:16.4833983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4834064Z     x = self.stages(x)
2025-10-10T00:50:16.4834271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 187, in forward
2025-10-10T00:50:16.4834395Z     out = self.conv2(self.act2(out))
2025-10-10T00:50:16.4834615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4834800Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4834812Z 
2025-10-10T00:50:16.4834923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4835169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4835250Z     return mod(*inputs)
2025-10-10T00:50:16.4835455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4835538Z     x = self.forward_features(x)
2025-10-10T00:50:16.4835768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4835840Z     x = self.stages(x)
2025-10-10T00:50:16.4836052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4836135Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4836138Z 
2025-10-10T00:50:16.4836255Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4836460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4836530Z     return mod(*inputs)
2025-10-10T00:50:16.4836746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4836826Z     x = self.forward_features(x)
2025-10-10T00:50:16.4837064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4837133Z     x = self.stages(x)
2025-10-10T00:50:16.4837335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 189, in forward
2025-10-10T00:50:16.4837429Z     out = self.conv2b(self.act2b(out))
2025-10-10T00:50:16.4837640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4837828Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4837832Z 
2025-10-10T00:50:16.4837940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4838156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4838228Z     return mod(*inputs)
2025-10-10T00:50:16.4838429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4838513Z     x = self.forward_features(x)
2025-10-10T00:50:16.4838743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4838821Z     x = self.stages(x)
2025-10-10T00:50:16.4839024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4839108Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4839111Z 
2025-10-10T00:50:16.4839230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4839435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4839512Z     return mod(*inputs)
2025-10-10T00:50:16.4839716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4839792Z     x = self.forward_features(x)
2025-10-10T00:50:16.4840029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4840098Z     x = self.stages(x)
2025-10-10T00:50:16.4840307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 192, in forward
2025-10-10T00:50:16.4840385Z     out = self.conv3(self.act3(out))
2025-10-10T00:50:16.4840640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4840831Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4840835Z 
2025-10-10T00:50:16.4840921Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4841037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4841276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4841358Z     return mod(*inputs)
2025-10-10T00:50:16.4841562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4841638Z     x = self.forward_features(x)
2025-10-10T00:50:16.4841875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4841946Z     x = self.stages(x)
2025-10-10T00:50:16.4842158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4842250Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4842479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 42, in forward
2025-10-10T00:50:16.4842570Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:50:16.4842574Z 
2025-10-10T00:50:16.4842685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4842900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4842972Z     return mod(*inputs)
2025-10-10T00:50:16.4843174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4843258Z     x = self.forward_features(x)
2025-10-10T00:50:16.4843489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4843569Z     x = self.stages(x)
2025-10-10T00:50:16.4843770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4843869Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4844100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 46, in forward
2025-10-10T00:50:16.4844173Z     x_se = self.fc1(x_se)
2025-10-10T00:50:16.4844180Z 
2025-10-10T00:50:16.4844299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4844507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4844589Z     return mod(*inputs)
2025-10-10T00:50:16.4844798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4844875Z     x = self.forward_features(x)
2025-10-10T00:50:16.4845121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4845205Z     x = self.stages(x)
2025-10-10T00:50:16.4845418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4845509Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4845738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 47, in forward
2025-10-10T00:50:16.4845834Z     x_se = self.act(self.bn(x_se))
2025-10-10T00:50:16.4845838Z 
2025-10-10T00:50:16.4845946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4846160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4846231Z     return mod(*inputs)
2025-10-10T00:50:16.4846437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4846569Z     x = self.forward_features(x)
2025-10-10T00:50:16.4846804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4846884Z     x = self.stages(x)
2025-10-10T00:50:16.4847092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4847190Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4847458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 48, in forward
2025-10-10T00:50:16.4847534Z     x_se = self.fc2(x_se)
2025-10-10T00:50:16.4847537Z 
2025-10-10T00:50:16.4847657Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4847868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4847948Z     return mod(*inputs)
2025-10-10T00:50:16.4848171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4848251Z     x = self.forward_features(x)
2025-10-10T00:50:16.4848500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4848573Z     x = self.stages(x)
2025-10-10T00:50:16.4848797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 194, in forward
2025-10-10T00:50:16.4848889Z     out = self.attn_gain * self.attn_last(out)
2025-10-10T00:50:16.4849137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/squeeze_excite.py", line 49, in forward
2025-10-10T00:50:16.4849228Z     return x * self.gate(x_se)
2025-10-10T00:50:16.4849467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/activations.py", line 57, in forward
2025-10-10T00:50:16.4849597Z     return x.sigmoid_() if self.inplace else x.sigmoid()
2025-10-10T00:50:16.4849601Z 
2025-10-10T00:50:16.4849717Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4849945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4850018Z     return mod(*inputs)
2025-10-10T00:50:16.4850238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4850325Z     x = self.forward_features(x)
2025-10-10T00:50:16.4850572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 444, in forward_features
2025-10-10T00:50:16.4850652Z     x = self.stages(x)
2025-10-10T00:50:16.4850860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 199, in forward
2025-10-10T00:50:16.4850948Z     out = out * self.alpha + shortcut
2025-10-10T00:50:16.4850952Z 
2025-10-10T00:50:16.4851074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4851289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4851376Z     return mod(*inputs)
2025-10-10T00:50:16.4851636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 453, in forward
2025-10-10T00:50:16.4851715Z     x = self.forward_features(x)
2025-10-10T00:50:16.4851964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 445, in forward_features
2025-10-10T00:50:16.4852041Z     x = self.final_conv(x)
2025-10-10T00:50:16.4852279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/std_conv.py", line 102, in forward
2025-10-10T00:50:16.4852472Z     return F.conv2d(x, weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
2025-10-10T00:50:16.4852475Z 
2025-10-10T00:50:16.4852573Z cudagraph partition due to non gpu ops
2025-10-10T00:50:16.4852686Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4852899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4853054Z     return mod(*inputs)
2025-10-10T00:50:16.4853281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 454, in forward
2025-10-10T00:50:16.4853369Z     x = self.forward_head(x)
2025-10-10T00:50:16.4853600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 450, in forward_head
2025-10-10T00:50:16.4853761Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:50:16.4854031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 128, in forward
2025-10-10T00:50:16.4854115Z     x = self.global_pool(x)
2025-10-10T00:50:16.4854390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:50:16.4854465Z     x = self.pool(x)
2025-10-10T00:50:16.4854469Z 
2025-10-10T00:50:16.4854580Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:16.4854809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:16.4854882Z     return mod(*inputs)
2025-10-10T00:50:16.4855109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 454, in forward
2025-10-10T00:50:16.4855189Z     x = self.forward_head(x)
2025-10-10T00:50:16.4855428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/nfnet.py", line 450, in forward_head
2025-10-10T00:50:16.4855606Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:50:16.4855838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 132, in forward
2025-10-10T00:50:16.4855917Z     x = self.fc(x)
2025-10-10T00:50:16.4855921Z 
2025-10-10T00:50:32.6737826Z Compilation time (from dynamo_timed): 31.445858895
2025-10-10T00:50:32.6738153Z pass
2025-10-10T00:50:32.6738473Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:32.6739393Z TIMING: _recursive_pre_grad_passes:0.00992 _recursive_joint_graph_passes:0.32352 _recursive_post_grad_passes:0.09934 async_compile.wait:2.96516 code_gen:15.33937 inductor_compile:19.0394 backend_compile:26.14441 gc:0.00076 entire_frame_compile:31.44586 total_wall_time:31.44586
2025-10-10T00:50:32.6740480Z STATS: call_* op count: 521 | FakeTensorMode.__torch_dispatch__:8972 | FakeTensor.__torch_dispatch__:5582 | attempt fast:102 | fast is_contiguous:102 | ProxyTorchDispatchMode.__torch_dispatch__:2644
2025-10-10T00:50:32.6741178Z Dynamo produced 1 graphs covering 521 ops with 0 graph breaks (0 unique)
2025-10-10T00:50:36.0661870Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:50:36.0663034Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:38.4819719Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:50:38.4821235Z   warnings.warn(
2025-10-10T00:50:38.4822827Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:50:38.4824569Z   warnings.warn(
2025-10-10T00:50:38.9514064Z 
2025-10-10T00:50:39.2897789Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:39.2898046Z 
2025-10-10T00:50:40.0737517Z model.safetensors:   0% 0.00/113M [00:00<?, ?B/s]
2025-10-10T00:50:40.0737771Z 
2025-10-10T00:50:40.1847446Z model.safetensors:   0% 12.8k/113M [00:00<1:55:20, 16.3kB/s]
2025-10-10T00:50:40.1847913Z 
2025-10-10T00:50:40.2242217Z model.safetensors:  51% 58.0M/113M [00:00<00:00, 88.0MB/s]  
2025-10-10T00:50:40.2242662Z model.safetensors: 100% 113M/113M [00:00<00:00, 121MB/s]  
2025-10-10T00:50:40.4133045Z 
2025-10-10T00:50:40.4133743Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:50:40.4156409Z cpu  eval  repvgg_a2                          
2025-10-10T00:50:41.0870077Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:41.2465010Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:41.5997245Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:55.4487356Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4487730Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4488007Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4488243Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4488481Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4488715Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4488943Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4489210Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4489449Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4489700Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4489930Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4490164Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4490395Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4490634Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4490855Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4491138Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4491377Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4491604Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4491829Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4498197Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4498504Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4499569Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4499949Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4500941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4501521Z     return mod(*inputs)
2025-10-10T00:50:55.4501976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4502880Z     x = self.forward_features(x)
2025-10-10T00:50:55.4503431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1421, in forward_features
2025-10-10T00:50:55.4503978Z     x = self.stem(x)
2025-10-10T00:50:55.4504383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4504915Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4505438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4505869Z     x = self.conv(x)
2025-10-10T00:50:55.4505995Z 
2025-10-10T00:50:55.4506185Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4506746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4507599Z     return mod(*inputs)
2025-10-10T00:50:55.4508104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4508548Z     x = self.forward_features(x)
2025-10-10T00:50:55.4509024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1421, in forward_features
2025-10-10T00:50:55.4509522Z     x = self.stem(x)
2025-10-10T00:50:55.4510006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4510569Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4511065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4511494Z     x = self.conv(x)
2025-10-10T00:50:55.4511610Z 
2025-10-10T00:50:55.4511794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4512296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4513041Z     return mod(*inputs)
2025-10-10T00:50:55.4513475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4513927Z     x = self.forward_features(x)
2025-10-10T00:50:55.4514439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4514884Z     x = self.stages(x)
2025-10-10T00:50:55.4515356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4515778Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4516308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4516743Z     x = self.conv(x)
2025-10-10T00:50:55.4516896Z 
2025-10-10T00:50:55.4517056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4517505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4517994Z     return mod(*inputs)
2025-10-10T00:50:55.4518415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4518894Z     x = self.forward_features(x)
2025-10-10T00:50:55.4519399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4519841Z     x = self.stages(x)
2025-10-10T00:50:55.4520322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4520737Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4521257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4521720Z     x = self.conv(x)
2025-10-10T00:50:55.4521867Z 
2025-10-10T00:50:55.4521996Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4522498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4522933Z     return mod(*inputs)
2025-10-10T00:50:55.4523403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4523811Z     x = self.forward_features(x)
2025-10-10T00:50:55.4524349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4524796Z     x = self.stages(x)
2025-10-10T00:50:55.4525666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4526038Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4526512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4526965Z     x = self.conv(x)
2025-10-10T00:50:55.4527092Z 
2025-10-10T00:50:55.4527275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4527660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4528111Z     return mod(*inputs)
2025-10-10T00:50:55.4528472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4528994Z     x = self.forward_features(x)
2025-10-10T00:50:55.4529369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4529800Z     x = self.stages(x)
2025-10-10T00:50:55.4530147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4530518Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4530896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4531353Z     x = self.conv(x)
2025-10-10T00:50:55.4531470Z 
2025-10-10T00:50:55.4531589Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4531997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4532370Z     return mod(*inputs)
2025-10-10T00:50:55.4532714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4533077Z     x = self.forward_features(x)
2025-10-10T00:50:55.4533550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4533919Z     x = self.stages(x)
2025-10-10T00:50:55.4534253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4534605Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4534981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4535336Z     x = self.conv(x)
2025-10-10T00:50:55.4535440Z 
2025-10-10T00:50:55.4535562Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4535954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4536302Z     return mod(*inputs)
2025-10-10T00:50:55.4536651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4537040Z     x = self.forward_features(x)
2025-10-10T00:50:55.4537489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4537872Z     x = self.stages(x)
2025-10-10T00:50:55.4538203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4538574Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4538951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4539325Z     x = self.conv(x)
2025-10-10T00:50:55.4539435Z 
2025-10-10T00:50:55.4539550Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4539945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4540305Z     return mod(*inputs)
2025-10-10T00:50:55.4540644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4541022Z     x = self.forward_features(x)
2025-10-10T00:50:55.4541408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4541792Z     x = self.stages(x)
2025-10-10T00:50:55.4542133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4542699Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4543084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4543458Z     x = self.conv(x)
2025-10-10T00:50:55.4543568Z 
2025-10-10T00:50:55.4543693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4544267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4544626Z     return mod(*inputs)
2025-10-10T00:50:55.4544973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4545337Z     x = self.forward_features(x)
2025-10-10T00:50:55.4545720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4546105Z     x = self.stages(x)
2025-10-10T00:50:55.4546438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4546810Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4547188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4547556Z     x = self.conv(x)
2025-10-10T00:50:55.4547667Z 
2025-10-10T00:50:55.4547784Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4548188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4548549Z     return mod(*inputs)
2025-10-10T00:50:55.4548890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4549255Z     x = self.forward_features(x)
2025-10-10T00:50:55.4549633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4550019Z     x = self.stages(x)
2025-10-10T00:50:55.4550355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4550730Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4551100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4551464Z     x = self.conv(x)
2025-10-10T00:50:55.4551580Z 
2025-10-10T00:50:55.4551699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4552095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4552448Z     return mod(*inputs)
2025-10-10T00:50:55.4552761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4553099Z     x = self.forward_features(x)
2025-10-10T00:50:55.4553449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4553803Z     x = self.stages(x)
2025-10-10T00:50:55.4554103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4554444Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4554793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4555125Z     x = self.conv(x)
2025-10-10T00:50:55.4555228Z 
2025-10-10T00:50:55.4555340Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4555698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4556023Z     return mod(*inputs)
2025-10-10T00:50:55.4556333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4556667Z     x = self.forward_features(x)
2025-10-10T00:50:55.4557082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4557475Z     x = self.stages(x)
2025-10-10T00:50:55.4557839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4558184Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4558577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4558908Z     x = self.conv(x)
2025-10-10T00:50:55.4559018Z 
2025-10-10T00:50:55.4559133Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4559522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4559879Z     return mod(*inputs)
2025-10-10T00:50:55.4560210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4560587Z     x = self.forward_features(x)
2025-10-10T00:50:55.4560963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4561337Z     x = self.stages(x)
2025-10-10T00:50:55.4561661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4562017Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4562367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4562726Z     x = self.conv(x)
2025-10-10T00:50:55.4562826Z 
2025-10-10T00:50:55.4562944Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4563300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4563631Z     return mod(*inputs)
2025-10-10T00:50:55.4563943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4564288Z     x = self.forward_features(x)
2025-10-10T00:50:55.4564640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4564988Z     x = self.stages(x)
2025-10-10T00:50:55.4565293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4565638Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4566014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4566360Z     x = self.conv(x)
2025-10-10T00:50:55.4566474Z 
2025-10-10T00:50:55.4566588Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4566976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4567330Z     return mod(*inputs)
2025-10-10T00:50:55.4567661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4567995Z     x = self.forward_features(x)
2025-10-10T00:50:55.4568351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4568701Z     x = self.stages(x)
2025-10-10T00:50:55.4569016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4569371Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4569740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4570092Z     x = self.conv(x)
2025-10-10T00:50:55.4570197Z 
2025-10-10T00:50:55.4570316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4570707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4571090Z     return mod(*inputs)
2025-10-10T00:50:55.4571421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4571784Z     x = self.forward_features(x)
2025-10-10T00:50:55.4572154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4572522Z     x = self.stages(x)
2025-10-10T00:50:55.4572892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4573264Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4573653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4574005Z     x = self.conv(x)
2025-10-10T00:50:55.4574113Z 
2025-10-10T00:50:55.4574230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4574627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4574992Z     return mod(*inputs)
2025-10-10T00:50:55.4575325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4575676Z     x = self.forward_features(x)
2025-10-10T00:50:55.4576051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4576437Z     x = self.stages(x)
2025-10-10T00:50:55.4576787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4577145Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4577503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4577856Z     x = self.conv(x)
2025-10-10T00:50:55.4577963Z 
2025-10-10T00:50:55.4578085Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4578484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4578831Z     return mod(*inputs)
2025-10-10T00:50:55.4579171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4579551Z     x = self.forward_features(x)
2025-10-10T00:50:55.4579931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4580326Z     x = self.stages(x)
2025-10-10T00:50:55.4580649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4581018Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4581399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4581777Z     x = self.conv(x)
2025-10-10T00:50:55.4581885Z 
2025-10-10T00:50:55.4582000Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4582530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4582937Z     return mod(*inputs)
2025-10-10T00:50:55.4583282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4583698Z     x = self.forward_features(x)
2025-10-10T00:50:55.4584186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4584563Z     x = self.stages(x)
2025-10-10T00:50:55.4584890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4585250Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4585608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4585965Z     x = self.conv(x)
2025-10-10T00:50:55.4586142Z 
2025-10-10T00:50:55.4586260Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4586659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4587015Z     return mod(*inputs)
2025-10-10T00:50:55.4587357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4587715Z     x = self.forward_features(x)
2025-10-10T00:50:55.4588125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4588509Z     x = self.stages(x)
2025-10-10T00:50:55.4588830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4589196Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4589571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4589933Z     x = self.conv(x)
2025-10-10T00:50:55.4590039Z 
2025-10-10T00:50:55.4590162Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4590543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4590895Z     return mod(*inputs)
2025-10-10T00:50:55.4591227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4591591Z     x = self.forward_features(x)
2025-10-10T00:50:55.4591958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4592334Z     x = self.stages(x)
2025-10-10T00:50:55.4592664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4593028Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4593401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4593758Z     x = self.conv(x)
2025-10-10T00:50:55.4593871Z 
2025-10-10T00:50:55.4593985Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4594373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4594721Z     return mod(*inputs)
2025-10-10T00:50:55.4595052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4595412Z     x = self.forward_features(x)
2025-10-10T00:50:55.4595786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4596164Z     x = self.stages(x)
2025-10-10T00:50:55.4596492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4596854Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4597239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4597616Z     x = self.conv(x)
2025-10-10T00:50:55.4597725Z 
2025-10-10T00:50:55.4597849Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4598242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4598602Z     return mod(*inputs)
2025-10-10T00:50:55.4598948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4599320Z     x = self.forward_features(x)
2025-10-10T00:50:55.4599709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4600097Z     x = self.stages(x)
2025-10-10T00:50:55.4600436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4600855Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4601234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4601605Z     x = self.conv(x)
2025-10-10T00:50:55.4601721Z 
2025-10-10T00:50:55.4601836Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4602228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4602619Z     return mod(*inputs)
2025-10-10T00:50:55.4602958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4603332Z     x = self.forward_features(x)
2025-10-10T00:50:55.4603712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4604105Z     x = self.stages(x)
2025-10-10T00:50:55.4604436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4604801Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4605186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4605557Z     x = self.conv(x)
2025-10-10T00:50:55.4605666Z 
2025-10-10T00:50:55.4605791Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4606188Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4606535Z     return mod(*inputs)
2025-10-10T00:50:55.4606874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4607245Z     x = self.forward_features(x)
2025-10-10T00:50:55.4607627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4608000Z     x = self.stages(x)
2025-10-10T00:50:55.4608333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4608709Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4609088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4609453Z     x = self.conv(x)
2025-10-10T00:50:55.4609561Z 
2025-10-10T00:50:55.4609675Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4610084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4610445Z     return mod(*inputs)
2025-10-10T00:50:55.4610784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4611140Z     x = self.forward_features(x)
2025-10-10T00:50:55.4611522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4611908Z     x = self.stages(x)
2025-10-10T00:50:55.4612238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4612606Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4613118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4613481Z     x = self.conv(x)
2025-10-10T00:50:55.4613586Z 
2025-10-10T00:50:55.4613718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4614108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4614450Z     return mod(*inputs)
2025-10-10T00:50:55.4614785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4615145Z     x = self.forward_features(x)
2025-10-10T00:50:55.4615525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4616954Z     x = self.stages(x)
2025-10-10T00:50:55.4617282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4617655Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4618038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4618418Z     x = self.conv(x)
2025-10-10T00:50:55.4618676Z 
2025-10-10T00:50:55.4618797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4619197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4619563Z     return mod(*inputs)
2025-10-10T00:50:55.4619904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4620273Z     x = self.forward_features(x)
2025-10-10T00:50:55.4620647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4621038Z     x = self.stages(x)
2025-10-10T00:50:55.4621374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4621744Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4622122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4622640Z     x = self.conv(x)
2025-10-10T00:50:55.4622765Z 
2025-10-10T00:50:55.4622883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4623284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4623642Z     return mod(*inputs)
2025-10-10T00:50:55.4623994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4624351Z     x = self.forward_features(x)
2025-10-10T00:50:55.4624727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4625100Z     x = self.stages(x)
2025-10-10T00:50:55.4625417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4625778Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4626152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4626507Z     x = self.conv(x)
2025-10-10T00:50:55.4626612Z 
2025-10-10T00:50:55.4626733Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4627109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4627454Z     return mod(*inputs)
2025-10-10T00:50:55.4627792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4628173Z     x = self.forward_features(x)
2025-10-10T00:50:55.4628554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4628946Z     x = self.stages(x)
2025-10-10T00:50:55.4629310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4629690Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4630081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4630443Z     x = self.conv(x)
2025-10-10T00:50:55.4630555Z 
2025-10-10T00:50:55.4630732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4631106Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4631452Z     return mod(*inputs)
2025-10-10T00:50:55.4631785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4632231Z     x = self.forward_features(x)
2025-10-10T00:50:55.4632608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4632975Z     x = self.stages(x)
2025-10-10T00:50:55.4633299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4633704Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4634078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4634427Z     x = self.conv(x)
2025-10-10T00:50:55.4634544Z 
2025-10-10T00:50:55.4634656Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4635051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4635398Z     return mod(*inputs)
2025-10-10T00:50:55.4635807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4636241Z     x = self.forward_features(x)
2025-10-10T00:50:55.4636637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4637096Z     x = self.stages(x)
2025-10-10T00:50:55.4637426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4637778Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4638149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4638507Z     x = self.conv(x)
2025-10-10T00:50:55.4638613Z 
2025-10-10T00:50:55.4638732Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4639121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4639468Z     return mod(*inputs)
2025-10-10T00:50:55.4639800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4640155Z     x = self.forward_features(x)
2025-10-10T00:50:55.4640532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4640902Z     x = self.stages(x)
2025-10-10T00:50:55.4641228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4641592Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4641969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4642307Z     x = self.conv(x)
2025-10-10T00:50:55.4642407Z 
2025-10-10T00:50:55.4642511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4642877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4643217Z     return mod(*inputs)
2025-10-10T00:50:55.4643546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4643895Z     x = self.forward_features(x)
2025-10-10T00:50:55.4644268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4644644Z     x = self.stages(x)
2025-10-10T00:50:55.4644968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4645328Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4645688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4646040Z     x = self.conv(x)
2025-10-10T00:50:55.4646144Z 
2025-10-10T00:50:55.4646265Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4646692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4647037Z     return mod(*inputs)
2025-10-10T00:50:55.4647367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4647723Z     x = self.forward_features(x)
2025-10-10T00:50:55.4648140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4648540Z     x = self.stages(x)
2025-10-10T00:50:55.4648874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4649252Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4649624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4649980Z     x = self.conv(x)
2025-10-10T00:50:55.4650089Z 
2025-10-10T00:50:55.4650202Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4650589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4650940Z     return mod(*inputs)
2025-10-10T00:50:55.4651270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4651629Z     x = self.forward_features(x)
2025-10-10T00:50:55.4651997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4652369Z     x = self.stages(x)
2025-10-10T00:50:55.4652694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4653055Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4653412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4653768Z     x = self.conv(x)
2025-10-10T00:50:55.4653878Z 
2025-10-10T00:50:55.4653989Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4654376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4654721Z     return mod(*inputs)
2025-10-10T00:50:55.4655047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4655406Z     x = self.forward_features(x)
2025-10-10T00:50:55.4655791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4656181Z     x = self.stages(x)
2025-10-10T00:50:55.4656519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4656909Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4657278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4657635Z     x = self.conv(x)
2025-10-10T00:50:55.4657740Z 
2025-10-10T00:50:55.4657858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4658240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4658589Z     return mod(*inputs)
2025-10-10T00:50:55.4658922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4659281Z     x = self.forward_features(x)
2025-10-10T00:50:55.4659644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4660020Z     x = self.stages(x)
2025-10-10T00:50:55.4660351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4660753Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4661187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4661554Z     x = self.conv(x)
2025-10-10T00:50:55.4661665Z 
2025-10-10T00:50:55.4661775Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4662156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4662613Z     return mod(*inputs)
2025-10-10T00:50:55.4663050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4663437Z     x = self.forward_features(x)
2025-10-10T00:50:55.4663808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4664183Z     x = self.stages(x)
2025-10-10T00:50:55.4664509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4664862Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4665235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4665590Z     x = self.conv(x)
2025-10-10T00:50:55.4665695Z 
2025-10-10T00:50:55.4665818Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4666194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4666541Z     return mod(*inputs)
2025-10-10T00:50:55.4666876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4667234Z     x = self.forward_features(x)
2025-10-10T00:50:55.4667605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4667972Z     x = self.stages(x)
2025-10-10T00:50:55.4668296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4668668Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4669006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4669318Z     x = self.conv(x)
2025-10-10T00:50:55.4669422Z 
2025-10-10T00:50:55.4669521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4669880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4670202Z     return mod(*inputs)
2025-10-10T00:50:55.4670506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4670826Z     x = self.forward_features(x)
2025-10-10T00:50:55.4671165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4671505Z     x = self.stages(x)
2025-10-10T00:50:55.4671805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 548, in forward
2025-10-10T00:50:55.4672134Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4672481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4672825Z     x = self.conv(x)
2025-10-10T00:50:55.4672924Z 
2025-10-10T00:50:55.4673037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4673428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4673750Z     return mod(*inputs)
2025-10-10T00:50:55.4674085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4674440Z     x = self.forward_features(x)
2025-10-10T00:50:55.4674811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4675175Z     x = self.stages(x)
2025-10-10T00:50:55.4675527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4675874Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4676243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4676596Z     x = self.conv(x)
2025-10-10T00:50:55.4676699Z 
2025-10-10T00:50:55.4676850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4677236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4677584Z     return mod(*inputs)
2025-10-10T00:50:55.4677922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4678270Z     x = self.forward_features(x)
2025-10-10T00:50:55.4678640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4678996Z     x = self.stages(x)
2025-10-10T00:50:55.4679304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4679647Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4679980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py", line 83, in forward
2025-10-10T00:50:55.4680307Z     x = self.conv(x)
2025-10-10T00:50:55.4680408Z 
2025-10-10T00:50:55.4680525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4680892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4681229Z     return mod(*inputs)
2025-10-10T00:50:55.4681562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1433, in forward
2025-10-10T00:50:55.4681918Z     x = self.forward_features(x)
2025-10-10T00:50:55.4682290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1425, in forward_features
2025-10-10T00:50:55.4682664Z     x = self.stages(x)
2025-10-10T00:50:55.4682979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 545, in forward
2025-10-10T00:50:55.4683336Z     x = self.conv_1x1(x) + self.conv_kxk(x)
2025-10-10T00:50:55.4683477Z 
2025-10-10T00:50:55.4683577Z cudagraph partition due to non gpu ops
2025-10-10T00:50:55.4683848Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4684199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4684527Z     return mod(*inputs)
2025-10-10T00:50:55.4684843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1434, in forward
2025-10-10T00:50:55.4685194Z     x = self.forward_head(x)
2025-10-10T00:50:55.4685549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1430, in forward_head
2025-10-10T00:50:55.4686009Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:50:55.4686449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 128, in forward
2025-10-10T00:50:55.4686812Z     x = self.global_pool(x)
2025-10-10T00:50:55.4687200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:50:55.4687584Z     x = self.pool(x)
2025-10-10T00:50:55.4687700Z 
2025-10-10T00:50:55.4687810Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:50:55.4688199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:50:55.4688545Z     return mod(*inputs)
2025-10-10T00:50:55.4688873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1434, in forward
2025-10-10T00:50:55.4689223Z     x = self.forward_head(x)
2025-10-10T00:50:55.4689633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/byobnet.py", line 1430, in forward_head
2025-10-10T00:50:55.4690086Z     return self.head(x, pre_logits=pre_logits) if pre_logits else self.head(x)
2025-10-10T00:50:55.4690539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 132, in forward
2025-10-10T00:50:55.4690899Z     x = self.fc(x)
2025-10-10T00:50:55.4691012Z 
2025-10-10T00:51:06.7629237Z Compilation time (from dynamo_timed): 23.901884417
2025-10-10T00:51:06.7629770Z pass
2025-10-10T00:51:06.7634784Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:06.7635708Z TIMING: _recursive_pre_grad_passes:0.00772 _recursive_joint_graph_passes:0.18208 _recursive_post_grad_passes:0.10049 async_compile.wait:0.93847 code_gen:10.65532 inductor_compile:13.42527 backend_compile:19.62853 gc:0.00226 entire_frame_compile:23.90188 total_wall_time:23.90188
2025-10-10T00:51:06.7636841Z STATS: call_* op count: 170 | FakeTensorMode.__torch_dispatch__:7109 | attempt fast:43 | fast is_contiguous:43 | FakeTensor.__torch_dispatch__:6033 | ProxyTorchDispatchMode.__torch_dispatch__:3118
2025-10-10T00:51:06.7637467Z Dynamo produced 1 graphs covering 170 ops with 0 graph breaks (0 unique)
2025-10-10T00:51:09.7175239Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:51:09.7176261Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:12.0804524Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:51:12.0806123Z   warnings.warn(
2025-10-10T00:51:12.0807585Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:51:12.0808955Z   warnings.warn(
2025-10-10T00:51:12.5414370Z 
2025-10-10T00:51:13.3095069Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:13.3095415Z 
2025-10-10T00:51:13.8129709Z model.safetensors:   0% 0.00/353M [00:00<?, ?B/s]
2025-10-10T00:51:13.8129964Z 
2025-10-10T00:51:13.9135342Z model.safetensors:   0% 1.01M/353M [00:00<02:55, 2.00MB/s]
2025-10-10T00:51:13.9135603Z 
2025-10-10T00:51:14.0200919Z model.safetensors:  17% 58.6M/353M [00:00<00:02, 129MB/s] 
2025-10-10T00:51:14.0201192Z 
2025-10-10T00:51:14.1224199Z model.safetensors:  50% 177M/353M [00:00<00:00, 375MB/s] 
2025-10-10T00:51:14.1224465Z 
2025-10-10T00:51:14.2164846Z model.safetensors:  88% 312M/353M [00:00<00:00, 617MB/s]
2025-10-10T00:51:14.2165222Z model.safetensors: 100% 353M/353M [00:00<00:00, 389MB/s]
2025-10-10T00:51:14.7262086Z 
2025-10-10T00:51:14.7262799Z loading model: 0it [00:02, ?it/s]
2025-10-10T00:51:14.7294606Z cpu  eval  swin_base_patch4_window7_224       
2025-10-10T00:51:15.6902261Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:16.4181377Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:16.9330160Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:57.7319852Z cudagraph partition due to non gpu ops
2025-10-10T00:52:57.7320541Z cudagraph partition due to non gpu ops
2025-10-10T00:52:57.7321001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7322021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7322565Z     return mod(*inputs)
2025-10-10T00:52:57.7323574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7324149Z     x = self.forward_features(x)
2025-10-10T00:52:57.7328428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 829, in forward_features
2025-10-10T00:52:57.7328910Z     x = self.patch_embed(x)
2025-10-10T00:52:57.7332464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/patch_embed.py", line 131, in forward
2025-10-10T00:52:57.7332893Z     x = self.proj(x)
2025-10-10T00:52:57.7333024Z 
2025-10-10T00:52:57.7333157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7333579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7333956Z     return mod(*inputs)
2025-10-10T00:52:57.7334360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7334772Z     x = self.forward_features(x)
2025-10-10T00:52:57.7335187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7335606Z     x = self.layers(x)
2025-10-10T00:52:57.7335990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7336384Z     x = self.blocks(x)
2025-10-10T00:52:57.7336787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7337235Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7337661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7338198Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7338741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7339268Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7339519Z 
2025-10-10T00:52:57.7339643Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7340054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7340419Z     return mod(*inputs)
2025-10-10T00:52:57.7340792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7341190Z     x = self.forward_features(x)
2025-10-10T00:52:57.7341612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7342030Z     x = self.layers(x)
2025-10-10T00:52:57.7342762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7343183Z     x = self.blocks(x)
2025-10-10T00:52:57.7343547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7343975Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7344388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7345169Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7345661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7346171Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7346395Z 
2025-10-10T00:52:57.7346582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7347000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7347414Z     return mod(*inputs)
2025-10-10T00:52:57.7347774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7348160Z     x = self.forward_features(x)
2025-10-10T00:52:57.7348618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7349023Z     x = self.layers(x)
2025-10-10T00:52:57.7349379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7349760Z     x = self.blocks(x)
2025-10-10T00:52:57.7350109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7350566Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7350973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7351468Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7351947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7352342Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7352486Z 
2025-10-10T00:52:57.7352609Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7352992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7353345Z     return mod(*inputs)
2025-10-10T00:52:57.7353705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7354103Z     x = self.forward_features(x)
2025-10-10T00:52:57.7354512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7354940Z     x = self.layers(x)
2025-10-10T00:52:57.7355311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7355700Z     x = self.blocks(x)
2025-10-10T00:52:57.7356033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7356455Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7356866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7357354Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7357848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7358243Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7358393Z 
2025-10-10T00:52:57.7358511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7358920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7359287Z     return mod(*inputs)
2025-10-10T00:52:57.7359656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7360097Z     x = self.forward_features(x)
2025-10-10T00:52:57.7360515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7360927Z     x = self.layers(x)
2025-10-10T00:52:57.7361286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7361663Z     x = self.blocks(x)
2025-10-10T00:52:57.7362090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7362513Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7362935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7363438Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7363921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7364333Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7364485Z 
2025-10-10T00:52:57.7364604Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7365010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7365373Z     return mod(*inputs)
2025-10-10T00:52:57.7365735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7366129Z     x = self.forward_features(x)
2025-10-10T00:52:57.7366570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7366986Z     x = self.layers(x)
2025-10-10T00:52:57.7367334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7367732Z     x = self.blocks(x)
2025-10-10T00:52:57.7368090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7368506Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7368921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7369752Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7370259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7370647Z     x = attn @ v
2025-10-10T00:52:57.7370766Z 
2025-10-10T00:52:57.7370884Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7371286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7371647Z     return mod(*inputs)
2025-10-10T00:52:57.7372018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7372414Z     x = self.forward_features(x)
2025-10-10T00:52:57.7372828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7373240Z     x = self.layers(x)
2025-10-10T00:52:57.7373602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7373967Z     x = self.blocks(x)
2025-10-10T00:52:57.7374310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7374710Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7375276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7375782Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7376325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7376715Z     x = attn @ v
2025-10-10T00:52:57.7376832Z 
2025-10-10T00:52:57.7376951Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7377355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7377758Z     return mod(*inputs)
2025-10-10T00:52:57.7378118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7378516Z     x = self.forward_features(x)
2025-10-10T00:52:57.7378922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7379332Z     x = self.layers(x)
2025-10-10T00:52:57.7379685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7380073Z     x = self.blocks(x)
2025-10-10T00:52:57.7380426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7380842Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7381256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7381738Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7382226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7382736Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7382909Z 
2025-10-10T00:52:57.7383037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7383438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7383799Z     return mod(*inputs)
2025-10-10T00:52:57.7384165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7384570Z     x = self.forward_features(x)
2025-10-10T00:52:57.7384975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7385374Z     x = self.layers(x)
2025-10-10T00:52:57.7385729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7386104Z     x = self.blocks(x)
2025-10-10T00:52:57.7386449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7386856Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7387251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7387741Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7388222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7388595Z     x = self.proj(x)
2025-10-10T00:52:57.7388709Z 
2025-10-10T00:52:57.7388827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7389212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7389561Z     return mod(*inputs)
2025-10-10T00:52:57.7389916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7390297Z     x = self.forward_features(x)
2025-10-10T00:52:57.7390687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7391130Z     x = self.layers(x)
2025-10-10T00:52:57.7391479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7391870Z     x = self.blocks(x)
2025-10-10T00:52:57.7392227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7392631Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7393034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7393376Z     x = self.fc1(x)
2025-10-10T00:52:57.7393482Z 
2025-10-10T00:52:57.7393607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7393989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7394337Z     return mod(*inputs)
2025-10-10T00:52:57.7394697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7395100Z     x = self.forward_features(x)
2025-10-10T00:52:57.7395499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7395892Z     x = self.layers(x)
2025-10-10T00:52:57.7396240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7396662Z     x = self.blocks(x)
2025-10-10T00:52:57.7397010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7397411Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7397790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7398138Z     x = self.act(x)
2025-10-10T00:52:57.7398243Z 
2025-10-10T00:52:57.7398368Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7398770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7399114Z     return mod(*inputs)
2025-10-10T00:52:57.7399486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7399873Z     x = self.forward_features(x)
2025-10-10T00:52:57.7400285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7400683Z     x = self.layers(x)
2025-10-10T00:52:57.7401087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7401478Z     x = self.blocks(x)
2025-10-10T00:52:57.7401836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7402265Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7402642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7402995Z     x = self.fc2(x)
2025-10-10T00:52:57.7403108Z 
2025-10-10T00:52:57.7403226Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7403628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7403983Z     return mod(*inputs)
2025-10-10T00:52:57.7404357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7404753Z     x = self.forward_features(x)
2025-10-10T00:52:57.7405164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7405573Z     x = self.layers(x)
2025-10-10T00:52:57.7405923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7406355Z     x = self.blocks(x)
2025-10-10T00:52:57.7406715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7407125Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7407534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7408072Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7408618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7409141Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7409381Z 
2025-10-10T00:52:57.7409506Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7409915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7410271Z     return mod(*inputs)
2025-10-10T00:52:57.7410640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7411036Z     x = self.forward_features(x)
2025-10-10T00:52:57.7411442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7411848Z     x = self.layers(x)
2025-10-10T00:52:57.7412218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7412597Z     x = self.blocks(x)
2025-10-10T00:52:57.7413156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7413596Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7414013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7414497Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7414982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7415457Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7415673Z 
2025-10-10T00:52:57.7415802Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7416199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7416567Z     return mod(*inputs)
2025-10-10T00:52:57.7416937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7417335Z     x = self.forward_features(x)
2025-10-10T00:52:57.7417737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7418155Z     x = self.layers(x)
2025-10-10T00:52:57.7418515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7418907Z     x = self.blocks(x)
2025-10-10T00:52:57.7419261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7419671Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7420079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7420564Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7421055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7421448Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7421684Z 
2025-10-10T00:52:57.7421802Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7422203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7422661Z     return mod(*inputs)
2025-10-10T00:52:57.7423043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7423509Z     x = self.forward_features(x)
2025-10-10T00:52:57.7423928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7424351Z     x = self.layers(x)
2025-10-10T00:52:57.7424720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7425119Z     x = self.blocks(x)
2025-10-10T00:52:57.7425486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7425931Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7426347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7426839Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7427341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7427738Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7427887Z 
2025-10-10T00:52:57.7428004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7428404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7428771Z     return mod(*inputs)
2025-10-10T00:52:57.7429127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7429527Z     x = self.forward_features(x)
2025-10-10T00:52:57.7429972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7430383Z     x = self.layers(x)
2025-10-10T00:52:57.7430741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7431126Z     x = self.blocks(x)
2025-10-10T00:52:57.7431488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7431904Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7432316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7432795Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7433290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7433690Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7433830Z 
2025-10-10T00:52:57.7433955Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7434358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7434715Z     return mod(*inputs)
2025-10-10T00:52:57.7435081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7435467Z     x = self.forward_features(x)
2025-10-10T00:52:57.7435882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7436288Z     x = self.layers(x)
2025-10-10T00:52:57.7436641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7437070Z     x = self.blocks(x)
2025-10-10T00:52:57.7437427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7437839Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7438246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7438772Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7439265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7439655Z     x = attn @ v
2025-10-10T00:52:57.7439761Z 
2025-10-10T00:52:57.7439885Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7440290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7440656Z     return mod(*inputs)
2025-10-10T00:52:57.7441022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7441423Z     x = self.forward_features(x)
2025-10-10T00:52:57.7441824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7442237Z     x = self.layers(x)
2025-10-10T00:52:57.7442598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7442982Z     x = self.blocks(x)
2025-10-10T00:52:57.7443334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7443735Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7444146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7444634Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7445126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7445505Z     x = attn @ v
2025-10-10T00:52:57.7445611Z 
2025-10-10T00:52:57.7445728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7446131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7446495Z     return mod(*inputs)
2025-10-10T00:52:57.7446867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7447242Z     x = self.forward_features(x)
2025-10-10T00:52:57.7468579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7469052Z     x = self.layers(x)
2025-10-10T00:52:57.7469444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7469874Z     x = self.blocks(x)
2025-10-10T00:52:57.7470236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7470666Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7471096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7471603Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7472109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7472521Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7472692Z 
2025-10-10T00:52:57.7472821Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7473238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7473751Z     return mod(*inputs)
2025-10-10T00:52:57.7474129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7474530Z     x = self.forward_features(x)
2025-10-10T00:52:57.7474956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7475417Z     x = self.layers(x)
2025-10-10T00:52:57.7475783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7476163Z     x = self.blocks(x)
2025-10-10T00:52:57.7476520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7476926Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7477330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7477853Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7478329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7478705Z     x = self.proj(x)
2025-10-10T00:52:57.7478824Z 
2025-10-10T00:52:57.7478941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7479339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7479696Z     return mod(*inputs)
2025-10-10T00:52:57.7480060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7480452Z     x = self.forward_features(x)
2025-10-10T00:52:57.7480871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7481266Z     x = self.layers(x)
2025-10-10T00:52:57.7481598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7481969Z     x = self.blocks(x)
2025-10-10T00:52:57.7482315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7482728Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7483106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7483458Z     x = self.fc1(x)
2025-10-10T00:52:57.7483574Z 
2025-10-10T00:52:57.7483693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7484096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7484446Z     return mod(*inputs)
2025-10-10T00:52:57.7484801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7485180Z     x = self.forward_features(x)
2025-10-10T00:52:57.7485578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7485972Z     x = self.layers(x)
2025-10-10T00:52:57.7486330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7486713Z     x = self.blocks(x)
2025-10-10T00:52:57.7487063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7487475Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7487864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7488221Z     x = self.act(x)
2025-10-10T00:52:57.7488327Z 
2025-10-10T00:52:57.7488520Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7488937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7489296Z     return mod(*inputs)
2025-10-10T00:52:57.7489660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7490054Z     x = self.forward_features(x)
2025-10-10T00:52:57.7490541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7490988Z     x = self.layers(x)
2025-10-10T00:52:57.7491341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7491763Z     x = self.blocks(x)
2025-10-10T00:52:57.7492115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7492518Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7492895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7493240Z     x = self.fc2(x)
2025-10-10T00:52:57.7493345Z 
2025-10-10T00:52:57.7493468Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7493858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7494220Z     return mod(*inputs)
2025-10-10T00:52:57.7494584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7494977Z     x = self.forward_features(x)
2025-10-10T00:52:57.7495383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7495782Z     x = self.layers(x)
2025-10-10T00:52:57.7496189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.7496589Z     x = self.downsample(x)
2025-10-10T00:52:57.7496962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 442, in forward
2025-10-10T00:52:57.7497398Z     x = x.reshape(B, H // 2, 2, W // 2, 2, C).permute(0, 1, 3, 4, 2, 5).flatten(3)
2025-10-10T00:52:57.7497600Z 
2025-10-10T00:52:57.7497715Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7498111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7498464Z     return mod(*inputs)
2025-10-10T00:52:57.7498824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7499204Z     x = self.forward_features(x)
2025-10-10T00:52:57.7499611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7500015Z     x = self.layers(x)
2025-10-10T00:52:57.7500371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.7500755Z     x = self.downsample(x)
2025-10-10T00:52:57.7501124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 444, in forward
2025-10-10T00:52:57.7501510Z     x = self.reduction(x)
2025-10-10T00:52:57.7501633Z 
2025-10-10T00:52:57.7501759Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7502152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7502600Z     return mod(*inputs)
2025-10-10T00:52:57.7502969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7503363Z     x = self.forward_features(x)
2025-10-10T00:52:57.7503771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7504218Z     x = self.layers(x)
2025-10-10T00:52:57.7504574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7504953Z     x = self.blocks(x)
2025-10-10T00:52:57.7505309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7505824Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7506231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7506750Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7507293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7507818Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7508059Z 
2025-10-10T00:52:57.7508184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7508578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7508932Z     return mod(*inputs)
2025-10-10T00:52:57.7509299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7509691Z     x = self.forward_features(x)
2025-10-10T00:52:57.7510097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7510496Z     x = self.layers(x)
2025-10-10T00:52:57.7510856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7511222Z     x = self.blocks(x)
2025-10-10T00:52:57.7511567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7511963Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7512375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7513028Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7513525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7513991Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7514203Z 
2025-10-10T00:52:57.7514316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7514712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7515061Z     return mod(*inputs)
2025-10-10T00:52:57.7515424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7515810Z     x = self.forward_features(x)
2025-10-10T00:52:57.7516207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7516608Z     x = self.layers(x)
2025-10-10T00:52:57.7516963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7517343Z     x = self.blocks(x)
2025-10-10T00:52:57.7517696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7518112Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7518537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7519012Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7519594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7519976Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7520128Z 
2025-10-10T00:52:57.7520246Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7520650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7521936Z     return mod(*inputs)
2025-10-10T00:52:57.7522311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7522705Z     x = self.forward_features(x)
2025-10-10T00:52:57.7523113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7523518Z     x = self.layers(x)
2025-10-10T00:52:57.7523863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7524228Z     x = self.blocks(x)
2025-10-10T00:52:57.7524572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7524973Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7525388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7525873Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7526354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7526747Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7526890Z 
2025-10-10T00:52:57.7527012Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7527373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7527696Z     return mod(*inputs)
2025-10-10T00:52:57.7528029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7528392Z     x = self.forward_features(x)
2025-10-10T00:52:57.7528788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7529184Z     x = self.layers(x)
2025-10-10T00:52:57.7529523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7529892Z     x = self.blocks(x)
2025-10-10T00:52:57.7530237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7530634Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7531020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7531464Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7531912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7532296Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7532431Z 
2025-10-10T00:52:57.7532556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7532934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7533281Z     return mod(*inputs)
2025-10-10T00:52:57.7533632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7534011Z     x = self.forward_features(x)
2025-10-10T00:52:57.7534405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7534833Z     x = self.layers(x)
2025-10-10T00:52:57.7535178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7535546Z     x = self.blocks(x)
2025-10-10T00:52:57.7535886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7536284Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7536737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7537220Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7537703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7538080Z     x = attn @ v
2025-10-10T00:52:57.7538186Z 
2025-10-10T00:52:57.7538305Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7538703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7539058Z     return mod(*inputs)
2025-10-10T00:52:57.7539416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7539800Z     x = self.forward_features(x)
2025-10-10T00:52:57.7540211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7540617Z     x = self.layers(x)
2025-10-10T00:52:57.7540974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7541353Z     x = self.blocks(x)
2025-10-10T00:52:57.7541698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7542107Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7542611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7543104Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7543592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7543971Z     x = attn @ v
2025-10-10T00:52:57.7544094Z 
2025-10-10T00:52:57.7544212Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7544612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7544970Z     return mod(*inputs)
2025-10-10T00:52:57.7545325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7545722Z     x = self.forward_features(x)
2025-10-10T00:52:57.7546140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7546551Z     x = self.layers(x)
2025-10-10T00:52:57.7546902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7547271Z     x = self.blocks(x)
2025-10-10T00:52:57.7547627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7548033Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7548439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7548912Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7549396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7549846Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7550004Z 
2025-10-10T00:52:57.7550130Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7550530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7550889Z     return mod(*inputs)
2025-10-10T00:52:57.7551258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7551691Z     x = self.forward_features(x)
2025-10-10T00:52:57.7552101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7552503Z     x = self.layers(x)
2025-10-10T00:52:57.7552851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7553232Z     x = self.blocks(x)
2025-10-10T00:52:57.7553587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7553998Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7554398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7554885Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7555361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7555730Z     x = self.proj(x)
2025-10-10T00:52:57.7555847Z 
2025-10-10T00:52:57.7555961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7556320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7556649Z     return mod(*inputs)
2025-10-10T00:52:57.7556986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7557367Z     x = self.forward_features(x)
2025-10-10T00:52:57.7557752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7558145Z     x = self.layers(x)
2025-10-10T00:52:57.7558492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7558874Z     x = self.blocks(x)
2025-10-10T00:52:57.7559210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7559594Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7559952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7560285Z     x = self.fc1(x)
2025-10-10T00:52:57.7560389Z 
2025-10-10T00:52:57.7560509Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7560901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7561258Z     return mod(*inputs)
2025-10-10T00:52:57.7561617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7562006Z     x = self.forward_features(x)
2025-10-10T00:52:57.7562413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7562808Z     x = self.layers(x)
2025-10-10T00:52:57.7563142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7563499Z     x = self.blocks(x)
2025-10-10T00:52:57.7563831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7564232Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7564646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7564993Z     x = self.act(x)
2025-10-10T00:52:57.7565098Z 
2025-10-10T00:52:57.7565223Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7565621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7565975Z     return mod(*inputs)
2025-10-10T00:52:57.7566380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7566761Z     x = self.forward_features(x)
2025-10-10T00:52:57.7567154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7567547Z     x = self.layers(x)
2025-10-10T00:52:57.7567881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7568253Z     x = self.blocks(x)
2025-10-10T00:52:57.7568595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7568991Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7569341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7569673Z     x = self.fc2(x)
2025-10-10T00:52:57.7569778Z 
2025-10-10T00:52:57.7569894Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7570289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7570643Z     return mod(*inputs)
2025-10-10T00:52:57.7570995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7571378Z     x = self.forward_features(x)
2025-10-10T00:52:57.7571781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7572189Z     x = self.layers(x)
2025-10-10T00:52:57.7572526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7572894Z     x = self.blocks(x)
2025-10-10T00:52:57.7573237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7573646Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7574052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7574554Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7575090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7575607Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7575853Z 
2025-10-10T00:52:57.7575976Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7576368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7576718Z     return mod(*inputs)
2025-10-10T00:52:57.7577087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7577481Z     x = self.forward_features(x)
2025-10-10T00:52:57.7577891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7578287Z     x = self.layers(x)
2025-10-10T00:52:57.7578647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7579023Z     x = self.blocks(x)
2025-10-10T00:52:57.7579417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7579830Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7580230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7580717Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7581236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7581704Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7581918Z 
2025-10-10T00:52:57.7582043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7582532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7582904Z     return mod(*inputs)
2025-10-10T00:52:57.7583277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7583681Z     x = self.forward_features(x)
2025-10-10T00:52:57.7584070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7584472Z     x = self.layers(x)
2025-10-10T00:52:57.7584821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7585195Z     x = self.blocks(x)
2025-10-10T00:52:57.7585536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7585930Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7586329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7586819Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7587294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7587678Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7587814Z 
2025-10-10T00:52:57.7587935Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7588333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7588691Z     return mod(*inputs)
2025-10-10T00:52:57.7589058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7589441Z     x = self.forward_features(x)
2025-10-10T00:52:57.7589842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7590245Z     x = self.layers(x)
2025-10-10T00:52:57.7590593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7590974Z     x = self.blocks(x)
2025-10-10T00:52:57.7591316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7591715Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7592127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7592611Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7593094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7593481Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7593629Z 
2025-10-10T00:52:57.7593744Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7594134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7594537Z     return mod(*inputs)
2025-10-10T00:52:57.7594896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7595278Z     x = self.forward_features(x)
2025-10-10T00:52:57.7595686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7596135Z     x = self.layers(x)
2025-10-10T00:52:57.7596492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7596866Z     x = self.blocks(x)
2025-10-10T00:52:57.7597218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7597624Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7598025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7598512Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7598993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7599387Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7599537Z 
2025-10-10T00:52:57.7599657Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7600058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7600418Z     return mod(*inputs)
2025-10-10T00:52:57.7600769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7601162Z     x = self.forward_features(x)
2025-10-10T00:52:57.7601581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7601988Z     x = self.layers(x)
2025-10-10T00:52:57.7602328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7602698Z     x = self.blocks(x)
2025-10-10T00:52:57.7603042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7603445Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7603834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7604305Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7604794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7605173Z     x = attn @ v
2025-10-10T00:52:57.7605278Z 
2025-10-10T00:52:57.7605405Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7605804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7606158Z     return mod(*inputs)
2025-10-10T00:52:57.7606514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7606895Z     x = self.forward_features(x)
2025-10-10T00:52:57.7607289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7607679Z     x = self.layers(x)
2025-10-10T00:52:57.7608036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7608426Z     x = self.blocks(x)
2025-10-10T00:52:57.7608770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7609211Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7609600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7610072Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7610547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7610952Z     x = attn @ v
2025-10-10T00:52:57.7611060Z 
2025-10-10T00:52:57.7611174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7611575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7611940Z     return mod(*inputs)
2025-10-10T00:52:57.7612294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7612679Z     x = self.forward_features(x)
2025-10-10T00:52:57.7613284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7613697Z     x = self.layers(x)
2025-10-10T00:52:57.7614054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7614443Z     x = self.blocks(x)
2025-10-10T00:52:57.7614799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7615229Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7615650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7616143Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7616639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7617040Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7617204Z 
2025-10-10T00:52:57.7617320Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7617717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7618073Z     return mod(*inputs)
2025-10-10T00:52:57.7618440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7618825Z     x = self.forward_features(x)
2025-10-10T00:52:57.7619241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7619657Z     x = self.layers(x)
2025-10-10T00:52:57.7620026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7620408Z     x = self.blocks(x)
2025-10-10T00:52:57.7620772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7621192Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7621611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7622105Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7622657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7623047Z     x = self.proj(x)
2025-10-10T00:52:57.7623170Z 
2025-10-10T00:52:57.7623287Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7623691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7624050Z     return mod(*inputs)
2025-10-10T00:52:57.7624408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7624875Z     x = self.forward_features(x)
2025-10-10T00:52:57.7625281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7625688Z     x = self.layers(x)
2025-10-10T00:52:57.7626035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7626466Z     x = self.blocks(x)
2025-10-10T00:52:57.7626825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7627241Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7627620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7627956Z     x = self.fc1(x)
2025-10-10T00:52:57.7628068Z 
2025-10-10T00:52:57.7628184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7628581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7628937Z     return mod(*inputs)
2025-10-10T00:52:57.7629290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7629679Z     x = self.forward_features(x)
2025-10-10T00:52:57.7630084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7630492Z     x = self.layers(x)
2025-10-10T00:52:57.7630846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7631216Z     x = self.blocks(x)
2025-10-10T00:52:57.7631568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7631978Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7632346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7632680Z     x = self.act(x)
2025-10-10T00:52:57.7632788Z 
2025-10-10T00:52:57.7632905Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7633299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7633657Z     return mod(*inputs)
2025-10-10T00:52:57.7634021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7634403Z     x = self.forward_features(x)
2025-10-10T00:52:57.7634809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7635212Z     x = self.layers(x)
2025-10-10T00:52:57.7635562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7635938Z     x = self.blocks(x)
2025-10-10T00:52:57.7636287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7636698Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7637078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7637409Z     x = self.fc2(x)
2025-10-10T00:52:57.7637513Z 
2025-10-10T00:52:57.7637626Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7638009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7638347Z     return mod(*inputs)
2025-10-10T00:52:57.7638699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7639068Z     x = self.forward_features(x)
2025-10-10T00:52:57.7639464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7639907Z     x = self.layers(x)
2025-10-10T00:52:57.7640256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.7640644Z     x = self.downsample(x)
2025-10-10T00:52:57.7641006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 442, in forward
2025-10-10T00:52:57.7641484Z     x = x.reshape(B, H // 2, 2, W // 2, 2, C).permute(0, 1, 3, 4, 2, 5).flatten(3)
2025-10-10T00:52:57.7641689Z 
2025-10-10T00:52:57.7641806Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7642202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7642560Z     return mod(*inputs)
2025-10-10T00:52:57.7642917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7643314Z     x = self.forward_features(x)
2025-10-10T00:52:57.7643724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7644134Z     x = self.layers(x)
2025-10-10T00:52:57.7644483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.7644869Z     x = self.downsample(x)
2025-10-10T00:52:57.7645229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 444, in forward
2025-10-10T00:52:57.7645606Z     x = self.reduction(x)
2025-10-10T00:52:57.7645726Z 
2025-10-10T00:52:57.7645845Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7646222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7646567Z     return mod(*inputs)
2025-10-10T00:52:57.7646927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7647310Z     x = self.forward_features(x)
2025-10-10T00:52:57.7647709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7648115Z     x = self.layers(x)
2025-10-10T00:52:57.7648470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7648852Z     x = self.blocks(x)
2025-10-10T00:52:57.7649201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7649600Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7650007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7650520Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7651058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7651574Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7651811Z 
2025-10-10T00:52:57.7651930Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7652330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7652689Z     return mod(*inputs)
2025-10-10T00:52:57.7653052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7653442Z     x = self.forward_features(x)
2025-10-10T00:52:57.7653852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7654316Z     x = self.layers(x)
2025-10-10T00:52:57.7654677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7655058Z     x = self.blocks(x)
2025-10-10T00:52:57.7655405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7655820Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7656266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7656761Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7657246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7657726Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7657949Z 
2025-10-10T00:52:57.7658071Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7658470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7658828Z     return mod(*inputs)
2025-10-10T00:52:57.7659182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7659577Z     x = self.forward_features(x)
2025-10-10T00:52:57.7659984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7660392Z     x = self.layers(x)
2025-10-10T00:52:57.7660749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7661120Z     x = self.blocks(x)
2025-10-10T00:52:57.7661475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7661888Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7662303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7662884Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7663378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7663780Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7663925Z 
2025-10-10T00:52:57.7664050Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7664452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7664804Z     return mod(*inputs)
2025-10-10T00:52:57.7665172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7665567Z     x = self.forward_features(x)
2025-10-10T00:52:57.7665982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7666391Z     x = self.layers(x)
2025-10-10T00:52:57.7666741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7667119Z     x = self.blocks(x)
2025-10-10T00:52:57.7667475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7667886Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7668286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7668770Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7669271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7669702Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7669836Z 
2025-10-10T00:52:57.7669957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7670335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7670683Z     return mod(*inputs)
2025-10-10T00:52:57.7671070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7671457Z     x = self.forward_features(x)
2025-10-10T00:52:57.7671852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7672239Z     x = self.layers(x)
2025-10-10T00:52:57.7672584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7672953Z     x = self.blocks(x)
2025-10-10T00:52:57.7673296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7673692Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7674089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7674570Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7675067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7675448Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7675580Z 
2025-10-10T00:52:57.7675693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7676077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7676431Z     return mod(*inputs)
2025-10-10T00:52:57.7676796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7677183Z     x = self.forward_features(x)
2025-10-10T00:52:57.7677576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7677970Z     x = self.layers(x)
2025-10-10T00:52:57.7678316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7678687Z     x = self.blocks(x)
2025-10-10T00:52:57.7679020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7679416Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7679825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7680309Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7680802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7681172Z     x = attn @ v
2025-10-10T00:52:57.7681286Z 
2025-10-10T00:52:57.7681402Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7681796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7682161Z     return mod(*inputs)
2025-10-10T00:52:57.7682505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7682884Z     x = self.forward_features(x)
2025-10-10T00:52:57.7683275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7683676Z     x = self.layers(x)
2025-10-10T00:52:57.7684027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7684441Z     x = self.blocks(x)
2025-10-10T00:52:57.7684793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7685201Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7685609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7686125Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7686612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7686986Z     x = attn @ v
2025-10-10T00:52:57.7687090Z 
2025-10-10T00:52:57.7687212Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7687608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7687961Z     return mod(*inputs)
2025-10-10T00:52:57.7688322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7688710Z     x = self.forward_features(x)
2025-10-10T00:52:57.7689115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7689522Z     x = self.layers(x)
2025-10-10T00:52:57.7689874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7690251Z     x = self.blocks(x)
2025-10-10T00:52:57.7690602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7691007Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7691409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7691893Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7692382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7692789Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7692943Z 
2025-10-10T00:52:57.7693066Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7693458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7693812Z     return mod(*inputs)
2025-10-10T00:52:57.7694172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7694560Z     x = self.forward_features(x)
2025-10-10T00:52:57.7694956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7695359Z     x = self.layers(x)
2025-10-10T00:52:57.7695716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7696095Z     x = self.blocks(x)
2025-10-10T00:52:57.7696448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7696841Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7697244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7697721Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7698206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7698587Z     x = self.proj(x)
2025-10-10T00:52:57.7698697Z 
2025-10-10T00:52:57.7698812Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7699253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7699606Z     return mod(*inputs)
2025-10-10T00:52:57.7699967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7700347Z     x = self.forward_features(x)
2025-10-10T00:52:57.7700790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7701196Z     x = self.layers(x)
2025-10-10T00:52:57.7701552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7701929Z     x = self.blocks(x)
2025-10-10T00:52:57.7702276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7702767Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7703148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7703498Z     x = self.fc1(x)
2025-10-10T00:52:57.7703606Z 
2025-10-10T00:52:57.7703722Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7704120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7704467Z     return mod(*inputs)
2025-10-10T00:52:57.7704831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7705225Z     x = self.forward_features(x)
2025-10-10T00:52:57.7705624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7706031Z     x = self.layers(x)
2025-10-10T00:52:57.7706382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7706773Z     x = self.blocks(x)
2025-10-10T00:52:57.7707107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7707505Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7707871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7708206Z     x = self.act(x)
2025-10-10T00:52:57.7708308Z 
2025-10-10T00:52:57.7708431Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7708810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7709155Z     return mod(*inputs)
2025-10-10T00:52:57.7709507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7709887Z     x = self.forward_features(x)
2025-10-10T00:52:57.7710274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7710671Z     x = self.layers(x)
2025-10-10T00:52:57.7711012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7711379Z     x = self.blocks(x)
2025-10-10T00:52:57.7711719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7712114Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7712482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7712929Z     x = self.fc2(x)
2025-10-10T00:52:57.7713035Z 
2025-10-10T00:52:57.7713161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7713540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7713893Z     return mod(*inputs)
2025-10-10T00:52:57.7714333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7714710Z     x = self.forward_features(x)
2025-10-10T00:52:57.7715106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7715495Z     x = self.layers(x)
2025-10-10T00:52:57.7715900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7716269Z     x = self.blocks(x)
2025-10-10T00:52:57.7716613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7717001Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7717393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7717891Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7718413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7718906Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7719132Z 
2025-10-10T00:52:57.7719253Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7719635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7719992Z     return mod(*inputs)
2025-10-10T00:52:57.7720362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7720743Z     x = self.forward_features(x)
2025-10-10T00:52:57.7721139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7721547Z     x = self.layers(x)
2025-10-10T00:52:57.7721900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7722282Z     x = self.blocks(x)
2025-10-10T00:52:57.7722635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7723037Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7723447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7723932Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7724418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7724871Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7725088Z 
2025-10-10T00:52:57.7725209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7725613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7725971Z     return mod(*inputs)
2025-10-10T00:52:57.7726331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7726717Z     x = self.forward_features(x)
2025-10-10T00:52:57.7727122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7727525Z     x = self.layers(x)
2025-10-10T00:52:57.7727878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7728264Z     x = self.blocks(x)
2025-10-10T00:52:57.7728608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7729061Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7729468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7729955Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7730436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7730890Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7731041Z 
2025-10-10T00:52:57.7731159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7731559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7731918Z     return mod(*inputs)
2025-10-10T00:52:57.7732277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7732668Z     x = self.forward_features(x)
2025-10-10T00:52:57.7733080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7733491Z     x = self.layers(x)
2025-10-10T00:52:57.7733838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7734219Z     x = self.blocks(x)
2025-10-10T00:52:57.7734573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7734982Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7735387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7735864Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7736352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7736747Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7736884Z 
2025-10-10T00:52:57.7737009Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7737406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7737753Z     return mod(*inputs)
2025-10-10T00:52:57.7738115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7738504Z     x = self.forward_features(x)
2025-10-10T00:52:57.7738911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7739312Z     x = self.layers(x)
2025-10-10T00:52:57.7739667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7740043Z     x = self.blocks(x)
2025-10-10T00:52:57.7740399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7740803Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7741204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7741687Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7742175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7742639Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7742781Z 
2025-10-10T00:52:57.7742908Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7743326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7743698Z     return mod(*inputs)
2025-10-10T00:52:57.7744060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7744490Z     x = self.forward_features(x)
2025-10-10T00:52:57.7744878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7745275Z     x = self.layers(x)
2025-10-10T00:52:57.7745617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7746026Z     x = self.blocks(x)
2025-10-10T00:52:57.7746372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7746759Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7747156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7747625Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7748103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7748471Z     x = attn @ v
2025-10-10T00:52:57.7748573Z 
2025-10-10T00:52:57.7748686Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7749071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7749417Z     return mod(*inputs)
2025-10-10T00:52:57.7749771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7750142Z     x = self.forward_features(x)
2025-10-10T00:52:57.7750539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7750932Z     x = self.layers(x)
2025-10-10T00:52:57.7751282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7751654Z     x = self.blocks(x)
2025-10-10T00:52:57.7751992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7752097Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7752333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7752513Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7752754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7752822Z     x = attn @ v
2025-10-10T00:52:57.7752826Z 
2025-10-10T00:52:57.7752952Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7753166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7753248Z     return mod(*inputs)
2025-10-10T00:52:57.7753491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7753570Z     x = self.forward_features(x)
2025-10-10T00:52:57.7753846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7753916Z     x = self.layers(x)
2025-10-10T00:52:57.7754164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7754235Z     x = self.blocks(x)
2025-10-10T00:52:57.7754480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7754591Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7754831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7755052Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7755296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7755401Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7755406Z 
2025-10-10T00:52:57.7755524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7755793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7755876Z     return mod(*inputs)
2025-10-10T00:52:57.7756118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7756205Z     x = self.forward_features(x)
2025-10-10T00:52:57.7756472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7756545Z     x = self.layers(x)
2025-10-10T00:52:57.7756794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7756864Z     x = self.blocks(x)
2025-10-10T00:52:57.7757110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7757211Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7757455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7757636Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7757877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7757959Z     x = self.proj(x)
2025-10-10T00:52:57.7757963Z 
2025-10-10T00:52:57.7758076Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7758301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7758375Z     return mod(*inputs)
2025-10-10T00:52:57.7758617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7758704Z     x = self.forward_features(x)
2025-10-10T00:52:57.7758982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7759061Z     x = self.layers(x)
2025-10-10T00:52:57.7759310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7759381Z     x = self.blocks(x)
2025-10-10T00:52:57.7759630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7759737Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7759958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7760030Z     x = self.fc1(x)
2025-10-10T00:52:57.7760034Z 
2025-10-10T00:52:57.7760157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7760371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7760444Z     return mod(*inputs)
2025-10-10T00:52:57.7760699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7760779Z     x = self.forward_features(x)
2025-10-10T00:52:57.7761053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7761125Z     x = self.layers(x)
2025-10-10T00:52:57.7761367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7761482Z     x = self.blocks(x)
2025-10-10T00:52:57.7761725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7761834Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7762044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7762115Z     x = self.act(x)
2025-10-10T00:52:57.7762119Z 
2025-10-10T00:52:57.7762277Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7762495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7762575Z     return mod(*inputs)
2025-10-10T00:52:57.7762825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7762902Z     x = self.forward_features(x)
2025-10-10T00:52:57.7763174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7763247Z     x = self.layers(x)
2025-10-10T00:52:57.7763486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7763553Z     x = self.blocks(x)
2025-10-10T00:52:57.7763786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7763893Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7764092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7764168Z     x = self.fc2(x)
2025-10-10T00:52:57.7764171Z 
2025-10-10T00:52:57.7764281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7764496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7764567Z     return mod(*inputs)
2025-10-10T00:52:57.7764802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7764886Z     x = self.forward_features(x)
2025-10-10T00:52:57.7765144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7765221Z     x = self.layers(x)
2025-10-10T00:52:57.7765456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7765525Z     x = self.blocks(x)
2025-10-10T00:52:57.7765766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7765864Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7765868Z 
2025-10-10T00:52:57.7765984Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7766193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7766267Z     return mod(*inputs)
2025-10-10T00:52:57.7766509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7766585Z     x = self.forward_features(x)
2025-10-10T00:52:57.7766851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7766921Z     x = self.layers(x)
2025-10-10T00:52:57.7767162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7767229Z     x = self.blocks(x)
2025-10-10T00:52:57.7767462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7767569Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7767803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7768052Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7768325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7768505Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7768517Z 
2025-10-10T00:52:57.7768661Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7768878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7768959Z     return mod(*inputs)
2025-10-10T00:52:57.7769202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7769294Z     x = self.forward_features(x)
2025-10-10T00:52:57.7769552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7769624Z     x = self.layers(x)
2025-10-10T00:52:57.7769862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7769930Z     x = self.blocks(x)
2025-10-10T00:52:57.7770168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7770271Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7770505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7770685Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7770916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7771078Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7771082Z 
2025-10-10T00:52:57.7771191Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7771406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7771477Z     return mod(*inputs)
2025-10-10T00:52:57.7771718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7771805Z     x = self.forward_features(x)
2025-10-10T00:52:57.7772072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7772150Z     x = self.layers(x)
2025-10-10T00:52:57.7772390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7772461Z     x = self.blocks(x)
2025-10-10T00:52:57.7772710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7772816Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7773071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7773240Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7773476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7773564Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7773568Z 
2025-10-10T00:52:57.7773677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7773896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7773967Z     return mod(*inputs)
2025-10-10T00:52:57.7774209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7774324Z     x = self.forward_features(x)
2025-10-10T00:52:57.7774595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7774673Z     x = self.layers(x)
2025-10-10T00:52:57.7774909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7775018Z     x = self.blocks(x)
2025-10-10T00:52:57.7775251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7775349Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7775586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7775754Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7775997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7776078Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7776082Z 
2025-10-10T00:52:57.7776203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7776417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7776490Z     return mod(*inputs)
2025-10-10T00:52:57.7776738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7776816Z     x = self.forward_features(x)
2025-10-10T00:52:57.7777088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7777158Z     x = self.layers(x)
2025-10-10T00:52:57.7777397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7777477Z     x = self.blocks(x)
2025-10-10T00:52:57.7777717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7777824Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7778061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7778233Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7778480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7778561Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7778565Z 
2025-10-10T00:52:57.7778685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7778897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7778980Z     return mod(*inputs)
2025-10-10T00:52:57.7779220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7779298Z     x = self.forward_features(x)
2025-10-10T00:52:57.7779573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7779645Z     x = self.layers(x)
2025-10-10T00:52:57.7779895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7779966Z     x = self.blocks(x)
2025-10-10T00:52:57.7780206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7780313Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7780550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7780767Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7781010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7781079Z     x = attn @ v
2025-10-10T00:52:57.7781083Z 
2025-10-10T00:52:57.7781203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7781462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7781546Z     return mod(*inputs)
2025-10-10T00:52:57.7781789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7781875Z     x = self.forward_features(x)
2025-10-10T00:52:57.7782143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7782217Z     x = self.layers(x)
2025-10-10T00:52:57.7782545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7782624Z     x = self.blocks(x)
2025-10-10T00:52:57.7782877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7782981Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7783234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7783418Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7783661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7783735Z     x = attn @ v
2025-10-10T00:52:57.7783739Z 
2025-10-10T00:52:57.7783847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7784060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7784140Z     return mod(*inputs)
2025-10-10T00:52:57.7784372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7784457Z     x = self.forward_features(x)
2025-10-10T00:52:57.7784720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7784799Z     x = self.layers(x)
2025-10-10T00:52:57.7785034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7785105Z     x = self.blocks(x)
2025-10-10T00:52:57.7785343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7785439Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7785680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7785848Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7786079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7786179Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7786183Z 
2025-10-10T00:52:57.7786295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7786508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7786580Z     return mod(*inputs)
2025-10-10T00:52:57.7786814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7786893Z     x = self.forward_features(x)
2025-10-10T00:52:57.7787136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7787256Z     x = self.layers(x)
2025-10-10T00:52:57.7787480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7787554Z     x = self.blocks(x)
2025-10-10T00:52:57.7787775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7787898Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7788140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7788301Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7788533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7788599Z     x = self.proj(x)
2025-10-10T00:52:57.7788604Z 
2025-10-10T00:52:57.7788709Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7788917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7788986Z     return mod(*inputs)
2025-10-10T00:52:57.7789214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7789286Z     x = self.forward_features(x)
2025-10-10T00:52:57.7789535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7789607Z     x = self.layers(x)
2025-10-10T00:52:57.7789828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7789902Z     x = self.blocks(x)
2025-10-10T00:52:57.7790125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7790230Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7790421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7790486Z     x = self.fc1(x)
2025-10-10T00:52:57.7790489Z 
2025-10-10T00:52:57.7790600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7790801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7790875Z     return mod(*inputs)
2025-10-10T00:52:57.7791096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7791167Z     x = self.forward_features(x)
2025-10-10T00:52:57.7791424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7791488Z     x = self.layers(x)
2025-10-10T00:52:57.7791728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7791792Z     x = self.blocks(x)
2025-10-10T00:52:57.7792014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7792114Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7792319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7792394Z     x = self.act(x)
2025-10-10T00:52:57.7792397Z 
2025-10-10T00:52:57.7792506Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7792720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7792791Z     return mod(*inputs)
2025-10-10T00:52:57.7793025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7793147Z     x = self.forward_features(x)
2025-10-10T00:52:57.7793407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7793484Z     x = self.layers(x)
2025-10-10T00:52:57.7793718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7793785Z     x = self.blocks(x)
2025-10-10T00:52:57.7794057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7794158Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7794365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7794434Z     x = self.fc2(x)
2025-10-10T00:52:57.7794438Z 
2025-10-10T00:52:57.7794547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7794765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7794840Z     return mod(*inputs)
2025-10-10T00:52:57.7795082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7795159Z     x = self.forward_features(x)
2025-10-10T00:52:57.7795420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7795500Z     x = self.layers(x)
2025-10-10T00:52:57.7795731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7795808Z     x = self.blocks(x)
2025-10-10T00:52:57.7796041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7796147Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7796378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7796579Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7796847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7797018Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7797024Z 
2025-10-10T00:52:57.7797143Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7797353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7797423Z     return mod(*inputs)
2025-10-10T00:52:57.7797666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7797742Z     x = self.forward_features(x)
2025-10-10T00:52:57.7798011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7798080Z     x = self.layers(x)
2025-10-10T00:52:57.7798321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7798389Z     x = self.blocks(x)
2025-10-10T00:52:57.7798622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7798725Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7798957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7799137Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7799374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7799571Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7799575Z 
2025-10-10T00:52:57.7799696Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7799904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7799983Z     return mod(*inputs)
2025-10-10T00:52:57.7800246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7800324Z     x = self.forward_features(x)
2025-10-10T00:52:57.7800588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7800656Z     x = self.layers(x)
2025-10-10T00:52:57.7800894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7800964Z     x = self.blocks(x)
2025-10-10T00:52:57.7801205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7801301Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7801535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7801712Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7801949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7802037Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7802041Z 
2025-10-10T00:52:57.7802153Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7802361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7802441Z     return mod(*inputs)
2025-10-10T00:52:57.7802673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7802759Z     x = self.forward_features(x)
2025-10-10T00:52:57.7803017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7803086Z     x = self.layers(x)
2025-10-10T00:52:57.7803326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7803398Z     x = self.blocks(x)
2025-10-10T00:52:57.7803640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7803737Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7803977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7804147Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7804384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7804474Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7804478Z 
2025-10-10T00:52:57.7804590Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7804806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7804881Z     return mod(*inputs)
2025-10-10T00:52:57.7805114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7805198Z     x = self.forward_features(x)
2025-10-10T00:52:57.7805456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7805535Z     x = self.layers(x)
2025-10-10T00:52:57.7805770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7805894Z     x = self.blocks(x)
2025-10-10T00:52:57.7806131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7806230Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7806473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7806675Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7806918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7806997Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7807001Z 
2025-10-10T00:52:57.7807110Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7807330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7807403Z     return mod(*inputs)
2025-10-10T00:52:57.7807645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7807722Z     x = self.forward_features(x)
2025-10-10T00:52:57.7807979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7808054Z     x = self.layers(x)
2025-10-10T00:52:57.7808287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7808362Z     x = self.blocks(x)
2025-10-10T00:52:57.7808595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7808701Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7808931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7809102Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7809343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7809410Z     x = attn @ v
2025-10-10T00:52:57.7809413Z 
2025-10-10T00:52:57.7809533Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7809742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7809813Z     return mod(*inputs)
2025-10-10T00:52:57.7810055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7810131Z     x = self.forward_features(x)
2025-10-10T00:52:57.7810400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7810475Z     x = self.layers(x)
2025-10-10T00:52:57.7810712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7810792Z     x = self.blocks(x)
2025-10-10T00:52:57.7811039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7811144Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7811380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7811555Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7811787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7811853Z     x = attn @ v
2025-10-10T00:52:57.7811857Z 
2025-10-10T00:52:57.7811973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7812222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7812301Z     return mod(*inputs)
2025-10-10T00:52:57.7812541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7812617Z     x = self.forward_features(x)
2025-10-10T00:52:57.7813200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7813280Z     x = self.layers(x)
2025-10-10T00:52:57.7813531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7813602Z     x = self.blocks(x)
2025-10-10T00:52:57.7813840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7813951Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7814196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7814388Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7814622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7814722Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7814729Z 
2025-10-10T00:52:57.7814839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7815050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7815133Z     return mod(*inputs)
2025-10-10T00:52:57.7815369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7815455Z     x = self.forward_features(x)
2025-10-10T00:52:57.7815725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7815799Z     x = self.layers(x)
2025-10-10T00:52:57.7816048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7816120Z     x = self.blocks(x)
2025-10-10T00:52:57.7816369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7816472Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7816713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7816895Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7817136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7817219Z     x = self.proj(x)
2025-10-10T00:52:57.7817223Z 
2025-10-10T00:52:57.7817335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7817560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7817633Z     return mod(*inputs)
2025-10-10T00:52:57.7817874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7817962Z     x = self.forward_features(x)
2025-10-10T00:52:57.7818231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7818309Z     x = self.layers(x)
2025-10-10T00:52:57.7818553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7818623Z     x = self.blocks(x)
2025-10-10T00:52:57.7818874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7819033Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7819252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7819322Z     x = self.fc1(x)
2025-10-10T00:52:57.7819326Z 
2025-10-10T00:52:57.7819439Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7819694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7819772Z     return mod(*inputs)
2025-10-10T00:52:57.7820021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7820100Z     x = self.forward_features(x)
2025-10-10T00:52:57.7820378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7820450Z     x = self.layers(x)
2025-10-10T00:52:57.7820692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7820771Z     x = self.blocks(x)
2025-10-10T00:52:57.7821010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7821119Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7821327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7821396Z     x = self.act(x)
2025-10-10T00:52:57.7821400Z 
2025-10-10T00:52:57.7821525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7821741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7821825Z     return mod(*inputs)
2025-10-10T00:52:57.7822066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7822149Z     x = self.forward_features(x)
2025-10-10T00:52:57.7822490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7822567Z     x = self.layers(x)
2025-10-10T00:52:57.7822817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7822888Z     x = self.blocks(x)
2025-10-10T00:52:57.7823157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7823268Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7823473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7823555Z     x = self.fc2(x)
2025-10-10T00:52:57.7823559Z 
2025-10-10T00:52:57.7823675Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7823903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7823978Z     return mod(*inputs)
2025-10-10T00:52:57.7824222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7824310Z     x = self.forward_features(x)
2025-10-10T00:52:57.7824580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7824663Z     x = self.layers(x)
2025-10-10T00:52:57.7824907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7824977Z     x = self.blocks(x)
2025-10-10T00:52:57.7825230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7825330Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7825333Z 
2025-10-10T00:52:57.7825499Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7825719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7825793Z     return mod(*inputs)
2025-10-10T00:52:57.7826052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7826131Z     x = self.forward_features(x)
2025-10-10T00:52:57.7826457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7826530Z     x = self.layers(x)
2025-10-10T00:52:57.7826775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7826844Z     x = self.blocks(x)
2025-10-10T00:52:57.7827082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7827206Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7827439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7827645Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7827912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7828086Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7828098Z 
2025-10-10T00:52:57.7828209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7828414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7828492Z     return mod(*inputs)
2025-10-10T00:52:57.7828728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7828815Z     x = self.forward_features(x)
2025-10-10T00:52:57.7829084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7829153Z     x = self.layers(x)
2025-10-10T00:52:57.7829410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7829478Z     x = self.blocks(x)
2025-10-10T00:52:57.7829721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7829820Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7830052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7830230Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7830464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7830621Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7830625Z 
2025-10-10T00:52:57.7830743Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7830945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7831014Z     return mod(*inputs)
2025-10-10T00:52:57.7831236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7831315Z     x = self.forward_features(x)
2025-10-10T00:52:57.7831561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7831633Z     x = self.layers(x)
2025-10-10T00:52:57.7831852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7831967Z     x = self.blocks(x)
2025-10-10T00:52:57.7832208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7832307Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7832545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7832749Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7832983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7833070Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7833074Z 
2025-10-10T00:52:57.7833183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7833400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7833474Z     return mod(*inputs)
2025-10-10T00:52:57.7833722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7833799Z     x = self.forward_features(x)
2025-10-10T00:52:57.7834059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7834133Z     x = self.layers(x)
2025-10-10T00:52:57.7834355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7834428Z     x = self.blocks(x)
2025-10-10T00:52:57.7834646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7834739Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7834965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7835126Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7835365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7835444Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7835449Z 
2025-10-10T00:52:57.7835556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7835771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7835842Z     return mod(*inputs)
2025-10-10T00:52:57.7836084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7836160Z     x = self.forward_features(x)
2025-10-10T00:52:57.7836425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7836496Z     x = self.layers(x)
2025-10-10T00:52:57.7836727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7836804Z     x = self.blocks(x)
2025-10-10T00:52:57.7837036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7837138Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7837376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7837534Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7837762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7837837Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7837840Z 
2025-10-10T00:52:57.7837950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7838181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7838256Z     return mod(*inputs)
2025-10-10T00:52:57.7838475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7838546Z     x = self.forward_features(x)
2025-10-10T00:52:57.7838828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7838894Z     x = self.layers(x)
2025-10-10T00:52:57.7839125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7839191Z     x = self.blocks(x)
2025-10-10T00:52:57.7839412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7839513Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7839738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7839904Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7840128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7840192Z     x = attn @ v
2025-10-10T00:52:57.7840195Z 
2025-10-10T00:52:57.7840310Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7840507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7840583Z     return mod(*inputs)
2025-10-10T00:52:57.7840805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7840879Z     x = self.forward_features(x)
2025-10-10T00:52:57.7841135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7841204Z     x = self.layers(x)
2025-10-10T00:52:57.7841433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7841498Z     x = self.blocks(x)
2025-10-10T00:52:57.7841725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7841821Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7842042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7842209Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7842431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7842505Z     x = attn @ v
2025-10-10T00:52:57.7842508Z 
2025-10-10T00:52:57.7842611Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7842808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7842882Z     return mod(*inputs)
2025-10-10T00:52:57.7843104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7843186Z     x = self.forward_features(x)
2025-10-10T00:52:57.7843444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7843511Z     x = self.layers(x)
2025-10-10T00:52:57.7843754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7843821Z     x = self.blocks(x)
2025-10-10T00:52:57.7844063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7844214Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7844458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7844629Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7844902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7845006Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7845010Z 
2025-10-10T00:52:57.7845121Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7845342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7845415Z     return mod(*inputs)
2025-10-10T00:52:57.7845654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7845743Z     x = self.forward_features(x)
2025-10-10T00:52:57.7846011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7846089Z     x = self.layers(x)
2025-10-10T00:52:57.7846322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7846394Z     x = self.blocks(x)
2025-10-10T00:52:57.7846618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7846710Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7846938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7847095Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7847332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7847407Z     x = self.proj(x)
2025-10-10T00:52:57.7847411Z 
2025-10-10T00:52:57.7847524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7847746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7847820Z     return mod(*inputs)
2025-10-10T00:52:57.7848068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7848145Z     x = self.forward_features(x)
2025-10-10T00:52:57.7848411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7848489Z     x = self.layers(x)
2025-10-10T00:52:57.7848729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7848809Z     x = self.blocks(x)
2025-10-10T00:52:57.7849047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7849157Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7849361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7849432Z     x = self.fc1(x)
2025-10-10T00:52:57.7849436Z 
2025-10-10T00:52:57.7849561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7849774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7849855Z     return mod(*inputs)
2025-10-10T00:52:57.7850096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7850175Z     x = self.forward_features(x)
2025-10-10T00:52:57.7850451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7850562Z     x = self.layers(x)
2025-10-10T00:52:57.7850812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7850883Z     x = self.blocks(x)
2025-10-10T00:52:57.7851124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7851282Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7851491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7851568Z     x = self.act(x)
2025-10-10T00:52:57.7851572Z 
2025-10-10T00:52:57.7851683Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7851897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7851978Z     return mod(*inputs)
2025-10-10T00:52:57.7852223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7852311Z     x = self.forward_features(x)
2025-10-10T00:52:57.7852577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7852656Z     x = self.layers(x)
2025-10-10T00:52:57.7852898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7852970Z     x = self.blocks(x)
2025-10-10T00:52:57.7853219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7853319Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7853530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7853601Z     x = self.fc2(x)
2025-10-10T00:52:57.7853608Z 
2025-10-10T00:52:57.7853721Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7853944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7854019Z     return mod(*inputs)
2025-10-10T00:52:57.7854265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7854345Z     x = self.forward_features(x)
2025-10-10T00:52:57.7854615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7854694Z     x = self.layers(x)
2025-10-10T00:52:57.7854934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7855012Z     x = self.blocks(x)
2025-10-10T00:52:57.7855250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7855355Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7855600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7855804Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7856083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7856262Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7856266Z 
2025-10-10T00:52:57.7856386Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7856598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7856672Z     return mod(*inputs)
2025-10-10T00:52:57.7856921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7857038Z     x = self.forward_features(x)
2025-10-10T00:52:57.7857312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7857383Z     x = self.layers(x)
2025-10-10T00:52:57.7857629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7857732Z     x = self.blocks(x)
2025-10-10T00:52:57.7857973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7858081Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7858319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7858498Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7858739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7858892Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7858897Z 
2025-10-10T00:52:57.7859018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7859233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7859316Z     return mod(*inputs)
2025-10-10T00:52:57.7859558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7859635Z     x = self.forward_features(x)
2025-10-10T00:52:57.7859909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7859977Z     x = self.layers(x)
2025-10-10T00:52:57.7860224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7860298Z     x = self.blocks(x)
2025-10-10T00:52:57.7860544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7860642Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7860877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7861062Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7861301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7861391Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7861394Z 
2025-10-10T00:52:57.7861507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7861723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7861806Z     return mod(*inputs)
2025-10-10T00:52:57.7862049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7862135Z     x = self.forward_features(x)
2025-10-10T00:52:57.7862712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7862790Z     x = self.layers(x)
2025-10-10T00:52:57.7863048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7863121Z     x = self.blocks(x)
2025-10-10T00:52:57.7863370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7863472Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7863728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7863954Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7864198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7864290Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7864295Z 
2025-10-10T00:52:57.7864410Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7864670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7864747Z     return mod(*inputs)
2025-10-10T00:52:57.7864991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7865082Z     x = self.forward_features(x)
2025-10-10T00:52:57.7865348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7865428Z     x = self.layers(x)
2025-10-10T00:52:57.7865672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7865747Z     x = self.blocks(x)
2025-10-10T00:52:57.7865980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7866079Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7866328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7866502Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7866749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7866830Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7866834Z 
2025-10-10T00:52:57.7866947Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7867171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7867244Z     return mod(*inputs)
2025-10-10T00:52:57.7867494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7867582Z     x = self.forward_features(x)
2025-10-10T00:52:57.7867843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7867919Z     x = self.layers(x)
2025-10-10T00:52:57.7868150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7868226Z     x = self.blocks(x)
2025-10-10T00:52:57.7868457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7868561Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7868795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7868964Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7869208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7869274Z     x = attn @ v
2025-10-10T00:52:57.7869281Z 
2025-10-10T00:52:57.7869398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7869612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7869684Z     return mod(*inputs)
2025-10-10T00:52:57.7869930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7870010Z     x = self.forward_features(x)
2025-10-10T00:52:57.7870328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7870398Z     x = self.layers(x)
2025-10-10T00:52:57.7870628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7870704Z     x = self.blocks(x)
2025-10-10T00:52:57.7870967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7871075Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7871306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7871482Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7871714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7871784Z     x = attn @ v
2025-10-10T00:52:57.7871788Z 
2025-10-10T00:52:57.7871905Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7872113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7872193Z     return mod(*inputs)
2025-10-10T00:52:57.7872425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7872503Z     x = self.forward_features(x)
2025-10-10T00:52:57.7872772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7872838Z     x = self.layers(x)
2025-10-10T00:52:57.7873076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7873145Z     x = self.blocks(x)
2025-10-10T00:52:57.7873379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7873487Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7873718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7873892Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7874128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7874226Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7874230Z 
2025-10-10T00:52:57.7874340Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7874546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7874625Z     return mod(*inputs)
2025-10-10T00:52:57.7874857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7874945Z     x = self.forward_features(x)
2025-10-10T00:52:57.7875205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7875273Z     x = self.layers(x)
2025-10-10T00:52:57.7875515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7875583Z     x = self.blocks(x)
2025-10-10T00:52:57.7875826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7875926Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7876164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7876343Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7876630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7876710Z     x = self.proj(x)
2025-10-10T00:52:57.7876714Z 
2025-10-10T00:52:57.7876823Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7877045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7877116Z     return mod(*inputs)
2025-10-10T00:52:57.7877393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7877479Z     x = self.forward_features(x)
2025-10-10T00:52:57.7877736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7877813Z     x = self.layers(x)
2025-10-10T00:52:57.7878043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7878115Z     x = self.blocks(x)
2025-10-10T00:52:57.7878354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7878455Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7878662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7878729Z     x = self.fc1(x)
2025-10-10T00:52:57.7878733Z 
2025-10-10T00:52:57.7878846Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7879063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7879134Z     return mod(*inputs)
2025-10-10T00:52:57.7879375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7879452Z     x = self.forward_features(x)
2025-10-10T00:52:57.7879718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7879792Z     x = self.layers(x)
2025-10-10T00:52:57.7880023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7880101Z     x = self.blocks(x)
2025-10-10T00:52:57.7880335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7880444Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7880643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7880712Z     x = self.act(x)
2025-10-10T00:52:57.7880715Z 
2025-10-10T00:52:57.7880834Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7881041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7881118Z     return mod(*inputs)
2025-10-10T00:52:57.7881355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7881430Z     x = self.forward_features(x)
2025-10-10T00:52:57.7881696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7881764Z     x = self.layers(x)
2025-10-10T00:52:57.7882003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7882071Z     x = self.blocks(x)
2025-10-10T00:52:57.7882299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7882405Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7882601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7882675Z     x = self.fc2(x)
2025-10-10T00:52:57.7882714Z 
2025-10-10T00:52:57.7882827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7883040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7883111Z     return mod(*inputs)
2025-10-10T00:52:57.7883345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7883429Z     x = self.forward_features(x)
2025-10-10T00:52:57.7883721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7883801Z     x = self.layers(x)
2025-10-10T00:52:57.7884035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7884103Z     x = self.blocks(x)
2025-10-10T00:52:57.7884349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7884452Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7884456Z 
2025-10-10T00:52:57.7884579Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7884793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7884866Z     return mod(*inputs)
2025-10-10T00:52:57.7885123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7885199Z     x = self.forward_features(x)
2025-10-10T00:52:57.7885467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7885536Z     x = self.layers(x)
2025-10-10T00:52:57.7885782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7885850Z     x = self.blocks(x)
2025-10-10T00:52:57.7886090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7886199Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7886432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7886636Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7886902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7887072Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7887084Z 
2025-10-10T00:52:57.7887198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7887404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7887484Z     return mod(*inputs)
2025-10-10T00:52:57.7887725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7887813Z     x = self.forward_features(x)
2025-10-10T00:52:57.7888082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7888152Z     x = self.layers(x)
2025-10-10T00:52:57.7888414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7888482Z     x = self.blocks(x)
2025-10-10T00:52:57.7888720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7888817Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7889051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7889270Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7890019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7890178Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7890182Z 
2025-10-10T00:52:57.7890294Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7890545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7890617Z     return mod(*inputs)
2025-10-10T00:52:57.7890854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7890943Z     x = self.forward_features(x)
2025-10-10T00:52:57.7891214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7891296Z     x = self.layers(x)
2025-10-10T00:52:57.7891538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7891609Z     x = self.blocks(x)
2025-10-10T00:52:57.7891857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7891956Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7892206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7892382Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7892630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7892712Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7892715Z 
2025-10-10T00:52:57.7892830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7893055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7893128Z     return mod(*inputs)
2025-10-10T00:52:57.7893376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7893457Z     x = self.forward_features(x)
2025-10-10T00:52:57.7893727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7893806Z     x = self.layers(x)
2025-10-10T00:52:57.7894048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7894127Z     x = self.blocks(x)
2025-10-10T00:52:57.7894367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7894467Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7894718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7894892Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7895143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7895224Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7895230Z 
2025-10-10T00:52:57.7895349Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7895565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7895638Z     return mod(*inputs)
2025-10-10T00:52:57.7895890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7895969Z     x = self.forward_features(x)
2025-10-10T00:52:57.7896283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7896352Z     x = self.layers(x)
2025-10-10T00:52:57.7896594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7896670Z     x = self.blocks(x)
2025-10-10T00:52:57.7896941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7897051Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7897291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7897465Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7897714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7897797Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7897801Z 
2025-10-10T00:52:57.7897920Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7898135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7898216Z     return mod(*inputs)
2025-10-10T00:52:57.7898457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7898537Z     x = self.forward_features(x)
2025-10-10T00:52:57.7898817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7898887Z     x = self.layers(x)
2025-10-10T00:52:57.7899135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7899205Z     x = self.blocks(x)
2025-10-10T00:52:57.7899443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7899554Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7899791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7899972Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7900214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7900283Z     x = attn @ v
2025-10-10T00:52:57.7900293Z 
2025-10-10T00:52:57.7900409Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7900625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7900707Z     return mod(*inputs)
2025-10-10T00:52:57.7900948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7901037Z     x = self.forward_features(x)
2025-10-10T00:52:57.7901305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7901376Z     x = self.layers(x)
2025-10-10T00:52:57.7901626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7901696Z     x = self.blocks(x)
2025-10-10T00:52:57.7901945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7902045Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7902284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7902550Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7902863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7902942Z     x = attn @ v
2025-10-10T00:52:57.7902946Z 
2025-10-10T00:52:57.7903064Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7903287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7903362Z     return mod(*inputs)
2025-10-10T00:52:57.7903640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7903733Z     x = self.forward_features(x)
2025-10-10T00:52:57.7904004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7904085Z     x = self.layers(x)
2025-10-10T00:52:57.7904326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7904400Z     x = self.blocks(x)
2025-10-10T00:52:57.7904648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7904749Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7904998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7905176Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7905421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7905524Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7905528Z 
2025-10-10T00:52:57.7905643Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7905865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7905938Z     return mod(*inputs)
2025-10-10T00:52:57.7906189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7906268Z     x = self.forward_features(x)
2025-10-10T00:52:57.7906537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7906617Z     x = self.layers(x)
2025-10-10T00:52:57.7906860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7906940Z     x = self.blocks(x)
2025-10-10T00:52:57.7907181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7907281Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7907528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7907707Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7907955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7908028Z     x = self.proj(x)
2025-10-10T00:52:57.7908032Z 
2025-10-10T00:52:57.7908145Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7908373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7908447Z     return mod(*inputs)
2025-10-10T00:52:57.7908697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7908777Z     x = self.forward_features(x)
2025-10-10T00:52:57.7909052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7909124Z     x = self.layers(x)
2025-10-10T00:52:57.7909407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7909485Z     x = self.blocks(x)
2025-10-10T00:52:57.7909720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7909824Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7910064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7910135Z     x = self.fc1(x)
2025-10-10T00:52:57.7910139Z 
2025-10-10T00:52:57.7910262Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7910475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7910565Z     return mod(*inputs)
2025-10-10T00:52:57.7910804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7910885Z     x = self.forward_features(x)
2025-10-10T00:52:57.7911151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7911225Z     x = self.layers(x)
2025-10-10T00:52:57.7911468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7911535Z     x = self.blocks(x)
2025-10-10T00:52:57.7911770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7911876Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7912080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7912156Z     x = self.act(x)
2025-10-10T00:52:57.7912159Z 
2025-10-10T00:52:57.7912270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7912483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7912557Z     return mod(*inputs)
2025-10-10T00:52:57.7912915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7913011Z     x = self.forward_features(x)
2025-10-10T00:52:57.7913280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7913363Z     x = self.layers(x)
2025-10-10T00:52:57.7913603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7913673Z     x = self.blocks(x)
2025-10-10T00:52:57.7913920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7914019Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7914232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7914303Z     x = self.fc2(x)
2025-10-10T00:52:57.7914306Z 
2025-10-10T00:52:57.7914421Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7914644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7914717Z     return mod(*inputs)
2025-10-10T00:52:57.7914978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7915062Z     x = self.forward_features(x)
2025-10-10T00:52:57.7915312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7915387Z     x = self.layers(x)
2025-10-10T00:52:57.7915611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7915686Z     x = self.blocks(x)
2025-10-10T00:52:57.7915974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7916075Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7916312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7916519Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7916845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7917025Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7917029Z 
2025-10-10T00:52:57.7917155Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7917373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7917457Z     return mod(*inputs)
2025-10-10T00:52:57.7917699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7917780Z     x = self.forward_features(x)
2025-10-10T00:52:57.7918055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7918126Z     x = self.layers(x)
2025-10-10T00:52:57.7918378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7918443Z     x = self.blocks(x)
2025-10-10T00:52:57.7918661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7918760Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7918979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7919151Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7919370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7919517Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7919528Z 
2025-10-10T00:52:57.7919637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7919848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7919927Z     return mod(*inputs)
2025-10-10T00:52:57.7920161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7920246Z     x = self.forward_features(x)
2025-10-10T00:52:57.7920506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7920579Z     x = self.layers(x)
2025-10-10T00:52:57.7920820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7920887Z     x = self.blocks(x)
2025-10-10T00:52:57.7921128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7921226Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7921461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7921641Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7921873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7921963Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7921966Z 
2025-10-10T00:52:57.7922112Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7922327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7922398Z     return mod(*inputs)
2025-10-10T00:52:57.7922632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7922714Z     x = self.forward_features(x)
2025-10-10T00:52:57.7923006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7923084Z     x = self.layers(x)
2025-10-10T00:52:57.7923321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7923389Z     x = self.blocks(x)
2025-10-10T00:52:57.7923634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7923732Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7923977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7924150Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7924385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7924476Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7924480Z 
2025-10-10T00:52:57.7924591Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7924808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7924880Z     return mod(*inputs)
2025-10-10T00:52:57.7925125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7925201Z     x = self.forward_features(x)
2025-10-10T00:52:57.7925466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7925543Z     x = self.layers(x)
2025-10-10T00:52:57.7925779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7925854Z     x = self.blocks(x)
2025-10-10T00:52:57.7926093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7926191Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7926435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7926604Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7926845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7926927Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7926931Z 
2025-10-10T00:52:57.7927042Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7927258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7927328Z     return mod(*inputs)
2025-10-10T00:52:57.7927571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7927648Z     x = self.forward_features(x)
2025-10-10T00:52:57.7927913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7927982Z     x = self.layers(x)
2025-10-10T00:52:57.7928215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7928291Z     x = self.blocks(x)
2025-10-10T00:52:57.7928527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7928684Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7928917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7929085Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7929369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7929439Z     x = attn @ v
2025-10-10T00:52:57.7929443Z 
2025-10-10T00:52:57.7929562Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7929770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7929841Z     return mod(*inputs)
2025-10-10T00:52:57.7930085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7930164Z     x = self.forward_features(x)
2025-10-10T00:52:57.7930434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7930503Z     x = self.layers(x)
2025-10-10T00:52:57.7930754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7930827Z     x = self.blocks(x)
2025-10-10T00:52:57.7931075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7931183Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7931418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7931594Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7931832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7931899Z     x = attn @ v
2025-10-10T00:52:57.7931902Z 
2025-10-10T00:52:57.7932021Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7932229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7932307Z     return mod(*inputs)
2025-10-10T00:52:57.7932543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7932618Z     x = self.forward_features(x)
2025-10-10T00:52:57.7932888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7932956Z     x = self.layers(x)
2025-10-10T00:52:57.7933197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7933267Z     x = self.blocks(x)
2025-10-10T00:52:57.7933507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7933607Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7933840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7934021Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7934255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7934354Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7934358Z 
2025-10-10T00:52:57.7934468Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7934676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7934794Z     return mod(*inputs)
2025-10-10T00:52:57.7935031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7935116Z     x = self.forward_features(x)
2025-10-10T00:52:57.7935381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7935450Z     x = self.layers(x)
2025-10-10T00:52:57.7935727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7935797Z     x = self.blocks(x)
2025-10-10T00:52:57.7936042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7936140Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7936388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7936563Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7936808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7936890Z     x = self.proj(x)
2025-10-10T00:52:57.7936894Z 
2025-10-10T00:52:57.7937006Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7937234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7937307Z     return mod(*inputs)
2025-10-10T00:52:57.7937551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7937641Z     x = self.forward_features(x)
2025-10-10T00:52:57.7937913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7937992Z     x = self.layers(x)
2025-10-10T00:52:57.7938241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7938312Z     x = self.blocks(x)
2025-10-10T00:52:57.7938563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7938666Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7938889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7938959Z     x = self.fc1(x)
2025-10-10T00:52:57.7938963Z 
2025-10-10T00:52:57.7939081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7939297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7939370Z     return mod(*inputs)
2025-10-10T00:52:57.7939622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7939706Z     x = self.forward_features(x)
2025-10-10T00:52:57.7939985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7940056Z     x = self.layers(x)
2025-10-10T00:52:57.7940300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7940379Z     x = self.blocks(x)
2025-10-10T00:52:57.7940625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7940734Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7940946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7941018Z     x = self.act(x)
2025-10-10T00:52:57.7941022Z 
2025-10-10T00:52:57.7941142Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7941397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7941477Z     return mod(*inputs)
2025-10-10T00:52:57.7941720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7941799Z     x = self.forward_features(x)
2025-10-10T00:52:57.7942073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7942174Z     x = self.layers(x)
2025-10-10T00:52:57.7942493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7942570Z     x = self.blocks(x)
2025-10-10T00:52:57.7942820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7942921Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7943133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7943221Z     x = self.fc2(x)
2025-10-10T00:52:57.7943226Z 
2025-10-10T00:52:57.7943341Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7943568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7943641Z     return mod(*inputs)
2025-10-10T00:52:57.7943891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7943981Z     x = self.forward_features(x)
2025-10-10T00:52:57.7944257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7944335Z     x = self.layers(x)
2025-10-10T00:52:57.7944583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7944654Z     x = self.blocks(x)
2025-10-10T00:52:57.7944916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7945018Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7945022Z 
2025-10-10T00:52:57.7945146Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7945365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7945450Z     return mod(*inputs)
2025-10-10T00:52:57.7945697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7945776Z     x = self.forward_features(x)
2025-10-10T00:52:57.7946065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7946136Z     x = self.layers(x)
2025-10-10T00:52:57.7946391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7946464Z     x = self.blocks(x)
2025-10-10T00:52:57.7946710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7946820Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7947066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7947280Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7947556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7947735Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7947746Z 
2025-10-10T00:52:57.7947859Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7948133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7948214Z     return mod(*inputs)
2025-10-10T00:52:57.7948458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7948542Z     x = self.forward_features(x)
2025-10-10T00:52:57.7948849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7948923Z     x = self.layers(x)
2025-10-10T00:52:57.7949170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7949242Z     x = self.blocks(x)
2025-10-10T00:52:57.7949489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7949592Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7949841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7950028Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7950278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7950440Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7950447Z 
2025-10-10T00:52:57.7950563Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7950789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7950862Z     return mod(*inputs)
2025-10-10T00:52:57.7951107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7951194Z     x = self.forward_features(x)
2025-10-10T00:52:57.7951471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7951549Z     x = self.layers(x)
2025-10-10T00:52:57.7951796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7951866Z     x = self.blocks(x)
2025-10-10T00:52:57.7952124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7952226Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7952479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7952658Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7952908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7952997Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7953000Z 
2025-10-10T00:52:57.7953117Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7953341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7953417Z     return mod(*inputs)
2025-10-10T00:52:57.7953668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7953748Z     x = self.forward_features(x)
2025-10-10T00:52:57.7954019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7954099Z     x = self.layers(x)
2025-10-10T00:52:57.7954343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7954423Z     x = self.blocks(x)
2025-10-10T00:52:57.7954666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7954805Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7955056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7955236Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7955566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7955649Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7955653Z 
2025-10-10T00:52:57.7955771Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7955980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7956052Z     return mod(*inputs)
2025-10-10T00:52:57.7956295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7956376Z     x = self.forward_features(x)
2025-10-10T00:52:57.7956646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7956715Z     x = self.layers(x)
2025-10-10T00:52:57.7956950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7957033Z     x = self.blocks(x)
2025-10-10T00:52:57.7957266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7957373Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7957605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7957774Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7958021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7958101Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7958105Z 
2025-10-10T00:52:57.7958229Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7958445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7958530Z     return mod(*inputs)
2025-10-10T00:52:57.7958776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7958856Z     x = self.forward_features(x)
2025-10-10T00:52:57.7959138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7959209Z     x = self.layers(x)
2025-10-10T00:52:57.7959460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7959532Z     x = self.blocks(x)
2025-10-10T00:52:57.7959776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7959887Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7960127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7960322Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7960563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7960630Z     x = attn @ v
2025-10-10T00:52:57.7960642Z 
2025-10-10T00:52:57.7960751Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7960959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7961086Z     return mod(*inputs)
2025-10-10T00:52:57.7961326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7961411Z     x = self.forward_features(x)
2025-10-10T00:52:57.7961680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7961748Z     x = self.layers(x)
2025-10-10T00:52:57.7962032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7962103Z     x = self.blocks(x)
2025-10-10T00:52:57.7962343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7962441Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7962672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7962851Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7963084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7963157Z     x = attn @ v
2025-10-10T00:52:57.7963161Z 
2025-10-10T00:52:57.7963269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7963489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7963560Z     return mod(*inputs)
2025-10-10T00:52:57.7963792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7963875Z     x = self.forward_features(x)
2025-10-10T00:52:57.7964136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7964211Z     x = self.layers(x)
2025-10-10T00:52:57.7964445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7964512Z     x = self.blocks(x)
2025-10-10T00:52:57.7964751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7964850Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7965091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7965259Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7965490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7965589Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7965594Z 
2025-10-10T00:52:57.7965703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7965924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7965995Z     return mod(*inputs)
2025-10-10T00:52:57.7966235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7966312Z     x = self.forward_features(x)
2025-10-10T00:52:57.7966574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7966651Z     x = self.layers(x)
2025-10-10T00:52:57.7966883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7966959Z     x = self.blocks(x)
2025-10-10T00:52:57.7967193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7967290Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7967568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7967735Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7967977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7968047Z     x = self.proj(x)
2025-10-10T00:52:57.7968051Z 
2025-10-10T00:52:57.7968197Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7968416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7968487Z     return mod(*inputs)
2025-10-10T00:52:57.7968734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7968812Z     x = self.forward_features(x)
2025-10-10T00:52:57.7969078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7969149Z     x = self.layers(x)
2025-10-10T00:52:57.7969382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7969459Z     x = self.blocks(x)
2025-10-10T00:52:57.7969691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7969802Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7970002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7970069Z     x = self.fc1(x)
2025-10-10T00:52:57.7970073Z 
2025-10-10T00:52:57.7970190Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7970396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7970476Z     return mod(*inputs)
2025-10-10T00:52:57.7970712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7970788Z     x = self.forward_features(x)
2025-10-10T00:52:57.7971057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7971125Z     x = self.layers(x)
2025-10-10T00:52:57.7971364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7971438Z     x = self.blocks(x)
2025-10-10T00:52:57.7971668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7971772Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7971972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.7972046Z     x = self.act(x)
2025-10-10T00:52:57.7972052Z 
2025-10-10T00:52:57.7972161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7972379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7972454Z     return mod(*inputs)
2025-10-10T00:52:57.7972692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7972790Z     x = self.forward_features(x)
2025-10-10T00:52:57.7973048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7973124Z     x = self.layers(x)
2025-10-10T00:52:57.7973354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7973421Z     x = self.blocks(x)
2025-10-10T00:52:57.7973660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7973798Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7974001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.7974070Z     x = self.fc2(x)
2025-10-10T00:52:57.7974074Z 
2025-10-10T00:52:57.7974182Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7974396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7974507Z     return mod(*inputs)
2025-10-10T00:52:57.7974750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7974835Z     x = self.forward_features(x)
2025-10-10T00:52:57.7975079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7975154Z     x = self.layers(x)
2025-10-10T00:52:57.7975371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7975449Z     x = self.blocks(x)
2025-10-10T00:52:57.7975667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7975769Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7975989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.7976192Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.7976470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.7976644Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.7976648Z 
2025-10-10T00:52:57.7976772Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7976988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7977060Z     return mod(*inputs)
2025-10-10T00:52:57.7977307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7977386Z     x = self.forward_features(x)
2025-10-10T00:52:57.7977663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7977733Z     x = self.layers(x)
2025-10-10T00:52:57.7977977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7978047Z     x = self.blocks(x)
2025-10-10T00:52:57.7978284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7978393Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7978632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7978812Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7979050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.7979207Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.7979219Z 
2025-10-10T00:52:57.7979332Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7979545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7979624Z     return mod(*inputs)
2025-10-10T00:52:57.7979862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7979947Z     x = self.forward_features(x)
2025-10-10T00:52:57.7980252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7980323Z     x = self.layers(x)
2025-10-10T00:52:57.7980574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7980644Z     x = self.blocks(x)
2025-10-10T00:52:57.7980925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7981027Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7981265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7981449Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7981691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7981781Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7981785Z 
2025-10-10T00:52:57.7981898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7982114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7982194Z     return mod(*inputs)
2025-10-10T00:52:57.7982517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7982611Z     x = self.forward_features(x)
2025-10-10T00:52:57.7982885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7982965Z     x = self.layers(x)
2025-10-10T00:52:57.7983206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7983277Z     x = self.blocks(x)
2025-10-10T00:52:57.7983528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7983634Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7983884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7984063Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7984316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7984405Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7984409Z 
2025-10-10T00:52:57.7984519Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7984737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7984810Z     return mod(*inputs)
2025-10-10T00:52:57.7985045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7985135Z     x = self.forward_features(x)
2025-10-10T00:52:57.7985395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7985472Z     x = self.layers(x)
2025-10-10T00:52:57.7985712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7985794Z     x = self.blocks(x)
2025-10-10T00:52:57.7986028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7986129Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7986376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7986548Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7986838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.7986923Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.7986927Z 
2025-10-10T00:52:57.7987043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7987266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7987343Z     return mod(*inputs)
2025-10-10T00:52:57.7987630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7987711Z     x = self.forward_features(x)
2025-10-10T00:52:57.7987988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7988059Z     x = self.layers(x)
2025-10-10T00:52:57.7988306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7988387Z     x = self.blocks(x)
2025-10-10T00:52:57.7988622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7988731Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7988963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7989135Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7989384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7989452Z     x = attn @ v
2025-10-10T00:52:57.7989456Z 
2025-10-10T00:52:57.7989576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7989793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7989868Z     return mod(*inputs)
2025-10-10T00:52:57.7990117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7990196Z     x = self.forward_features(x)
2025-10-10T00:52:57.7990474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7990543Z     x = self.layers(x)
2025-10-10T00:52:57.7990790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7990867Z     x = self.blocks(x)
2025-10-10T00:52:57.7991110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7991218Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7991462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7991648Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7991899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.7991966Z     x = attn @ v
2025-10-10T00:52:57.7991970Z 
2025-10-10T00:52:57.7992096Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7992313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7992393Z     return mod(*inputs)
2025-10-10T00:52:57.7992636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7992713Z     x = self.forward_features(x)
2025-10-10T00:52:57.7992998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7993068Z     x = self.layers(x)
2025-10-10T00:52:57.7993353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7993421Z     x = self.blocks(x)
2025-10-10T00:52:57.7993659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7993764Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7994035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7994217Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7994456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.7994555Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.7994559Z 
2025-10-10T00:52:57.7994670Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7994885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7994965Z     return mod(*inputs)
2025-10-10T00:52:57.7995206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7995293Z     x = self.forward_features(x)
2025-10-10T00:52:57.7995564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7995634Z     x = self.layers(x)
2025-10-10T00:52:57.7995881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7995950Z     x = self.blocks(x)
2025-10-10T00:52:57.7996196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.7996296Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.7996545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.7996717Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.7996958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.7997039Z     x = self.proj(x)
2025-10-10T00:52:57.7997042Z 
2025-10-10T00:52:57.7997157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7997381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7997455Z     return mod(*inputs)
2025-10-10T00:52:57.7997695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7997782Z     x = self.forward_features(x)
2025-10-10T00:52:57.7998048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.7998130Z     x = self.layers(x)
2025-10-10T00:52:57.7998369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.7998439Z     x = self.blocks(x)
2025-10-10T00:52:57.7998687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.7998791Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.7999006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.7999077Z     x = self.fc1(x)
2025-10-10T00:52:57.7999080Z 
2025-10-10T00:52:57.7999200Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.7999415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.7999486Z     return mod(*inputs)
2025-10-10T00:52:57.7999780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.7999859Z     x = self.forward_features(x)
2025-10-10T00:52:57.8000132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8000203Z     x = self.layers(x)
2025-10-10T00:52:57.8000474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8000554Z     x = self.blocks(x)
2025-10-10T00:52:57.8000793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8000902Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8001111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8001179Z     x = self.act(x)
2025-10-10T00:52:57.8001185Z 
2025-10-10T00:52:57.8001308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8001519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8001598Z     return mod(*inputs)
2025-10-10T00:52:57.8001837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8001915Z     x = self.forward_features(x)
2025-10-10T00:52:57.8002201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8002270Z     x = self.layers(x)
2025-10-10T00:52:57.8002509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8002576Z     x = self.blocks(x)
2025-10-10T00:52:57.8002815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8002917Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8003123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8003200Z     x = self.fc2(x)
2025-10-10T00:52:57.8003204Z 
2025-10-10T00:52:57.8003316Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8003542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8003615Z     return mod(*inputs)
2025-10-10T00:52:57.8003855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8003941Z     x = self.forward_features(x)
2025-10-10T00:52:57.8004217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8004291Z     x = self.layers(x)
2025-10-10T00:52:57.8004523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8004594Z     x = self.blocks(x)
2025-10-10T00:52:57.8004834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8004929Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8004933Z 
2025-10-10T00:52:57.8005050Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8005260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8005339Z     return mod(*inputs)
2025-10-10T00:52:57.8005573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8005650Z     x = self.forward_features(x)
2025-10-10T00:52:57.8005914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8006020Z     x = self.layers(x)
2025-10-10T00:52:57.8006283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8006353Z     x = self.blocks(x)
2025-10-10T00:52:57.8006602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8006713Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8006991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8007203Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8007471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8007648Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8007664Z 
2025-10-10T00:52:57.8007777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8007990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8008071Z     return mod(*inputs)
2025-10-10T00:52:57.8008312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8008399Z     x = self.forward_features(x)
2025-10-10T00:52:57.8008667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8008747Z     x = self.layers(x)
2025-10-10T00:52:57.8008981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8009047Z     x = self.blocks(x)
2025-10-10T00:52:57.8009281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8009379Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8009606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8009778Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8010005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8010155Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8010159Z 
2025-10-10T00:52:57.8010265Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8010475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8010542Z     return mod(*inputs)
2025-10-10T00:52:57.8010768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8010853Z     x = self.forward_features(x)
2025-10-10T00:52:57.8011112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8011186Z     x = self.layers(x)
2025-10-10T00:52:57.8011419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8011491Z     x = self.blocks(x)
2025-10-10T00:52:57.8011731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8011829Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8012066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8012234Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8012502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8012591Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8012595Z 
2025-10-10T00:52:57.8012705Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8013178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8013260Z     return mod(*inputs)
2025-10-10T00:52:57.8013579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8013661Z     x = self.forward_features(x)
2025-10-10T00:52:57.8013928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8014009Z     x = self.layers(x)
2025-10-10T00:52:57.8014248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8014330Z     x = self.blocks(x)
2025-10-10T00:52:57.8014570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8014671Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8014918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8015105Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8015348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8015430Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8015434Z 
2025-10-10T00:52:57.8015553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8015762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8015837Z     return mod(*inputs)
2025-10-10T00:52:57.8016078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8016155Z     x = self.forward_features(x)
2025-10-10T00:52:57.8016423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8016495Z     x = self.layers(x)
2025-10-10T00:52:57.8016731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8016810Z     x = self.blocks(x)
2025-10-10T00:52:57.8017048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8017158Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8017397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8017573Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8017823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8017904Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8017908Z 
2025-10-10T00:52:57.8018029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8018247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8018327Z     return mod(*inputs)
2025-10-10T00:52:57.8018565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8018645Z     x = self.forward_features(x)
2025-10-10T00:52:57.8018918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8019039Z     x = self.layers(x)
2025-10-10T00:52:57.8019289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8019359Z     x = self.blocks(x)
2025-10-10T00:52:57.8019599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8019708Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8019983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8020170Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8020414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8020482Z     x = attn @ v
2025-10-10T00:52:57.8020492Z 
2025-10-10T00:52:57.8020607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8020825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8020905Z     return mod(*inputs)
2025-10-10T00:52:57.8021150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8021235Z     x = self.forward_features(x)
2025-10-10T00:52:57.8021511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8021582Z     x = self.layers(x)
2025-10-10T00:52:57.8021838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8021908Z     x = self.blocks(x)
2025-10-10T00:52:57.8022162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8022265Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8022572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8022761Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8023006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8023081Z     x = attn @ v
2025-10-10T00:52:57.8023085Z 
2025-10-10T00:52:57.8023203Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8023421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8023502Z     return mod(*inputs)
2025-10-10T00:52:57.8023743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8023826Z     x = self.forward_features(x)
2025-10-10T00:52:57.8024096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8024176Z     x = self.layers(x)
2025-10-10T00:52:57.8024428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8024499Z     x = self.blocks(x)
2025-10-10T00:52:57.8024749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8024853Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8025102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8025273Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8025517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8025623Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8025679Z 
2025-10-10T00:52:57.8025794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8026016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8026092Z     return mod(*inputs)
2025-10-10T00:52:57.8026334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8026420Z     x = self.forward_features(x)
2025-10-10T00:52:57.8026864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8026959Z     x = self.layers(x)
2025-10-10T00:52:57.8027202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8027281Z     x = self.blocks(x)
2025-10-10T00:52:57.8027520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8027626Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8027874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8028049Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8028300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8028372Z     x = self.proj(x)
2025-10-10T00:52:57.8028377Z 
2025-10-10T00:52:57.8028492Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8028717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8028792Z     return mod(*inputs)
2025-10-10T00:52:57.8029044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8029127Z     x = self.forward_features(x)
2025-10-10T00:52:57.8029396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8029479Z     x = self.layers(x)
2025-10-10T00:52:57.8029718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8029797Z     x = self.blocks(x)
2025-10-10T00:52:57.8030041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8030154Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8030365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8030437Z     x = self.fc1(x)
2025-10-10T00:52:57.8030440Z 
2025-10-10T00:52:57.8030563Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8030780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8030864Z     return mod(*inputs)
2025-10-10T00:52:57.8031114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8031191Z     x = self.forward_features(x)
2025-10-10T00:52:57.8031461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8031531Z     x = self.layers(x)
2025-10-10T00:52:57.8031770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8031839Z     x = self.blocks(x)
2025-10-10T00:52:57.8032070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8032191Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8032393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8032515Z     x = self.act(x)
2025-10-10T00:52:57.8032519Z 
2025-10-10T00:52:57.8032621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8032818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8032883Z     return mod(*inputs)
2025-10-10T00:52:57.8033135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8033216Z     x = self.forward_features(x)
2025-10-10T00:52:57.8033455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8033526Z     x = self.layers(x)
2025-10-10T00:52:57.8033753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8033820Z     x = self.blocks(x)
2025-10-10T00:52:57.8034065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8034163Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8034372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8034441Z     x = self.fc2(x)
2025-10-10T00:52:57.8034445Z 
2025-10-10T00:52:57.8034560Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8034780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8034852Z     return mod(*inputs)
2025-10-10T00:52:57.8035098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8035176Z     x = self.forward_features(x)
2025-10-10T00:52:57.8035444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8035526Z     x = self.layers(x)
2025-10-10T00:52:57.8035764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8035837Z     x = self.blocks(x)
2025-10-10T00:52:57.8036056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8036159Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8036385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8036583Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8036852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8037025Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8037032Z 
2025-10-10T00:52:57.8037151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8037358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8037429Z     return mod(*inputs)
2025-10-10T00:52:57.8037671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8037750Z     x = self.forward_features(x)
2025-10-10T00:52:57.8038016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8038085Z     x = self.layers(x)
2025-10-10T00:52:57.8038329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8038394Z     x = self.blocks(x)
2025-10-10T00:52:57.8038612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8038747Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8038966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8039135Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8039388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8039530Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8039534Z 
2025-10-10T00:52:57.8039645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8039842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8039915Z     return mod(*inputs)
2025-10-10T00:52:57.8040138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8040221Z     x = self.forward_features(x)
2025-10-10T00:52:57.8040469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8040534Z     x = self.layers(x)
2025-10-10T00:52:57.8040761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8040828Z     x = self.blocks(x)
2025-10-10T00:52:57.8041057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8041149Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8041369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8041537Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8041763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8041847Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8041850Z 
2025-10-10T00:52:57.8041954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8042150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8042227Z     return mod(*inputs)
2025-10-10T00:52:57.8042448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8042526Z     x = self.forward_features(x)
2025-10-10T00:52:57.8042771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8042843Z     x = self.layers(x)
2025-10-10T00:52:57.8043063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8043131Z     x = self.blocks(x)
2025-10-10T00:52:57.8043365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8043455Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8043677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8043846Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8044081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8044169Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8044173Z 
2025-10-10T00:52:57.8044285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8044508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8044618Z     return mod(*inputs)
2025-10-10T00:52:57.8044862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8044949Z     x = self.forward_features(x)
2025-10-10T00:52:57.8045220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8045298Z     x = self.layers(x)
2025-10-10T00:52:57.8045596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8045676Z     x = self.blocks(x)
2025-10-10T00:52:57.8045924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8046021Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8046263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8046433Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8046674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8046753Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8046756Z 
2025-10-10T00:52:57.8046868Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8047087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8047157Z     return mod(*inputs)
2025-10-10T00:52:57.8047398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8047474Z     x = self.forward_features(x)
2025-10-10T00:52:57.8047732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8047811Z     x = self.layers(x)
2025-10-10T00:52:57.8048043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8048120Z     x = self.blocks(x)
2025-10-10T00:52:57.8048353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8048457Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8048691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8048859Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8049101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8049167Z     x = attn @ v
2025-10-10T00:52:57.8049170Z 
2025-10-10T00:52:57.8049288Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8049498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8049567Z     return mod(*inputs)
2025-10-10T00:52:57.8049813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8049891Z     x = self.forward_features(x)
2025-10-10T00:52:57.8050160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8050228Z     x = self.layers(x)
2025-10-10T00:52:57.8050464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8050545Z     x = self.blocks(x)
2025-10-10T00:52:57.8050931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8051343Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8051785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8052268Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8052753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8053124Z     x = attn @ v
2025-10-10T00:52:57.8053226Z 
2025-10-10T00:52:57.8053372Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8053765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8054118Z     return mod(*inputs)
2025-10-10T00:52:57.8054480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8054877Z     x = self.forward_features(x)
2025-10-10T00:52:57.8055286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8055701Z     x = self.layers(x)
2025-10-10T00:52:57.8056067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8056452Z     x = self.blocks(x)
2025-10-10T00:52:57.8056804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8057261Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8057751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8058248Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8058742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8059155Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8059318Z 
2025-10-10T00:52:57.8059445Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8059844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8060205Z     return mod(*inputs)
2025-10-10T00:52:57.8060571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8060970Z     x = self.forward_features(x)
2025-10-10T00:52:57.8061373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8061785Z     x = self.layers(x)
2025-10-10T00:52:57.8062144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8062607Z     x = self.blocks(x)
2025-10-10T00:52:57.8062969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8063380Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8063794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8064276Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8064767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8065152Z     x = self.proj(x)
2025-10-10T00:52:57.8065265Z 
2025-10-10T00:52:57.8065381Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8065783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8066136Z     return mod(*inputs)
2025-10-10T00:52:57.8066497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8066921Z     x = self.forward_features(x)
2025-10-10T00:52:57.8067330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8067738Z     x = self.layers(x)
2025-10-10T00:52:57.8068098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8068480Z     x = self.blocks(x)
2025-10-10T00:52:57.8068868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8069282Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8069655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8070002Z     x = self.fc1(x)
2025-10-10T00:52:57.8070110Z 
2025-10-10T00:52:57.8070227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8070623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8070985Z     return mod(*inputs)
2025-10-10T00:52:57.8071347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8071735Z     x = self.forward_features(x)
2025-10-10T00:52:57.8072135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8072546Z     x = self.layers(x)
2025-10-10T00:52:57.8072898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8073285Z     x = self.blocks(x)
2025-10-10T00:52:57.8073619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8074019Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8074382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8074721Z     x = self.act(x)
2025-10-10T00:52:57.8074824Z 
2025-10-10T00:52:57.8074942Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8075316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8075658Z     return mod(*inputs)
2025-10-10T00:52:57.8076014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8076394Z     x = self.forward_features(x)
2025-10-10T00:52:57.8076782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8077176Z     x = self.layers(x)
2025-10-10T00:52:57.8077525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8077892Z     x = self.blocks(x)
2025-10-10T00:52:57.8078236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8078629Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8078990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8079322Z     x = self.fc2(x)
2025-10-10T00:52:57.8079425Z 
2025-10-10T00:52:57.8079549Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8079927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8080272Z     return mod(*inputs)
2025-10-10T00:52:57.8080619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8080998Z     x = self.forward_features(x)
2025-10-10T00:52:57.8081390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8081828Z     x = self.layers(x)
2025-10-10T00:52:57.8082172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8082541Z     x = self.blocks(x)
2025-10-10T00:52:57.8082882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8083309Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8083478Z 
2025-10-10T00:52:57.8083591Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8083981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8084342Z     return mod(*inputs)
2025-10-10T00:52:57.8084714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8085106Z     x = self.forward_features(x)
2025-10-10T00:52:57.8085534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8085949Z     x = self.layers(x)
2025-10-10T00:52:57.8086279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8086630Z     x = self.blocks(x)
2025-10-10T00:52:57.8086956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8087346Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8087754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8088261Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8088784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8089297Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8089543Z 
2025-10-10T00:52:57.8089665Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8090066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8090425Z     return mod(*inputs)
2025-10-10T00:52:57.8090780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8091182Z     x = self.forward_features(x)
2025-10-10T00:52:57.8091559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8091956Z     x = self.layers(x)
2025-10-10T00:52:57.8092292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8092651Z     x = self.blocks(x)
2025-10-10T00:52:57.8092989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8093364Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8093758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8094245Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8094733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8095192Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8095405Z 
2025-10-10T00:52:57.8095522Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8095931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8096344Z     return mod(*inputs)
2025-10-10T00:52:57.8096713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8097094Z     x = self.forward_features(x)
2025-10-10T00:52:57.8097502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8097912Z     x = self.layers(x)
2025-10-10T00:52:57.8098317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8098698Z     x = self.blocks(x)
2025-10-10T00:52:57.8099042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8099446Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8099852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8100342Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8100824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8101206Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8101356Z 
2025-10-10T00:52:57.8101470Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8101866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8102223Z     return mod(*inputs)
2025-10-10T00:52:57.8102672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8103074Z     x = self.forward_features(x)
2025-10-10T00:52:57.8103489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8103904Z     x = self.layers(x)
2025-10-10T00:52:57.8104262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8104640Z     x = self.blocks(x)
2025-10-10T00:52:57.8104998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8105411Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8105831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8106324Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8106817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8107216Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8107363Z 
2025-10-10T00:52:57.8107480Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8107882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8108235Z     return mod(*inputs)
2025-10-10T00:52:57.8108599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8108996Z     x = self.forward_features(x)
2025-10-10T00:52:57.8109410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8109826Z     x = self.layers(x)
2025-10-10T00:52:57.8110178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8110562Z     x = self.blocks(x)
2025-10-10T00:52:57.8110924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8111339Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8111803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8112305Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8112960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8113362Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8113508Z 
2025-10-10T00:52:57.8113700Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8114085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8114436Z     return mod(*inputs)
2025-10-10T00:52:57.8114790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8115186Z     x = self.forward_features(x)
2025-10-10T00:52:57.8115611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8116007Z     x = self.layers(x)
2025-10-10T00:52:57.8116361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8116738Z     x = self.blocks(x)
2025-10-10T00:52:57.8117081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8117477Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8117871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8118349Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8118821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8119195Z     x = attn @ v
2025-10-10T00:52:57.8119298Z 
2025-10-10T00:52:57.8119411Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8119797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8120143Z     return mod(*inputs)
2025-10-10T00:52:57.8120494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8120868Z     x = self.forward_features(x)
2025-10-10T00:52:57.8121264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8121659Z     x = self.layers(x)
2025-10-10T00:52:57.8122004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8122376Z     x = self.blocks(x)
2025-10-10T00:52:57.8122718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8123124Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8123521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8124007Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8124500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8124878Z     x = attn @ v
2025-10-10T00:52:57.8124991Z 
2025-10-10T00:52:57.8125108Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8125519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8125866Z     return mod(*inputs)
2025-10-10T00:52:57.8126214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8126658Z     x = self.forward_features(x)
2025-10-10T00:52:57.8127053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8127453Z     x = self.layers(x)
2025-10-10T00:52:57.8127804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8128168Z     x = self.blocks(x)
2025-10-10T00:52:57.8128547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8128955Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8129367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8129836Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8130309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8130715Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8130867Z 
2025-10-10T00:52:57.8130990Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8131379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8131717Z     return mod(*inputs)
2025-10-10T00:52:57.8132073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8132456Z     x = self.forward_features(x)
2025-10-10T00:52:57.8132831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8133200Z     x = self.layers(x)
2025-10-10T00:52:57.8133519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8133868Z     x = self.blocks(x)
2025-10-10T00:52:57.8134193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8134601Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8135014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8135486Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8135959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8136336Z     x = self.proj(x)
2025-10-10T00:52:57.8136450Z 
2025-10-10T00:52:57.8136576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8136965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8137320Z     return mod(*inputs)
2025-10-10T00:52:57.8137689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8138078Z     x = self.forward_features(x)
2025-10-10T00:52:57.8138475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8138881Z     x = self.layers(x)
2025-10-10T00:52:57.8139240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8139618Z     x = self.blocks(x)
2025-10-10T00:52:57.8139972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8140372Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8140746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8141092Z     x = self.fc1(x)
2025-10-10T00:52:57.8141257Z 
2025-10-10T00:52:57.8141382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8141782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8142133Z     return mod(*inputs)
2025-10-10T00:52:57.8142571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8143002Z     x = self.forward_features(x)
2025-10-10T00:52:57.8143459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8143862Z     x = self.layers(x)
2025-10-10T00:52:57.8144219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8144571Z     x = self.blocks(x)
2025-10-10T00:52:57.8144899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8145284Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8145653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8146003Z     x = self.act(x)
2025-10-10T00:52:57.8146106Z 
2025-10-10T00:52:57.8146227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8146616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8146961Z     return mod(*inputs)
2025-10-10T00:52:57.8147311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8147680Z     x = self.forward_features(x)
2025-10-10T00:52:57.8148051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8148422Z     x = self.layers(x)
2025-10-10T00:52:57.8148755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8149125Z     x = self.blocks(x)
2025-10-10T00:52:57.8149467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8149863Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8150216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8150550Z     x = self.fc2(x)
2025-10-10T00:52:57.8150659Z 
2025-10-10T00:52:57.8150768Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8151154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8151503Z     return mod(*inputs)
2025-10-10T00:52:57.8151847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8152224Z     x = self.forward_features(x)
2025-10-10T00:52:57.8152619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8153009Z     x = self.layers(x)
2025-10-10T00:52:57.8153338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8153705Z     x = self.blocks(x)
2025-10-10T00:52:57.8154047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8154441Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8154833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8155319Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8155840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8156398Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8156625Z 
2025-10-10T00:52:57.8156747Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8157131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8157471Z     return mod(*inputs)
2025-10-10T00:52:57.8157857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8158242Z     x = self.forward_features(x)
2025-10-10T00:52:57.8158651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8159018Z     x = self.layers(x)
2025-10-10T00:52:57.8159348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8159719Z     x = self.blocks(x)
2025-10-10T00:52:57.8160068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8160470Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8160864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8161360Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8161811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8162249Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8162444Z 
2025-10-10T00:52:57.8162572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8162967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8163347Z     return mod(*inputs)
2025-10-10T00:52:57.8163705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8164089Z     x = self.forward_features(x)
2025-10-10T00:52:57.8164479Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8164877Z     x = self.layers(x)
2025-10-10T00:52:57.8165212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8165564Z     x = self.blocks(x)
2025-10-10T00:52:57.8165891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8166260Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8166640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8167091Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8167548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8167920Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8168051Z 
2025-10-10T00:52:57.8168161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8168530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8168877Z     return mod(*inputs)
2025-10-10T00:52:57.8169207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8169560Z     x = self.forward_features(x)
2025-10-10T00:52:57.8169939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8170354Z     x = self.layers(x)
2025-10-10T00:52:57.8170679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8171022Z     x = self.blocks(x)
2025-10-10T00:52:57.8171337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8171709Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8172109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8172554Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8172989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8173349Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8173485Z 
2025-10-10T00:52:57.8173593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8173957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8174285Z     return mod(*inputs)
2025-10-10T00:52:57.8174610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8174972Z     x = self.forward_features(x)
2025-10-10T00:52:57.8175366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8175762Z     x = self.layers(x)
2025-10-10T00:52:57.8176116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8176485Z     x = self.blocks(x)
2025-10-10T00:52:57.8176841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8177252Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8177660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8178135Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8178620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8179014Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8179154Z 
2025-10-10T00:52:57.8179282Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8179676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8180029Z     return mod(*inputs)
2025-10-10T00:52:57.8180394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8180779Z     x = self.forward_features(x)
2025-10-10T00:52:57.8181191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8181587Z     x = self.layers(x)
2025-10-10T00:52:57.8181943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8182324Z     x = self.blocks(x)
2025-10-10T00:52:57.8182765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8183181Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8183592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8184066Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8184544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8184968Z     x = attn @ v
2025-10-10T00:52:57.8185071Z 
2025-10-10T00:52:57.8185197Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8185579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8185937Z     return mod(*inputs)
2025-10-10T00:52:57.8186299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8186724Z     x = self.forward_features(x)
2025-10-10T00:52:57.8187126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8187540Z     x = self.layers(x)
2025-10-10T00:52:57.8187885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8188254Z     x = self.blocks(x)
2025-10-10T00:52:57.8188597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8188991Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8189389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8189858Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8190339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8190708Z     x = attn @ v
2025-10-10T00:52:57.8190809Z 
2025-10-10T00:52:57.8190924Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8191310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8191657Z     return mod(*inputs)
2025-10-10T00:52:57.8192008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8192388Z     x = self.forward_features(x)
2025-10-10T00:52:57.8192783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8193177Z     x = self.layers(x)
2025-10-10T00:52:57.8193523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8193894Z     x = self.blocks(x)
2025-10-10T00:52:57.8194215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8194589Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8194977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8195443Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8195909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8196308Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8196467Z 
2025-10-10T00:52:57.8196581Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8196971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8197322Z     return mod(*inputs)
2025-10-10T00:52:57.8197668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8198057Z     x = self.forward_features(x)
2025-10-10T00:52:57.8198433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8198808Z     x = self.layers(x)
2025-10-10T00:52:57.8199127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8199514Z     x = self.blocks(x)
2025-10-10T00:52:57.8199835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8200226Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8200625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8201119Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8201605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8201984Z     x = self.proj(x)
2025-10-10T00:52:57.8202088Z 
2025-10-10T00:52:57.8202208Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8202574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8202895Z     return mod(*inputs)
2025-10-10T00:52:57.8203241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8203604Z     x = self.forward_features(x)
2025-10-10T00:52:57.8203978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8204344Z     x = self.layers(x)
2025-10-10T00:52:57.8204677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8205026Z     x = self.blocks(x)
2025-10-10T00:52:57.8205353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8205731Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8206068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8206384Z     x = self.fc1(x)
2025-10-10T00:52:57.8206493Z 
2025-10-10T00:52:57.8206601Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8206984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8207323Z     return mod(*inputs)
2025-10-10T00:52:57.8207672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8208058Z     x = self.forward_features(x)
2025-10-10T00:52:57.8208457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8208852Z     x = self.layers(x)
2025-10-10T00:52:57.8209192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8209563Z     x = self.blocks(x)
2025-10-10T00:52:57.8209889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8210297Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8210663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8210998Z     x = self.act(x)
2025-10-10T00:52:57.8211111Z 
2025-10-10T00:52:57.8211226Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8211619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8211968Z     return mod(*inputs)
2025-10-10T00:52:57.8212311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8212691Z     x = self.forward_features(x)
2025-10-10T00:52:57.8213328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8213732Z     x = self.layers(x)
2025-10-10T00:52:57.8214069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8214533Z     x = self.blocks(x)
2025-10-10T00:52:57.8214877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8215279Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8215688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8216019Z     x = self.fc2(x)
2025-10-10T00:52:57.8216134Z 
2025-10-10T00:52:57.8216250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8216649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8217012Z     return mod(*inputs)
2025-10-10T00:52:57.8217367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8217766Z     x = self.forward_features(x)
2025-10-10T00:52:57.8218176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8218585Z     x = self.layers(x)
2025-10-10T00:52:57.8218940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8219312Z     x = self.blocks(x)
2025-10-10T00:52:57.8219671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8220080Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8220242Z 
2025-10-10T00:52:57.8220364Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8220763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8221111Z     return mod(*inputs)
2025-10-10T00:52:57.8221472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8221868Z     x = self.forward_features(x)
2025-10-10T00:52:57.8222274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8222737Z     x = self.layers(x)
2025-10-10T00:52:57.8223093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8223485Z     x = self.blocks(x)
2025-10-10T00:52:57.8223844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8224267Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8224664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8225176Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8225716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8226229Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8226463Z 
2025-10-10T00:52:57.8226585Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8226973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8227327Z     return mod(*inputs)
2025-10-10T00:52:57.8227698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8228100Z     x = self.forward_features(x)
2025-10-10T00:52:57.8228508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8228932Z     x = self.layers(x)
2025-10-10T00:52:57.8229333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8229698Z     x = self.blocks(x)
2025-10-10T00:52:57.8230023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8230395Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8230812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8231283Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8231761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8232221Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8232431Z 
2025-10-10T00:52:57.8232553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8232924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8233250Z     return mod(*inputs)
2025-10-10T00:52:57.8233582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8233937Z     x = self.forward_features(x)
2025-10-10T00:52:57.8234312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8234688Z     x = self.layers(x)
2025-10-10T00:52:57.8235012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8235361Z     x = self.blocks(x)
2025-10-10T00:52:57.8235677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8236072Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8236472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8236942Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8237414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8237795Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8237934Z 
2025-10-10T00:52:57.8238042Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8238405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8238748Z     return mod(*inputs)
2025-10-10T00:52:57.8239091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8239471Z     x = self.forward_features(x)
2025-10-10T00:52:57.8239863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8240239Z     x = self.layers(x)
2025-10-10T00:52:57.8240559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8240899Z     x = self.blocks(x)
2025-10-10T00:52:57.8241222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8241601Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8241823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8241990Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8242218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8242348Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8242351Z 
2025-10-10T00:52:57.8242465Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8242684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8242765Z     return mod(*inputs)
2025-10-10T00:52:57.8243006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8243129Z     x = self.forward_features(x)
2025-10-10T00:52:57.8243393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8243464Z     x = self.layers(x)
2025-10-10T00:52:57.8243706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8243772Z     x = self.blocks(x)
2025-10-10T00:52:57.8243998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8244095Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8244317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8244488Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8244716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8244806Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8244809Z 
2025-10-10T00:52:57.8244923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8245144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8245217Z     return mod(*inputs)
2025-10-10T00:52:57.8245450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8245539Z     x = self.forward_features(x)
2025-10-10T00:52:57.8245799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8245877Z     x = self.layers(x)
2025-10-10T00:52:57.8246113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8246183Z     x = self.blocks(x)
2025-10-10T00:52:57.8246426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8246528Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8246768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8246939Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8247181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8247249Z     x = attn @ v
2025-10-10T00:52:57.8247252Z 
2025-10-10T00:52:57.8247362Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8247578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8247650Z     return mod(*inputs)
2025-10-10T00:52:57.8247893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8247969Z     x = self.forward_features(x)
2025-10-10T00:52:57.8248228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8248307Z     x = self.layers(x)
2025-10-10T00:52:57.8248541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8248653Z     x = self.blocks(x)
2025-10-10T00:52:57.8248890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8248989Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8249233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8249452Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8249700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8249769Z     x = attn @ v
2025-10-10T00:52:57.8249773Z 
2025-10-10T00:52:57.8249904Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8250112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8250184Z     return mod(*inputs)
2025-10-10T00:52:57.8250427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8250503Z     x = self.forward_features(x)
2025-10-10T00:52:57.8250769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8250840Z     x = self.layers(x)
2025-10-10T00:52:57.8251071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8251149Z     x = self.blocks(x)
2025-10-10T00:52:57.8251379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8251485Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8251714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8251881Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8252121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8252214Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8252219Z 
2025-10-10T00:52:57.8252336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8252549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8252629Z     return mod(*inputs)
2025-10-10T00:52:57.8252862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8252941Z     x = self.forward_features(x)
2025-10-10T00:52:57.8253208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8253276Z     x = self.layers(x)
2025-10-10T00:52:57.8253516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8253584Z     x = self.blocks(x)
2025-10-10T00:52:57.8253822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8253928Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8254160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8254335Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8254567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8254636Z     x = self.proj(x)
2025-10-10T00:52:57.8254647Z 
2025-10-10T00:52:57.8254756Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8254963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8255080Z     return mod(*inputs)
2025-10-10T00:52:57.8255315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8255402Z     x = self.forward_features(x)
2025-10-10T00:52:57.8255663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8255779Z     x = self.layers(x)
2025-10-10T00:52:57.8256025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8256094Z     x = self.blocks(x)
2025-10-10T00:52:57.8256334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8256434Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8256636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8256715Z     x = self.fc1(x)
2025-10-10T00:52:57.8256719Z 
2025-10-10T00:52:57.8256830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8257048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8257119Z     return mod(*inputs)
2025-10-10T00:52:57.8257358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8257442Z     x = self.forward_features(x)
2025-10-10T00:52:57.8257704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8257779Z     x = self.layers(x)
2025-10-10T00:52:57.8258021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8258098Z     x = self.blocks(x)
2025-10-10T00:52:57.8258342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8258441Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8258656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8258724Z     x = self.act(x)
2025-10-10T00:52:57.8258728Z 
2025-10-10T00:52:57.8258850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8259060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8259134Z     return mod(*inputs)
2025-10-10T00:52:57.8259378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8259457Z     x = self.forward_features(x)
2025-10-10T00:52:57.8259736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8259810Z     x = self.layers(x)
2025-10-10T00:52:57.8260051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8260132Z     x = self.blocks(x)
2025-10-10T00:52:57.8260373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8260481Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8260692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8260762Z     x = self.fc2(x)
2025-10-10T00:52:57.8260773Z 
2025-10-10T00:52:57.8260886Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8261100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8261180Z     return mod(*inputs)
2025-10-10T00:52:57.8261422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8261561Z     x = self.forward_features(x)
2025-10-10T00:52:57.8261840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8261910Z     x = self.layers(x)
2025-10-10T00:52:57.8262168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8262270Z     x = self.blocks(x)
2025-10-10T00:52:57.8262615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8262725Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8262972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8263188Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8263469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8263659Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8263665Z 
2025-10-10T00:52:57.8263780Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8264007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8264082Z     return mod(*inputs)
2025-10-10T00:52:57.8264329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8264417Z     x = self.forward_features(x)
2025-10-10T00:52:57.8264691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8264770Z     x = self.layers(x)
2025-10-10T00:52:57.8265017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8265086Z     x = self.blocks(x)
2025-10-10T00:52:57.8265338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8265438Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8265692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8265870Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8266114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8266280Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8266284Z 
2025-10-10T00:52:57.8266397Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8266622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8266697Z     return mod(*inputs)
2025-10-10T00:52:57.8266949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8267028Z     x = self.forward_features(x)
2025-10-10T00:52:57.8267305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8267384Z     x = self.layers(x)
2025-10-10T00:52:57.8267629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8267707Z     x = self.blocks(x)
2025-10-10T00:52:57.8267951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8268052Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8268338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8268512Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8268759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8268842Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8268878Z 
2025-10-10T00:52:57.8268998Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8269212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8269285Z     return mod(*inputs)
2025-10-10T00:52:57.8269530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8269609Z     x = self.forward_features(x)
2025-10-10T00:52:57.8269886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8269957Z     x = self.layers(x)
2025-10-10T00:52:57.8270191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8270267Z     x = self.blocks(x)
2025-10-10T00:52:57.8270508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8270614Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8270851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8271022Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8271268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8271353Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8271357Z 
2025-10-10T00:52:57.8271476Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8271688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8271769Z     return mod(*inputs)
2025-10-10T00:52:57.8272008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8272088Z     x = self.forward_features(x)
2025-10-10T00:52:57.8272363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8272433Z     x = self.layers(x)
2025-10-10T00:52:57.8272679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8272749Z     x = self.blocks(x)
2025-10-10T00:52:57.8272987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8273099Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8273338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8273521Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8273764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8273847Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8273858Z 
2025-10-10T00:52:57.8273972Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8274185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8274266Z     return mod(*inputs)
2025-10-10T00:52:57.8274506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8274631Z     x = self.forward_features(x)
2025-10-10T00:52:57.8274891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8274955Z     x = self.layers(x)
2025-10-10T00:52:57.8275183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8275295Z     x = self.blocks(x)
2025-10-10T00:52:57.8275517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8275607Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8275819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8275983Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8276199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8276268Z     x = attn @ v
2025-10-10T00:52:57.8276272Z 
2025-10-10T00:52:57.8276372Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8276576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8276648Z     return mod(*inputs)
2025-10-10T00:52:57.8276882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8276967Z     x = self.forward_features(x)
2025-10-10T00:52:57.8277225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8277302Z     x = self.layers(x)
2025-10-10T00:52:57.8277535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8277606Z     x = self.blocks(x)
2025-10-10T00:52:57.8277848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8277950Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8278193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8278368Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8278614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8278686Z     x = attn @ v
2025-10-10T00:52:57.8278689Z 
2025-10-10T00:52:57.8278793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8278999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8279067Z     return mod(*inputs)
2025-10-10T00:52:57.8279296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8279369Z     x = self.forward_features(x)
2025-10-10T00:52:57.8279613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8279686Z     x = self.layers(x)
2025-10-10T00:52:57.8279908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8279980Z     x = self.blocks(x)
2025-10-10T00:52:57.8280199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8280293Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8280518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8280676Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8280940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8281028Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8281032Z 
2025-10-10T00:52:57.8281136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8281371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8281441Z     return mod(*inputs)
2025-10-10T00:52:57.8281670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8281744Z     x = self.forward_features(x)
2025-10-10T00:52:57.8281997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8282062Z     x = self.layers(x)
2025-10-10T00:52:57.8282300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8282378Z     x = self.blocks(x)
2025-10-10T00:52:57.8282621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8282728Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8282977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8283146Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8283386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8283457Z     x = self.proj(x)
2025-10-10T00:52:57.8283460Z 
2025-10-10T00:52:57.8283576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8283788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8283864Z     return mod(*inputs)
2025-10-10T00:52:57.8284104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8284180Z     x = self.forward_features(x)
2025-10-10T00:52:57.8284449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8284521Z     x = self.layers(x)
2025-10-10T00:52:57.8284763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8284831Z     x = self.blocks(x)
2025-10-10T00:52:57.8285064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8285171Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8285373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8285451Z     x = self.fc1(x)
2025-10-10T00:52:57.8285454Z 
2025-10-10T00:52:57.8285565Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8285775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8285856Z     return mod(*inputs)
2025-10-10T00:52:57.8286090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8286177Z     x = self.forward_features(x)
2025-10-10T00:52:57.8286438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8286506Z     x = self.layers(x)
2025-10-10T00:52:57.8286749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8286816Z     x = self.blocks(x)
2025-10-10T00:52:57.8287095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8287193Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8287394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8287472Z     x = self.act(x)
2025-10-10T00:52:57.8287476Z 
2025-10-10T00:52:57.8287621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8287845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8287918Z     return mod(*inputs)
2025-10-10T00:52:57.8288169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8288248Z     x = self.forward_features(x)
2025-10-10T00:52:57.8288518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8288599Z     x = self.layers(x)
2025-10-10T00:52:57.8288848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8288923Z     x = self.blocks(x)
2025-10-10T00:52:57.8289157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8289258Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8289470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8289538Z     x = self.fc2(x)
2025-10-10T00:52:57.8289541Z 
2025-10-10T00:52:57.8289660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8289867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8289939Z     return mod(*inputs)
2025-10-10T00:52:57.8290187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8290266Z     x = self.forward_features(x)
2025-10-10T00:52:57.8290539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8290607Z     x = self.layers(x)
2025-10-10T00:52:57.8290844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8290921Z     x = self.blocks(x)
2025-10-10T00:52:57.8291153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8291257Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8291261Z 
2025-10-10T00:52:57.8291374Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8291596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8291672Z     return mod(*inputs)
2025-10-10T00:52:57.8291914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8292001Z     x = self.forward_features(x)
2025-10-10T00:52:57.8292278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8292355Z     x = self.layers(x)
2025-10-10T00:52:57.8292599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8292669Z     x = self.blocks(x)
2025-10-10T00:52:57.8292922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8293025Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8293271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8293511Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8293791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8293966Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8293970Z 
2025-10-10T00:52:57.8294116Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8294343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8294416Z     return mod(*inputs)
2025-10-10T00:52:57.8294665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8294742Z     x = self.forward_features(x)
2025-10-10T00:52:57.8295007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8295089Z     x = self.layers(x)
2025-10-10T00:52:57.8295331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8295408Z     x = self.blocks(x)
2025-10-10T00:52:57.8295647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8295753Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8295999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8296175Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8296424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8296578Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8296585Z 
2025-10-10T00:52:57.8296706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8296920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8296995Z     return mod(*inputs)
2025-10-10T00:52:57.8297244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8297324Z     x = self.forward_features(x)
2025-10-10T00:52:57.8297597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8297667Z     x = self.layers(x)
2025-10-10T00:52:57.8297907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8297984Z     x = self.blocks(x)
2025-10-10T00:52:57.8298223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8298332Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8298571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8298752Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8298992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8299074Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8299077Z 
2025-10-10T00:52:57.8299198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8299413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8299497Z     return mod(*inputs)
2025-10-10T00:52:57.8299745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8299878Z     x = self.forward_features(x)
2025-10-10T00:52:57.8300153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8300225Z     x = self.layers(x)
2025-10-10T00:52:57.8300472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8300542Z     x = self.blocks(x)
2025-10-10T00:52:57.8300813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8300923Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8301158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8301337Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8301579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8301667Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8301671Z 
2025-10-10T00:52:57.8301786Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8302000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8302082Z     return mod(*inputs)
2025-10-10T00:52:57.8302321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8302482Z     x = self.forward_features(x)
2025-10-10T00:52:57.8302761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8302835Z     x = self.layers(x)
2025-10-10T00:52:57.8303088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8303162Z     x = self.blocks(x)
2025-10-10T00:52:57.8303410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8303512Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8303752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8303938Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8304178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8304269Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8304273Z 
2025-10-10T00:52:57.8304388Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8304612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8304690Z     return mod(*inputs)
2025-10-10T00:52:57.8304932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8305021Z     x = self.forward_features(x)
2025-10-10T00:52:57.8305291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8305370Z     x = self.layers(x)
2025-10-10T00:52:57.8305615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8305688Z     x = self.blocks(x)
2025-10-10T00:52:57.8305938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8306038Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8306285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8306498Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8306750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8306817Z     x = attn @ v
2025-10-10T00:52:57.8306821Z 
2025-10-10T00:52:57.8306930Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8307178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8307254Z     return mod(*inputs)
2025-10-10T00:52:57.8307499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8307577Z     x = self.forward_features(x)
2025-10-10T00:52:57.8307845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8307924Z     x = self.layers(x)
2025-10-10T00:52:57.8308167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8308243Z     x = self.blocks(x)
2025-10-10T00:52:57.8308484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8308585Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8308828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8308986Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8309212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8309273Z     x = attn @ v
2025-10-10T00:52:57.8309277Z 
2025-10-10T00:52:57.8309387Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8309584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8309655Z     return mod(*inputs)
2025-10-10T00:52:57.8309882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8309955Z     x = self.forward_features(x)
2025-10-10T00:52:57.8310215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8310282Z     x = self.layers(x)
2025-10-10T00:52:57.8310502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8310575Z     x = self.blocks(x)
2025-10-10T00:52:57.8310796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8310900Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8311119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8311281Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8311510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8311597Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8311600Z 
2025-10-10T00:52:57.8311716Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8311913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8312081Z     return mod(*inputs)
2025-10-10T00:52:57.8312319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8312980Z     x = self.forward_features(x)
2025-10-10T00:52:57.8313265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8313425Z     x = self.layers(x)
2025-10-10T00:52:57.8313714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8313809Z     x = self.blocks(x)
2025-10-10T00:52:57.8314141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8314333Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8314610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8314836Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8315090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8315208Z     x = self.proj(x)
2025-10-10T00:52:57.8315215Z 
2025-10-10T00:52:57.8315374Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8315646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8315742Z     return mod(*inputs)
2025-10-10T00:52:57.8315999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8316130Z     x = self.forward_features(x)
2025-10-10T00:52:57.8316387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8316535Z     x = self.layers(x)
2025-10-10T00:52:57.8316777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8316869Z     x = self.blocks(x)
2025-10-10T00:52:57.8317151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8317272Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8317521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8317619Z     x = self.fc1(x)
2025-10-10T00:52:57.8317626Z 
2025-10-10T00:52:57.8317780Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8318000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8318102Z     return mod(*inputs)
2025-10-10T00:52:57.8318362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8318482Z     x = self.forward_features(x)
2025-10-10T00:52:57.8318799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8318892Z     x = self.layers(x)
2025-10-10T00:52:57.8319155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8319279Z     x = self.blocks(x)
2025-10-10T00:52:57.8319522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8319721Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8319949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8320042Z     x = self.act(x)
2025-10-10T00:52:57.8320093Z 
2025-10-10T00:52:57.8320218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8320436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8320562Z     return mod(*inputs)
2025-10-10T00:52:57.8320827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8320967Z     x = self.forward_features(x)
2025-10-10T00:52:57.8321296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8321390Z     x = self.layers(x)
2025-10-10T00:52:57.8321672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8321785Z     x = self.blocks(x)
2025-10-10T00:52:57.8322129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8322256Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8322486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8322612Z     x = self.fc2(x)
2025-10-10T00:52:57.8322618Z 
2025-10-10T00:52:57.8340854Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8341272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8341382Z     return mod(*inputs)
2025-10-10T00:52:57.8341682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8341773Z     x = self.forward_features(x)
2025-10-10T00:52:57.8342070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8342149Z     x = self.layers(x)
2025-10-10T00:52:57.8342497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8342586Z     x = self.blocks(x)
2025-10-10T00:52:57.8342842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8342971Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8343218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 382, in _attn
2025-10-10T00:52:57.8343433Z     x_windows = window_partition(shifted_x, self.window_size)  # nW*B, window_size, window_size, C
2025-10-10T00:52:57.8343723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 58, in window_partition
2025-10-10T00:52:57.8343914Z     windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size[0], window_size[1], C)
2025-10-10T00:52:57.8343922Z 
2025-10-10T00:52:57.8344056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8344269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8344349Z     return mod(*inputs)
2025-10-10T00:52:57.8344582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8344660Z     x = self.forward_features(x)
2025-10-10T00:52:57.8344924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8344996Z     x = self.layers(x)
2025-10-10T00:52:57.8345268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8345340Z     x = self.blocks(x)
2025-10-10T00:52:57.8345579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8345695Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8345932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8346124Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8346362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8346529Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8346670Z 
2025-10-10T00:52:57.8346791Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8347013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8347099Z     return mod(*inputs)
2025-10-10T00:52:57.8347387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8347536Z     x = self.forward_features(x)
2025-10-10T00:52:57.8347791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8347858Z     x = self.layers(x)
2025-10-10T00:52:57.8348100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8348170Z     x = self.blocks(x)
2025-10-10T00:52:57.8348410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8348515Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8348747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8348932Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8349170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8349265Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8349269Z 
2025-10-10T00:52:57.8349384Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8349614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8349686Z     return mod(*inputs)
2025-10-10T00:52:57.8349959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8350045Z     x = self.forward_features(x)
2025-10-10T00:52:57.8350291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8350365Z     x = self.layers(x)
2025-10-10T00:52:57.8350632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8350704Z     x = self.blocks(x)
2025-10-10T00:52:57.8350947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8351047Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8351291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8351462Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8351705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8351787Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8351791Z 
2025-10-10T00:52:57.8351903Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8352122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8352194Z     return mod(*inputs)
2025-10-10T00:52:57.8352441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8352517Z     x = self.forward_features(x)
2025-10-10T00:52:57.8352801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8352882Z     x = self.layers(x)
2025-10-10T00:52:57.8353137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8353251Z     x = self.blocks(x)
2025-10-10T00:52:57.8353493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8353594Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8353906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8354137Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8354402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8354487Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8354492Z 
2025-10-10T00:52:57.8354616Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8354830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8354907Z     return mod(*inputs)
2025-10-10T00:52:57.8355181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8355260Z     x = self.forward_features(x)
2025-10-10T00:52:57.8355551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8355620Z     x = self.layers(x)
2025-10-10T00:52:57.8355882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8355949Z     x = self.blocks(x)
2025-10-10T00:52:57.8356205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8356303Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8356537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8356739Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8356989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8357065Z     x = attn @ v
2025-10-10T00:52:57.8357070Z 
2025-10-10T00:52:57.8357182Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8357409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8357489Z     return mod(*inputs)
2025-10-10T00:52:57.8357743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8357828Z     x = self.forward_features(x)
2025-10-10T00:52:57.8358127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8358205Z     x = self.layers(x)
2025-10-10T00:52:57.8358451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8358521Z     x = self.blocks(x)
2025-10-10T00:52:57.8358765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8358865Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8359113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8359288Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8359529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8359608Z     x = attn @ v
2025-10-10T00:52:57.8359612Z 
2025-10-10T00:52:57.8359725Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8359985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8360059Z     return mod(*inputs)
2025-10-10T00:52:57.8360355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8360443Z     x = self.forward_features(x)
2025-10-10T00:52:57.8360743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8360858Z     x = self.layers(x)
2025-10-10T00:52:57.8361101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8361177Z     x = self.blocks(x)
2025-10-10T00:52:57.8361437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8361537Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8361799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8361975Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8362245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8362341Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8362346Z 
2025-10-10T00:52:57.8362462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8362688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8362761Z     return mod(*inputs)
2025-10-10T00:52:57.8363012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8363091Z     x = self.forward_features(x)
2025-10-10T00:52:57.8363359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8363440Z     x = self.layers(x)
2025-10-10T00:52:57.8363687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8363764Z     x = self.blocks(x)
2025-10-10T00:52:57.8364058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8364165Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8364403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8364572Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8364817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8364885Z     x = self.proj(x)
2025-10-10T00:52:57.8364891Z 
2025-10-10T00:52:57.8365001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8365198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8365267Z     return mod(*inputs)
2025-10-10T00:52:57.8365498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8365570Z     x = self.forward_features(x)
2025-10-10T00:52:57.8365827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8365892Z     x = self.layers(x)
2025-10-10T00:52:57.8366114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8366185Z     x = self.blocks(x)
2025-10-10T00:52:57.8366409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8366548Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8366743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8366817Z     x = self.fc1(x)
2025-10-10T00:52:57.8366821Z 
2025-10-10T00:52:57.8366925Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8367157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8367240Z     return mod(*inputs)
2025-10-10T00:52:57.8367480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8367563Z     x = self.forward_features(x)
2025-10-10T00:52:57.8367830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8367899Z     x = self.layers(x)
2025-10-10T00:52:57.8368143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8368215Z     x = self.blocks(x)
2025-10-10T00:52:57.8368461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8368563Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8368772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8368853Z     x = self.act(x)
2025-10-10T00:52:57.8368857Z 
2025-10-10T00:52:57.8368968Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8369192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8369265Z     return mod(*inputs)
2025-10-10T00:52:57.8369511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8369602Z     x = self.forward_features(x)
2025-10-10T00:52:57.8369881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8369959Z     x = self.layers(x)
2025-10-10T00:52:57.8370200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8370277Z     x = self.blocks(x)
2025-10-10T00:52:57.8370518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8370615Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8370827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8370897Z     x = self.fc2(x)
2025-10-10T00:52:57.8370900Z 
2025-10-10T00:52:57.8371017Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8371226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8371300Z     return mod(*inputs)
2025-10-10T00:52:57.8371550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8371627Z     x = self.forward_features(x)
2025-10-10T00:52:57.8371900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8371971Z     x = self.layers(x)
2025-10-10T00:52:57.8372208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.8372297Z     x = self.downsample(x)
2025-10-10T00:52:57.8372535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 442, in forward
2025-10-10T00:52:57.8372677Z     x = x.reshape(B, H // 2, 2, W // 2, 2, C).permute(0, 1, 3, 4, 2, 5).flatten(3)
2025-10-10T00:52:57.8372681Z 
2025-10-10T00:52:57.8372838Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8373057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8373128Z     return mod(*inputs)
2025-10-10T00:52:57.8373368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8373451Z     x = self.forward_features(x)
2025-10-10T00:52:57.8373748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8373826Z     x = self.layers(x)
2025-10-10T00:52:57.8374060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 554, in forward
2025-10-10T00:52:57.8374151Z     x = self.downsample(x)
2025-10-10T00:52:57.8374381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 444, in forward
2025-10-10T00:52:57.8374455Z     x = self.reduction(x)
2025-10-10T00:52:57.8374459Z 
2025-10-10T00:52:57.8374572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8374768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8374836Z     return mod(*inputs)
2025-10-10T00:52:57.8375066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8375141Z     x = self.forward_features(x)
2025-10-10T00:52:57.8375400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8375469Z     x = self.layers(x)
2025-10-10T00:52:57.8375715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8375782Z     x = self.blocks(x)
2025-10-10T00:52:57.8376017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8376129Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8376365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8376544Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8376782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8376937Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8376941Z 
2025-10-10T00:52:57.8377062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8377271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8377351Z     return mod(*inputs)
2025-10-10T00:52:57.8377585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8377666Z     x = self.forward_features(x)
2025-10-10T00:52:57.8377933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8378002Z     x = self.layers(x)
2025-10-10T00:52:57.8378244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8378316Z     x = self.blocks(x)
2025-10-10T00:52:57.8378557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8378657Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8378888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8379066Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8379337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8379426Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8379430Z 
2025-10-10T00:52:57.8379539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8379744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8379855Z     return mod(*inputs)
2025-10-10T00:52:57.8380088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8380172Z     x = self.forward_features(x)
2025-10-10T00:52:57.8380430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8380506Z     x = self.layers(x)
2025-10-10T00:52:57.8380738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8380811Z     x = self.blocks(x)
2025-10-10T00:52:57.8381056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8381158Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8381405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8381582Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8381821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8381911Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8381915Z 
2025-10-10T00:52:57.8382028Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8382277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8382440Z     return mod(*inputs)
2025-10-10T00:52:57.8382694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8382783Z     x = self.forward_features(x)
2025-10-10T00:52:57.8383053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8383133Z     x = self.layers(x)
2025-10-10T00:52:57.8383381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8383464Z     x = self.blocks(x)
2025-10-10T00:52:57.8383707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8383808Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8384058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8384246Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8384488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8384571Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8384575Z 
2025-10-10T00:52:57.8384686Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8384908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8384981Z     return mod(*inputs)
2025-10-10T00:52:57.8385222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8385300Z     x = self.forward_features(x)
2025-10-10T00:52:57.8385560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8385680Z     x = self.layers(x)
2025-10-10T00:52:57.8385919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8385995Z     x = self.blocks(x)
2025-10-10T00:52:57.8386233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8386338Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8386607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8386778Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8387020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8387088Z     x = attn @ v
2025-10-10T00:52:57.8387092Z 
2025-10-10T00:52:57.8387209Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8387422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8387493Z     return mod(*inputs)
2025-10-10T00:52:57.8387736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8387812Z     x = self.forward_features(x)
2025-10-10T00:52:57.8388082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8388151Z     x = self.layers(x)
2025-10-10T00:52:57.8388386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8388463Z     x = self.blocks(x)
2025-10-10T00:52:57.8388698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8388805Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8389044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8389220Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8389456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8389522Z     x = attn @ v
2025-10-10T00:52:57.8389526Z 
2025-10-10T00:52:57.8389647Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8389860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8389940Z     return mod(*inputs)
2025-10-10T00:52:57.8390176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8390252Z     x = self.forward_features(x)
2025-10-10T00:52:57.8390522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8390596Z     x = self.layers(x)
2025-10-10T00:52:57.8390837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8390908Z     x = self.blocks(x)
2025-10-10T00:52:57.8391140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8391251Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8391485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8391663Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8391897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8391999Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8392038Z 
2025-10-10T00:52:57.8392151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8392363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8392444Z     return mod(*inputs)
2025-10-10T00:52:57.8392677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8392791Z     x = self.forward_features(x)
2025-10-10T00:52:57.8393055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8393125Z     x = self.layers(x)
2025-10-10T00:52:57.8393366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8393434Z     x = self.blocks(x)
2025-10-10T00:52:57.8393677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8393778Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8394009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8394185Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8394424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8394504Z     x = self.proj(x)
2025-10-10T00:52:57.8394508Z 
2025-10-10T00:52:57.8394618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8394832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8394904Z     return mod(*inputs)
2025-10-10T00:52:57.8395140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8395227Z     x = self.forward_features(x)
2025-10-10T00:52:57.8395488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8395563Z     x = self.layers(x)
2025-10-10T00:52:57.8395799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8395866Z     x = self.blocks(x)
2025-10-10T00:52:57.8396113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8396216Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8396429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8396497Z     x = self.fc1(x)
2025-10-10T00:52:57.8396501Z 
2025-10-10T00:52:57.8396618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8396831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8396901Z     return mod(*inputs)
2025-10-10T00:52:57.8397146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8397222Z     x = self.forward_features(x)
2025-10-10T00:52:57.8397487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8397559Z     x = self.layers(x)
2025-10-10T00:52:57.8397792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8397868Z     x = self.blocks(x)
2025-10-10T00:52:57.8398101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8398205Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8398406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8398520Z     x = self.act(x)
2025-10-10T00:52:57.8398531Z 
2025-10-10T00:52:57.8398645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8398859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8398940Z     return mod(*inputs)
2025-10-10T00:52:57.8399214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8399302Z     x = self.forward_features(x)
2025-10-10T00:52:57.8399575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8399646Z     x = self.layers(x)
2025-10-10T00:52:57.8399896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8399967Z     x = self.blocks(x)
2025-10-10T00:52:57.8400218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8400312Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8400502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8400574Z     x = self.fc2(x)
2025-10-10T00:52:57.8400578Z 
2025-10-10T00:52:57.8400685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8400888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8400955Z     return mod(*inputs)
2025-10-10T00:52:57.8401175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8401256Z     x = self.forward_features(x)
2025-10-10T00:52:57.8401514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8401592Z     x = self.layers(x)
2025-10-10T00:52:57.8401826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8401894Z     x = self.blocks(x)
2025-10-10T00:52:57.8402135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8402238Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8402485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8402657Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8402898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 177, in forward
2025-10-10T00:52:57.8403051Z     qkv = self.qkv(x).reshape(B_, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4)
2025-10-10T00:52:57.8403059Z 
2025-10-10T00:52:57.8403174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8403401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8403474Z     return mod(*inputs)
2025-10-10T00:52:57.8403733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8403813Z     x = self.forward_features(x)
2025-10-10T00:52:57.8404072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8404150Z     x = self.layers(x)
2025-10-10T00:52:57.8404382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8404458Z     x = self.blocks(x)
2025-10-10T00:52:57.8404692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8404838Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8405071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8405242Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8405515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8405599Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8405603Z 
2025-10-10T00:52:57.8405724Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8405936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8406010Z     return mod(*inputs)
2025-10-10T00:52:57.8406255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8406336Z     x = self.forward_features(x)
2025-10-10T00:52:57.8406607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8406679Z     x = self.layers(x)
2025-10-10T00:52:57.8406916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8406997Z     x = self.blocks(x)
2025-10-10T00:52:57.8407236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8407345Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8407582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8407763Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8408008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8408095Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8408099Z 
2025-10-10T00:52:57.8408226Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8408441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8408526Z     return mod(*inputs)
2025-10-10T00:52:57.8408773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8408856Z     x = self.forward_features(x)
2025-10-10T00:52:57.8409135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8409211Z     x = self.layers(x)
2025-10-10T00:52:57.8409462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8409538Z     x = self.blocks(x)
2025-10-10T00:52:57.8409786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8409896Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8410132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8410316Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8410553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 193, in forward
2025-10-10T00:52:57.8410643Z     attn = q @ k.transpose(-2, -1)
2025-10-10T00:52:57.8410647Z 
2025-10-10T00:52:57.8410759Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8410972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8411055Z     return mod(*inputs)
2025-10-10T00:52:57.8411325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8411409Z     x = self.forward_features(x)
2025-10-10T00:52:57.8411665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8411734Z     x = self.layers(x)
2025-10-10T00:52:57.8412008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8412080Z     x = self.blocks(x)
2025-10-10T00:52:57.8412331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8412432Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8412679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8413101Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8413350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8413429Z     x = attn @ v
2025-10-10T00:52:57.8413434Z 
2025-10-10T00:52:57.8413550Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8413778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8413851Z     return mod(*inputs)
2025-10-10T00:52:57.8414102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8414189Z     x = self.forward_features(x)
2025-10-10T00:52:57.8414452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8414530Z     x = self.layers(x)
2025-10-10T00:52:57.8414763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8414835Z     x = self.blocks(x)
2025-10-10T00:52:57.8415081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8415180Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8415428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8415601Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8415851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 201, in forward
2025-10-10T00:52:57.8415920Z     x = attn @ v
2025-10-10T00:52:57.8415924Z 
2025-10-10T00:52:57.8416037Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8416260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8416336Z     return mod(*inputs)
2025-10-10T00:52:57.8416596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8416675Z     x = self.forward_features(x)
2025-10-10T00:52:57.8416946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8417027Z     x = self.layers(x)
2025-10-10T00:52:57.8417266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8417344Z     x = self.blocks(x)
2025-10-10T00:52:57.8417583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8417686Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8417932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8418204Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8418453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 203, in forward
2025-10-10T00:52:57.8418548Z     x = x.transpose(1, 2).reshape(B_, N, -1)
2025-10-10T00:52:57.8418553Z 
2025-10-10T00:52:57.8418730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8418946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8419020Z     return mod(*inputs)
2025-10-10T00:52:57.8419269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8419348Z     x = self.forward_features(x)
2025-10-10T00:52:57.8419621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8419696Z     x = self.layers(x)
2025-10-10T00:52:57.8419935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8420016Z     x = self.blocks(x)
2025-10-10T00:52:57.8420256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 406, in forward
2025-10-10T00:52:57.8420367Z     x = x + self.drop_path1(self._attn(self.norm1(x)))
2025-10-10T00:52:57.8420604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 390, in _attn
2025-10-10T00:52:57.8420775Z     attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
2025-10-10T00:52:57.8421022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 204, in forward
2025-10-10T00:52:57.8421095Z     x = self.proj(x)
2025-10-10T00:52:57.8421099Z 
2025-10-10T00:52:57.8421221Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8421436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8421517Z     return mod(*inputs)
2025-10-10T00:52:57.8421755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8421833Z     x = self.forward_features(x)
2025-10-10T00:52:57.8422112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8422195Z     x = self.layers(x)
2025-10-10T00:52:57.8422496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8422574Z     x = self.blocks(x)
2025-10-10T00:52:57.8422813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8422929Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8423134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 44, in forward
2025-10-10T00:52:57.8423211Z     x = self.fc1(x)
2025-10-10T00:52:57.8423216Z 
2025-10-10T00:52:57.8423329Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8423542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8423627Z     return mod(*inputs)
2025-10-10T00:52:57.8423867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8423954Z     x = self.forward_features(x)
2025-10-10T00:52:57.8424228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8424304Z     x = self.layers(x)
2025-10-10T00:52:57.8424536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8424649Z     x = self.blocks(x)
2025-10-10T00:52:57.8424897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8424995Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8425210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 45, in forward
2025-10-10T00:52:57.8425314Z     x = self.act(x)
2025-10-10T00:52:57.8425318Z 
2025-10-10T00:52:57.8425429Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8425644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8425716Z     return mod(*inputs)
2025-10-10T00:52:57.8425957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8426036Z     x = self.forward_features(x)
2025-10-10T00:52:57.8426310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8426389Z     x = self.layers(x)
2025-10-10T00:52:57.8426644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8426720Z     x = self.blocks(x)
2025-10-10T00:52:57.8426954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8427049Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8427262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/mlp.py", line 48, in forward
2025-10-10T00:52:57.8427330Z     x = self.fc2(x)
2025-10-10T00:52:57.8427333Z 
2025-10-10T00:52:57.8427449Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8427654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8427737Z     return mod(*inputs)
2025-10-10T00:52:57.8427971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 838, in forward
2025-10-10T00:52:57.8428046Z     x = self.forward_features(x)
2025-10-10T00:52:57.8428313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 830, in forward_features
2025-10-10T00:52:57.8428381Z     x = self.layers(x)
2025-10-10T00:52:57.8428623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 559, in forward
2025-10-10T00:52:57.8428690Z     x = self.blocks(x)
2025-10-10T00:52:57.8428922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 408, in forward
2025-10-10T00:52:57.8429027Z     x = x + self.drop_path2(self.mlp(self.norm2(x)))
2025-10-10T00:52:57.8429031Z 
2025-10-10T00:52:57.8429122Z cudagraph partition due to non gpu ops
2025-10-10T00:52:57.8429243Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8429449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8429518Z     return mod(*inputs)
2025-10-10T00:52:57.8429754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 839, in forward
2025-10-10T00:52:57.8429832Z     x = self.forward_head(x)
2025-10-10T00:52:57.8430095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 835, in forward_head
2025-10-10T00:52:57.8430242Z     return self.head(x, pre_logits=True) if pre_logits else self.head(x)
2025-10-10T00:52:57.8430473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 128, in forward
2025-10-10T00:52:57.8430549Z     x = self.global_pool(x)
2025-10-10T00:52:57.8430807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:52:57.8430919Z     x = self.pool(x)
2025-10-10T00:52:57.8431170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 65, in forward
2025-10-10T00:52:57.8431285Z     return x.mean(self.dim, keepdim=not self.flatten)
2025-10-10T00:52:57.8431289Z 
2025-10-10T00:52:57.8431398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:57.8431637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:52:57.8431718Z     return mod(*inputs)
2025-10-10T00:52:57.8431956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 839, in forward
2025-10-10T00:52:57.8432040Z     x = self.forward_head(x)
2025-10-10T00:52:57.8432294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/swin_transformer.py", line 835, in forward_head
2025-10-10T00:52:57.8432439Z     return self.head(x, pre_logits=True) if pre_logits else self.head(x)
2025-10-10T00:52:57.8432677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/classifier.py", line 132, in forward
2025-10-10T00:52:57.8432746Z     x = self.fc(x)
2025-10-10T00:52:57.8432750Z 
2025-10-10T00:53:31.4679887Z Compilation time (from dynamo_timed): 132.957781319
2025-10-10T00:53:31.4680183Z pass
2025-10-10T00:53:31.4685036Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:53:31.4686320Z TIMING: _recursive_pre_grad_passes:0.01683 _recursive_joint_graph_passes:1.55861 _recursive_post_grad_passes:0.90889 async_compile.wait:1.58877 code_gen:34.23922 inductor_compile:48.90327 backend_compile:110.4618 gc:0.00019 entire_frame_compile:132.95778 total_wall_time:132.95778
2025-10-10T00:53:31.4687581Z STATS: call_* op count: 1284 | FakeTensorMode.__torch_dispatch__:23450 | attempt fast:382 | fast is_contiguous:370 | FakeTensor.__torch_dispatch__:12724 | slow no contiguity match:12 | ProxyTorchDispatchMode.__torch_dispatch__:5451
2025-10-10T00:53:31.4688279Z Dynamo produced 1 graphs covering 1284 ops with 0 graph breaks (0 unique)
2025-10-10T00:54:04.7054004Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:54:04.7056516Z   import pynvml  # type: ignore[import]
2025-10-10T00:54:06.9972262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:54:06.9973748Z   warnings.warn(
2025-10-10T00:54:06.9975062Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:54:06.9976358Z   warnings.warn(
2025-10-10T00:54:07.4565939Z 
2025-10-10T00:54:07.5849552Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:54:07.5849802Z 
2025-10-10T00:54:07.9930453Z model.safetensors:   0% 0.00/21.4M [00:00<?, ?B/s]
2025-10-10T00:54:07.9930707Z 
2025-10-10T00:54:08.0177078Z model.safetensors:   1% 131k/21.4M [00:00<01:06, 321kB/s]
2025-10-10T00:54:08.0177472Z model.safetensors: 100% 21.4M/21.4M [00:00<00:00, 49.3MB/s]
2025-10-10T00:54:08.1863143Z 
2025-10-10T00:54:08.1864013Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:54:08.1882525Z cpu  eval  tf_efficientnet_b0                 
2025-10-10T00:54:09.2110952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:09.3068256Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:09.5921244Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:27.7137540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7138372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7138799Z     return mod(*inputs)
2025-10-10T00:54:27.7139209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7139675Z     x = self.forward_features(x)
2025-10-10T00:54:27.7140107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 251, in forward_features
2025-10-10T00:54:27.7140534Z     x = self.conv_stem(x)
2025-10-10T00:54:27.7140907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7141303Z     return conv2d_same(
2025-10-10T00:54:27.7141809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same
2025-10-10T00:54:27.7142302Z     x = pad_same(x, weight.shape[-2:], stride, dilation)
2025-10-10T00:54:27.7143045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same
2025-10-10T00:54:27.7143517Z     x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value)
2025-10-10T00:54:27.7143977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5406, in pad
2025-10-10T00:54:27.7144381Z     return torch._C._nn.pad(input, pad, mode, value)
2025-10-10T00:54:27.7144570Z 
2025-10-10T00:54:27.7144663Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7144922Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7145296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7145629Z     return mod(*inputs)
2025-10-10T00:54:27.7145995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7146392Z     x = self.forward_features(x)
2025-10-10T00:54:27.7146801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 251, in forward_features
2025-10-10T00:54:27.7147216Z     x = self.conv_stem(x)
2025-10-10T00:54:27.7147580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7147952Z     return conv2d_same(
2025-10-10T00:54:27.7148319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same
2025-10-10T00:54:27.7148772Z     return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
2025-10-10T00:54:27.7148987Z 
2025-10-10T00:54:27.7149110Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7149527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7149887Z     return mod(*inputs)
2025-10-10T00:54:27.7150252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7150634Z     x = self.forward_features(x)
2025-10-10T00:54:27.7151037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7151830Z     x = self.blocks(x)
2025-10-10T00:54:27.7152214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 190, in forward
2025-10-10T00:54:27.7152609Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7152732Z 
2025-10-10T00:54:27.7152854Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7153337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7153701Z     return mod(*inputs)
2025-10-10T00:54:27.7154062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7154443Z     x = self.forward_features(x)
2025-10-10T00:54:27.7154855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7155262Z     x = self.blocks(x)
2025-10-10T00:54:27.7155636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward
2025-10-10T00:54:27.7156033Z     x = self.bn1(x)
2025-10-10T00:54:27.7156365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7156736Z     x = F.batch_norm(
2025-10-10T00:54:27.7156844Z 
2025-10-10T00:54:27.7156967Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7157381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7157746Z     return mod(*inputs)
2025-10-10T00:54:27.7158119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7159839Z     x = self.forward_features(x)
2025-10-10T00:54:27.7160547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7161059Z     x = self.blocks(x)
2025-10-10T00:54:27.7161603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 191, in forward
2025-10-10T00:54:27.7162062Z     x = self.bn1(x)
2025-10-10T00:54:27.7162732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7163196Z     x = self.act(x)
2025-10-10T00:54:27.7163306Z 
2025-10-10T00:54:27.7163511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7164044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7164523Z     return mod(*inputs)
2025-10-10T00:54:27.7165114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7166040Z     x = self.forward_features(x)
2025-10-10T00:54:27.7166596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7167166Z     x = self.blocks(x)
2025-10-10T00:54:27.7167603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward
2025-10-10T00:54:27.7168053Z     x = self.se(x)
2025-10-10T00:54:27.7168430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7168844Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7169028Z 
2025-10-10T00:54:27.7169214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7169717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7170086Z     return mod(*inputs)
2025-10-10T00:54:27.7170456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7170841Z     x = self.forward_features(x)
2025-10-10T00:54:27.7171242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7172240Z     x = self.blocks(x)
2025-10-10T00:54:27.7172625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward
2025-10-10T00:54:27.7173032Z     x = self.se(x)
2025-10-10T00:54:27.7173512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7174154Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7174288Z 
2025-10-10T00:54:27.7174421Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7174907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7175292Z     return mod(*inputs)
2025-10-10T00:54:27.7175809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7176313Z     x = self.forward_features(x)
2025-10-10T00:54:27.7176868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7177440Z     x = self.blocks(x)
2025-10-10T00:54:27.7177836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward
2025-10-10T00:54:27.7178252Z     x = self.se(x)
2025-10-10T00:54:27.7178784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7179257Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7179421Z 
2025-10-10T00:54:27.7179583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7180169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7180700Z     return mod(*inputs)
2025-10-10T00:54:27.7181105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7181796Z     x = self.forward_features(x)
2025-10-10T00:54:27.7182276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7182875Z     x = self.blocks(x)
2025-10-10T00:54:27.7183379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward
2025-10-10T00:54:27.7183934Z     x = self.se(x)
2025-10-10T00:54:27.7184418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7184952Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7185084Z 
2025-10-10T00:54:27.7185211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7185616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7185972Z     return mod(*inputs)
2025-10-10T00:54:27.7186361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7186782Z     x = self.forward_features(x)
2025-10-10T00:54:27.7187189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7187595Z     x = self.blocks(x)
2025-10-10T00:54:27.7187972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 193, in forward
2025-10-10T00:54:27.7188479Z     x = self.se(x)
2025-10-10T00:54:27.7188844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7189243Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7189387Z 
2025-10-10T00:54:27.7189507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7189911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7190331Z     return mod(*inputs)
2025-10-10T00:54:27.7190699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7191080Z     x = self.forward_features(x)
2025-10-10T00:54:27.7191478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7191894Z     x = self.blocks(x)
2025-10-10T00:54:27.7192308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 194, in forward
2025-10-10T00:54:27.7192706Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7192825Z 
2025-10-10T00:54:27.7192936Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7193324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7193667Z     return mod(*inputs)
2025-10-10T00:54:27.7193992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7194342Z     x = self.forward_features(x)
2025-10-10T00:54:27.7194707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7195072Z     x = self.blocks(x)
2025-10-10T00:54:27.7195422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 195, in forward
2025-10-10T00:54:27.7195795Z     x = self.bn2(x)
2025-10-10T00:54:27.7196120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7196471Z     x = F.batch_norm(
2025-10-10T00:54:27.7196576Z 
2025-10-10T00:54:27.7196694Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7197081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7197418Z     return mod(*inputs)
2025-10-10T00:54:27.7197766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7198143Z     x = self.forward_features(x)
2025-10-10T00:54:27.7198528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7198909Z     x = self.blocks(x)
2025-10-10T00:54:27.7199276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7199665Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7199776Z 
2025-10-10T00:54:27.7199898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7200288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7200630Z     return mod(*inputs)
2025-10-10T00:54:27.7200980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7201347Z     x = self.forward_features(x)
2025-10-10T00:54:27.7201736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7202115Z     x = self.blocks(x)
2025-10-10T00:54:27.7202475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:54:27.7202852Z     x = self.bn1(x)
2025-10-10T00:54:27.7203179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7203526Z     x = F.batch_norm(
2025-10-10T00:54:27.7203631Z 
2025-10-10T00:54:27.7203743Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7204130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7204475Z     return mod(*inputs)
2025-10-10T00:54:27.7204821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7205224Z     x = self.forward_features(x)
2025-10-10T00:54:27.7205612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7205998Z     x = self.blocks(x)
2025-10-10T00:54:27.7206360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7207619Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7207965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7208327Z     return conv2d_same(
2025-10-10T00:54:27.7208675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same
2025-10-10T00:54:27.7209092Z     x = pad_same(x, weight.shape[-2:], stride, dilation)
2025-10-10T00:54:27.7209480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same
2025-10-10T00:54:27.7209929Z     x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value)
2025-10-10T00:54:27.7210356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5406, in pad
2025-10-10T00:54:27.7210743Z     return torch._C._nn.pad(input, pad, mode, value)
2025-10-10T00:54:27.7210910Z 
2025-10-10T00:54:27.7211035Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7211417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7211764Z     return mod(*inputs)
2025-10-10T00:54:27.7212110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7212486Z     x = self.forward_features(x)
2025-10-10T00:54:27.7213347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7213749Z     x = self.blocks(x)
2025-10-10T00:54:27.7214122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7214507Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7214842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7215194Z     return conv2d_same(
2025-10-10T00:54:27.7215547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same
2025-10-10T00:54:27.7215993Z     return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
2025-10-10T00:54:27.7216195Z 
2025-10-10T00:54:27.7216317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7216706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7217052Z     return mod(*inputs)
2025-10-10T00:54:27.7217409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7217794Z     x = self.forward_features(x)
2025-10-10T00:54:27.7218192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7218583Z     x = self.blocks(x)
2025-10-10T00:54:27.7218944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7219321Z     x = self.bn2(x)
2025-10-10T00:54:27.7219645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7219990Z     x = F.batch_norm(
2025-10-10T00:54:27.7220097Z 
2025-10-10T00:54:27.7220208Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7220588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7221066Z     return mod(*inputs)
2025-10-10T00:54:27.7221422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7221795Z     x = self.forward_features(x)
2025-10-10T00:54:27.7222189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7222857Z     x = self.blocks(x)
2025-10-10T00:54:27.7223311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7223700Z     x = self.bn2(x)
2025-10-10T00:54:27.7224022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7224372Z     x = self.act(x)
2025-10-10T00:54:27.7224475Z 
2025-10-10T00:54:27.7224597Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7224990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7225335Z     return mod(*inputs)
2025-10-10T00:54:27.7225716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7226098Z     x = self.forward_features(x)
2025-10-10T00:54:27.7226488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7226885Z     x = self.blocks(x)
2025-10-10T00:54:27.7227245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7227627Z     x = self.se(x)
2025-10-10T00:54:27.7227977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7228368Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7228511Z 
2025-10-10T00:54:27.7228618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7228991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7229318Z     return mod(*inputs)
2025-10-10T00:54:27.7229645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7230001Z     x = self.forward_features(x)
2025-10-10T00:54:27.7230366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7230738Z     x = self.blocks(x)
2025-10-10T00:54:27.7231079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7231437Z     x = self.se(x)
2025-10-10T00:54:27.7231761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7232127Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7232247Z 
2025-10-10T00:54:27.7232360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7232741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7233101Z     return mod(*inputs)
2025-10-10T00:54:27.7233449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7233818Z     x = self.forward_features(x)
2025-10-10T00:54:27.7234200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7234577Z     x = self.blocks(x)
2025-10-10T00:54:27.7234920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7235290Z     x = self.se(x)
2025-10-10T00:54:27.7235631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7236058Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7236190Z 
2025-10-10T00:54:27.7236303Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7236684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7237026Z     return mod(*inputs)
2025-10-10T00:54:27.7237367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7237774Z     x = self.forward_features(x)
2025-10-10T00:54:27.7238161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7238558Z     x = self.blocks(x)
2025-10-10T00:54:27.7238907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7239278Z     x = self.se(x)
2025-10-10T00:54:27.7239609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7239974Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7240101Z 
2025-10-10T00:54:27.7240205Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7240574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7240906Z     return mod(*inputs)
2025-10-10T00:54:27.7241221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7241568Z     x = self.forward_features(x)
2025-10-10T00:54:27.7241926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7242285Z     x = self.blocks(x)
2025-10-10T00:54:27.7242621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7242962Z     x = self.se(x)
2025-10-10T00:54:27.7243290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7243646Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7243764Z 
2025-10-10T00:54:27.7243878Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7244230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7244551Z     return mod(*inputs)
2025-10-10T00:54:27.7244883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7245229Z     x = self.forward_features(x)
2025-10-10T00:54:27.7245585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7245936Z     x = self.blocks(x)
2025-10-10T00:54:27.7246268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7246625Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7246733Z 
2025-10-10T00:54:27.7246850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7247238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7247587Z     return mod(*inputs)
2025-10-10T00:54:27.7247970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7248352Z     x = self.forward_features(x)
2025-10-10T00:54:27.7248738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7249111Z     x = self.blocks(x)
2025-10-10T00:54:27.7249440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7249788Z     x = self.bn3(x)
2025-10-10T00:54:27.7250087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7250455Z     x = F.batch_norm(
2025-10-10T00:54:27.7250565Z 
2025-10-10T00:54:27.7250672Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7251049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7251373Z     return mod(*inputs)
2025-10-10T00:54:27.7251730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7252075Z     x = self.forward_features(x)
2025-10-10T00:54:27.7252439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7252800Z     x = self.blocks(x)
2025-10-10T00:54:27.7253130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7253500Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7253607Z 
2025-10-10T00:54:27.7253709Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7254071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7254438Z     return mod(*inputs)
2025-10-10T00:54:27.7254751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7255085Z     x = self.forward_features(x)
2025-10-10T00:54:27.7255444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7255802Z     x = self.blocks(x)
2025-10-10T00:54:27.7256144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7256503Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7256605Z 
2025-10-10T00:54:27.7256709Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7257076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7257409Z     return mod(*inputs)
2025-10-10T00:54:27.7257756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7258120Z     x = self.forward_features(x)
2025-10-10T00:54:27.7258523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7258922Z     x = self.blocks(x)
2025-10-10T00:54:27.7259292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7259648Z     x = self.bn2(x)
2025-10-10T00:54:27.7259946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7260276Z     x = F.batch_norm(
2025-10-10T00:54:27.7260374Z 
2025-10-10T00:54:27.7260490Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7260858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7261178Z     return mod(*inputs)
2025-10-10T00:54:27.7261505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7261861Z     x = self.forward_features(x)
2025-10-10T00:54:27.7262230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7262678Z     x = self.blocks(x)
2025-10-10T00:54:27.7263018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7263405Z     x = self.bn2(x)
2025-10-10T00:54:27.7263738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7264096Z     x = self.act(x)
2025-10-10T00:54:27.7264260Z 
2025-10-10T00:54:27.7264375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7264762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7265089Z     return mod(*inputs)
2025-10-10T00:54:27.7265419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7265773Z     x = self.forward_features(x)
2025-10-10T00:54:27.7266171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7266542Z     x = self.blocks(x)
2025-10-10T00:54:27.7266885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7267273Z     x = self.se(x)
2025-10-10T00:54:27.7267614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7268018Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7268159Z 
2025-10-10T00:54:27.7268280Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7268644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7268968Z     return mod(*inputs)
2025-10-10T00:54:27.7269289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7269644Z     x = self.forward_features(x)
2025-10-10T00:54:27.7270064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7270434Z     x = self.blocks(x)
2025-10-10T00:54:27.7270766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7271127Z     x = self.se(x)
2025-10-10T00:54:27.7271460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7271826Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7271938Z 
2025-10-10T00:54:27.7272049Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7272407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7272735Z     return mod(*inputs)
2025-10-10T00:54:27.7273066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7273417Z     x = self.forward_features(x)
2025-10-10T00:54:27.7273773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7274143Z     x = self.blocks(x)
2025-10-10T00:54:27.7274485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7274838Z     x = self.se(x)
2025-10-10T00:54:27.7275155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7275503Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7275630Z 
2025-10-10T00:54:27.7275730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7276100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7276430Z     return mod(*inputs)
2025-10-10T00:54:27.7276758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7277128Z     x = self.forward_features(x)
2025-10-10T00:54:27.7277512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7277899Z     x = self.blocks(x)
2025-10-10T00:54:27.7278255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7278664Z     x = self.se(x)
2025-10-10T00:54:27.7279004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7279390Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7279507Z 
2025-10-10T00:54:27.7279624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7280069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7280402Z     return mod(*inputs)
2025-10-10T00:54:27.7280730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7281087Z     x = self.forward_features(x)
2025-10-10T00:54:27.7281456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7281816Z     x = self.blocks(x)
2025-10-10T00:54:27.7282171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7282531Z     x = self.se(x)
2025-10-10T00:54:27.7282864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7283225Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7283352Z 
2025-10-10T00:54:27.7283459Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7283830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7284161Z     return mod(*inputs)
2025-10-10T00:54:27.7284491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7284836Z     x = self.forward_features(x)
2025-10-10T00:54:27.7285204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7285578Z     x = self.blocks(x)
2025-10-10T00:54:27.7285917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7286270Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7286389Z 
2025-10-10T00:54:27.7286493Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7286854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7287192Z     return mod(*inputs)
2025-10-10T00:54:27.7287538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7287903Z     x = self.forward_features(x)
2025-10-10T00:54:27.7288290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7288691Z     x = self.blocks(x)
2025-10-10T00:54:27.7289049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7289432Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7289573Z 
2025-10-10T00:54:27.7289679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7290045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7290380Z     return mod(*inputs)
2025-10-10T00:54:27.7290709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7291054Z     x = self.forward_features(x)
2025-10-10T00:54:27.7291423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7291791Z     x = self.blocks(x)
2025-10-10T00:54:27.7292143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7292571Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7292686Z 
2025-10-10T00:54:27.7292797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7293195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7293538Z     return mod(*inputs)
2025-10-10T00:54:27.7293859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7294245Z     x = self.forward_features(x)
2025-10-10T00:54:27.7294624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7294995Z     x = self.blocks(x)
2025-10-10T00:54:27.7295356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:54:27.7295749Z     x = self.bn1(x)
2025-10-10T00:54:27.7296068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7296436Z     x = F.batch_norm(
2025-10-10T00:54:27.7296543Z 
2025-10-10T00:54:27.7296662Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7297061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7297399Z     return mod(*inputs)
2025-10-10T00:54:27.7297749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7298128Z     x = self.forward_features(x)
2025-10-10T00:54:27.7298519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7298913Z     x = self.blocks(x)
2025-10-10T00:54:27.7299269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7299652Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7299995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7300363Z     return conv2d_same(
2025-10-10T00:54:27.7300705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same
2025-10-10T00:54:27.7301135Z     x = pad_same(x, weight.shape[-2:], stride, dilation)
2025-10-10T00:54:27.7301541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same
2025-10-10T00:54:27.7301980Z     x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value)
2025-10-10T00:54:27.7302414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5406, in pad
2025-10-10T00:54:27.7302920Z     return torch._C._nn.pad(input, pad, mode, value)
2025-10-10T00:54:27.7303103Z 
2025-10-10T00:54:27.7303218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7303612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7303979Z     return mod(*inputs)
2025-10-10T00:54:27.7304344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7304708Z     x = self.forward_features(x)
2025-10-10T00:54:27.7305080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7305460Z     x = self.blocks(x)
2025-10-10T00:54:27.7305830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7306210Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7306556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7306923Z     return conv2d_same(
2025-10-10T00:54:27.7307284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same
2025-10-10T00:54:27.7307776Z     return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
2025-10-10T00:54:27.7307984Z 
2025-10-10T00:54:27.7308100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7308495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7308847Z     return mod(*inputs)
2025-10-10T00:54:27.7309236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7309609Z     x = self.forward_features(x)
2025-10-10T00:54:27.7309998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7310383Z     x = self.blocks(x)
2025-10-10T00:54:27.7310740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7311117Z     x = self.bn2(x)
2025-10-10T00:54:27.7311439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7311790Z     x = F.batch_norm(
2025-10-10T00:54:27.7311900Z 
2025-10-10T00:54:27.7312023Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7312426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7312951Z     return mod(*inputs)
2025-10-10T00:54:27.7313318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7313696Z     x = self.forward_features(x)
2025-10-10T00:54:27.7314087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7314467Z     x = self.blocks(x)
2025-10-10T00:54:27.7314834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7315224Z     x = self.bn2(x)
2025-10-10T00:54:27.7315552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7315901Z     x = self.act(x)
2025-10-10T00:54:27.7316004Z 
2025-10-10T00:54:27.7316117Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7316494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7316823Z     return mod(*inputs)
2025-10-10T00:54:27.7317149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7317494Z     x = self.forward_features(x)
2025-10-10T00:54:27.7317870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7318267Z     x = self.blocks(x)
2025-10-10T00:54:27.7318632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7319011Z     x = self.se(x)
2025-10-10T00:54:27.7319367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7319773Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7319914Z 
2025-10-10T00:54:27.7320029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7320424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7320772Z     return mod(*inputs)
2025-10-10T00:54:27.7321109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7321481Z     x = self.forward_features(x)
2025-10-10T00:54:27.7321874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7322251Z     x = self.blocks(x)
2025-10-10T00:54:27.7322691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7323081Z     x = self.se(x)
2025-10-10T00:54:27.7323423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7323800Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7323918Z 
2025-10-10T00:54:27.7324085Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7324466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7324809Z     return mod(*inputs)
2025-10-10T00:54:27.7325156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7325534Z     x = self.forward_features(x)
2025-10-10T00:54:27.7325890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7326255Z     x = self.blocks(x)
2025-10-10T00:54:27.7326591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7326943Z     x = self.se(x)
2025-10-10T00:54:27.7327275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7327635Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7327773Z 
2025-10-10T00:54:27.7327883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7328264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7328606Z     return mod(*inputs)
2025-10-10T00:54:27.7328944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7329310Z     x = self.forward_features(x)
2025-10-10T00:54:27.7329680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7330049Z     x = self.blocks(x)
2025-10-10T00:54:27.7330388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7330734Z     x = self.se(x)
2025-10-10T00:54:27.7331074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7331458Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7331586Z 
2025-10-10T00:54:27.7331706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7332081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7332428Z     return mod(*inputs)
2025-10-10T00:54:27.7332777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7333150Z     x = self.forward_features(x)
2025-10-10T00:54:27.7333537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7333917Z     x = self.blocks(x)
2025-10-10T00:54:27.7334274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7334648Z     x = self.se(x)
2025-10-10T00:54:27.7334998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7335377Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7335510Z 
2025-10-10T00:54:27.7335621Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7336009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7336353Z     return mod(*inputs)
2025-10-10T00:54:27.7336701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7337115Z     x = self.forward_features(x)
2025-10-10T00:54:27.7337506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7337897Z     x = self.blocks(x)
2025-10-10T00:54:27.7338265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7338710Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7338841Z 
2025-10-10T00:54:27.7338954Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7339340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7339684Z     return mod(*inputs)
2025-10-10T00:54:27.7340031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7340399Z     x = self.forward_features(x)
2025-10-10T00:54:27.7340793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7341179Z     x = self.blocks(x)
2025-10-10T00:54:27.7341539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7341907Z     x = self.bn3(x)
2025-10-10T00:54:27.7342237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7342670Z     x = F.batch_norm(
2025-10-10T00:54:27.7342781Z 
2025-10-10T00:54:27.7342902Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7343303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7343639Z     return mod(*inputs)
2025-10-10T00:54:27.7343989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7344373Z     x = self.forward_features(x)
2025-10-10T00:54:27.7344762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7345145Z     x = self.blocks(x)
2025-10-10T00:54:27.7345510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7345890Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7346002Z 
2025-10-10T00:54:27.7346125Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7346512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7346849Z     return mod(*inputs)
2025-10-10T00:54:27.7347196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7347571Z     x = self.forward_features(x)
2025-10-10T00:54:27.7347959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7348346Z     x = self.blocks(x)
2025-10-10T00:54:27.7348712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7349094Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7349200Z 
2025-10-10T00:54:27.7349327Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7349698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7350020Z     return mod(*inputs)
2025-10-10T00:54:27.7350347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7350702Z     x = self.forward_features(x)
2025-10-10T00:54:27.7351067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7351425Z     x = self.blocks(x)
2025-10-10T00:54:27.7351824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7352202Z     x = self.bn2(x)
2025-10-10T00:54:27.7352521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7352853Z     x = F.batch_norm(
2025-10-10T00:54:27.7357189Z 
2025-10-10T00:54:27.7357313Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7357795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7358173Z     return mod(*inputs)
2025-10-10T00:54:27.7358518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7358896Z     x = self.forward_features(x)
2025-10-10T00:54:27.7359265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7359640Z     x = self.blocks(x)
2025-10-10T00:54:27.7359984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7360338Z     x = self.bn2(x)
2025-10-10T00:54:27.7360648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7361012Z     x = self.act(x)
2025-10-10T00:54:27.7361109Z 
2025-10-10T00:54:27.7361218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7361586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7361914Z     return mod(*inputs)
2025-10-10T00:54:27.7362244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7362596Z     x = self.forward_features(x)
2025-10-10T00:54:27.7362955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7363323Z     x = self.blocks(x)
2025-10-10T00:54:27.7363664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7364021Z     x = self.se(x)
2025-10-10T00:54:27.7364346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7364719Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7364854Z 
2025-10-10T00:54:27.7364958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7365325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7365652Z     return mod(*inputs)
2025-10-10T00:54:27.7365965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7366315Z     x = self.forward_features(x)
2025-10-10T00:54:27.7366686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7367095Z     x = self.blocks(x)
2025-10-10T00:54:27.7367455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7367860Z     x = self.se(x)
2025-10-10T00:54:27.7368232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7368620Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7368739Z 
2025-10-10T00:54:27.7368859Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7369234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7369582Z     return mod(*inputs)
2025-10-10T00:54:27.7369907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7370283Z     x = self.forward_features(x)
2025-10-10T00:54:27.7370641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7371008Z     x = self.blocks(x)
2025-10-10T00:54:27.7371353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7371774Z     x = self.se(x)
2025-10-10T00:54:27.7372147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7372509Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7372642Z 
2025-10-10T00:54:27.7372749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7373113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7373440Z     return mod(*inputs)
2025-10-10T00:54:27.7373761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7374118Z     x = self.forward_features(x)
2025-10-10T00:54:27.7374484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7374849Z     x = self.blocks(x)
2025-10-10T00:54:27.7375195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7375542Z     x = self.se(x)
2025-10-10T00:54:27.7375872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7376236Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7376354Z 
2025-10-10T00:54:27.7376467Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7376833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7377176Z     return mod(*inputs)
2025-10-10T00:54:27.7377523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7377894Z     x = self.forward_features(x)
2025-10-10T00:54:27.7378286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7378684Z     x = self.blocks(x)
2025-10-10T00:54:27.7379047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7379423Z     x = self.se(x)
2025-10-10T00:54:27.7379771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7380148Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7380280Z 
2025-10-10T00:54:27.7380392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7380776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7381122Z     return mod(*inputs)
2025-10-10T00:54:27.7381467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7381831Z     x = self.forward_features(x)
2025-10-10T00:54:27.7382214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7382741Z     x = self.blocks(x)
2025-10-10T00:54:27.7383123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7383514Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7383660Z 
2025-10-10T00:54:27.7383770Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7384162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7384511Z     return mod(*inputs)
2025-10-10T00:54:27.7384885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7385248Z     x = self.forward_features(x)
2025-10-10T00:54:27.7385633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7386018Z     x = self.blocks(x)
2025-10-10T00:54:27.7386421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7386851Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7386997Z 
2025-10-10T00:54:27.7387107Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7387504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7387848Z     return mod(*inputs)
2025-10-10T00:54:27.7388197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7388570Z     x = self.forward_features(x)
2025-10-10T00:54:27.7388948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7389338Z     x = self.blocks(x)
2025-10-10T00:54:27.7389698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7390077Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7390189Z 
2025-10-10T00:54:27.7390308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7390685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7391025Z     return mod(*inputs)
2025-10-10T00:54:27.7391369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7391740Z     x = self.forward_features(x)
2025-10-10T00:54:27.7392117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7392503Z     x = self.blocks(x)
2025-10-10T00:54:27.7392861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:54:27.7393236Z     x = self.bn1(x)
2025-10-10T00:54:27.7393531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7393866Z     x = F.batch_norm(
2025-10-10T00:54:27.7393972Z 
2025-10-10T00:54:27.7394077Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7394439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7394766Z     return mod(*inputs)
2025-10-10T00:54:27.7395082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7395434Z     x = self.forward_features(x)
2025-10-10T00:54:27.7395797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7396163Z     x = self.blocks(x)
2025-10-10T00:54:27.7396493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7396861Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7397199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7397607Z     return conv2d_same(
2025-10-10T00:54:27.7397962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same
2025-10-10T00:54:27.7398382Z     x = pad_same(x, weight.shape[-2:], stride, dilation)
2025-10-10T00:54:27.7398781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same
2025-10-10T00:54:27.7399224Z     x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value)
2025-10-10T00:54:27.7399685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5406, in pad
2025-10-10T00:54:27.7400051Z     return torch._C._nn.pad(input, pad, mode, value)
2025-10-10T00:54:27.7400211Z 
2025-10-10T00:54:27.7400322Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7400747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7401081Z     return mod(*inputs)
2025-10-10T00:54:27.7401424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7401814Z     x = self.forward_features(x)
2025-10-10T00:54:27.7402217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7402614Z     x = self.blocks(x)
2025-10-10T00:54:27.7402986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7403378Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7403693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7404038Z     return conv2d_same(
2025-10-10T00:54:27.7404369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same
2025-10-10T00:54:27.7404814Z     return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
2025-10-10T00:54:27.7405014Z 
2025-10-10T00:54:27.7405130Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7405527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7405877Z     return mod(*inputs)
2025-10-10T00:54:27.7406230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7406621Z     x = self.forward_features(x)
2025-10-10T00:54:27.7407019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7407425Z     x = self.blocks(x)
2025-10-10T00:54:27.7407805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7408218Z     x = self.bn2(x)
2025-10-10T00:54:27.7408544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7408897Z     x = F.batch_norm(
2025-10-10T00:54:27.7409016Z 
2025-10-10T00:54:27.7409131Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7409524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7409873Z     return mod(*inputs)
2025-10-10T00:54:27.7410222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7410581Z     x = self.forward_features(x)
2025-10-10T00:54:27.7410969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7411363Z     x = self.blocks(x)
2025-10-10T00:54:27.7411720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 289, in forward
2025-10-10T00:54:27.7412108Z     x = self.bn2(x)
2025-10-10T00:54:27.7412435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 127, in forward
2025-10-10T00:54:27.7413009Z     x = self.act(x)
2025-10-10T00:54:27.7413114Z 
2025-10-10T00:54:27.7413235Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7413618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7413965Z     return mod(*inputs)
2025-10-10T00:54:27.7414384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7414768Z     x = self.forward_features(x)
2025-10-10T00:54:27.7415150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7415548Z     x = self.blocks(x)
2025-10-10T00:54:27.7415966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7416383Z     x = self.se(x)
2025-10-10T00:54:27.7416742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7417127Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7417276Z 
2025-10-10T00:54:27.7417389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7417796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7418174Z     return mod(*inputs)
2025-10-10T00:54:27.7418533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7418939Z     x = self.forward_features(x)
2025-10-10T00:54:27.7419343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7419762Z     x = self.blocks(x)
2025-10-10T00:54:27.7420130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7420516Z     x = self.se(x)
2025-10-10T00:54:27.7420879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7421276Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7421410Z 
2025-10-10T00:54:27.7421530Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7421927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7422267Z     return mod(*inputs)
2025-10-10T00:54:27.7422667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7423056Z     x = self.forward_features(x)
2025-10-10T00:54:27.7423453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7423860Z     x = self.blocks(x)
2025-10-10T00:54:27.7424218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7424593Z     x = self.se(x)
2025-10-10T00:54:27.7424942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7425345Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7425480Z 
2025-10-10T00:54:27.7425594Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7425987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7426366Z     return mod(*inputs)
2025-10-10T00:54:27.7426717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7427081Z     x = self.forward_features(x)
2025-10-10T00:54:27.7427474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7427860Z     x = self.blocks(x)
2025-10-10T00:54:27.7428214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7428591Z     x = self.se(x)
2025-10-10T00:54:27.7428928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7429315Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7429478Z 
2025-10-10T00:54:27.7429600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7429990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7430329Z     return mod(*inputs)
2025-10-10T00:54:27.7430680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7431087Z     x = self.forward_features(x)
2025-10-10T00:54:27.7431498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7431885Z     x = self.blocks(x)
2025-10-10T00:54:27.7432236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7432616Z     x = self.se(x)
2025-10-10T00:54:27.7432967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7433355Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7433481Z 
2025-10-10T00:54:27.7433593Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7433994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7434362Z     return mod(*inputs)
2025-10-10T00:54:27.7434705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7435093Z     x = self.forward_features(x)
2025-10-10T00:54:27.7435462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7435856Z     x = self.blocks(x)
2025-10-10T00:54:27.7436208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7436597Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7436714Z 
2025-10-10T00:54:27.7436829Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7437224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7437567Z     return mod(*inputs)
2025-10-10T00:54:27.7437921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7438309Z     x = self.forward_features(x)
2025-10-10T00:54:27.7438694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7439084Z     x = self.blocks(x)
2025-10-10T00:54:27.7439444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7439830Z     x = self.bn3(x)
2025-10-10T00:54:27.7440127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7440466Z     x = F.batch_norm(
2025-10-10T00:54:27.7440575Z 
2025-10-10T00:54:27.7440681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7441048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7441375Z     return mod(*inputs)
2025-10-10T00:54:27.7441698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7442063Z     x = self.forward_features(x)
2025-10-10T00:54:27.7442435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7442809Z     x = self.blocks(x)
2025-10-10T00:54:27.7443144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7443506Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7443617Z 
2025-10-10T00:54:27.7443724Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7444120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7444445Z     return mod(*inputs)
2025-10-10T00:54:27.7444763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7445118Z     x = self.forward_features(x)
2025-10-10T00:54:27.7445515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7445903Z     x = self.blocks(x)
2025-10-10T00:54:27.7446236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7446600Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7446708Z 
2025-10-10T00:54:27.7446794Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7447036Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7447410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7447749Z     return mod(*inputs)
2025-10-10T00:54:27.7448098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7448474Z     x = self.forward_features(x)
2025-10-10T00:54:27.7448873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7449269Z     x = self.blocks(x)
2025-10-10T00:54:27.7449641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7450022Z     x = self.se(x)
2025-10-10T00:54:27.7450349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7450716Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7450847Z 
2025-10-10T00:54:27.7450952Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7451311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7451643Z     return mod(*inputs)
2025-10-10T00:54:27.7451996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7452363Z     x = self.forward_features(x)
2025-10-10T00:54:27.7452757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7453142Z     x = self.blocks(x)
2025-10-10T00:54:27.7453511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7453872Z     x = self.se(x)
2025-10-10T00:54:27.7454184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7454544Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7454676Z 
2025-10-10T00:54:27.7454783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7455153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7455475Z     return mod(*inputs)
2025-10-10T00:54:27.7455811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7456170Z     x = self.forward_features(x)
2025-10-10T00:54:27.7456539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7456937Z     x = self.blocks(x)
2025-10-10T00:54:27.7457309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7457686Z     x = self.se(x)
2025-10-10T00:54:27.7458035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7458452Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7458572Z 
2025-10-10T00:54:27.7458684Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7459079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7459429Z     return mod(*inputs)
2025-10-10T00:54:27.7459811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7460222Z     x = self.forward_features(x)
2025-10-10T00:54:27.7460613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7461017Z     x = self.blocks(x)
2025-10-10T00:54:27.7461382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7461771Z     x = self.se(x)
2025-10-10T00:54:27.7462112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7462589Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7462743Z 
2025-10-10T00:54:27.7462856Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7463255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7463607Z     return mod(*inputs)
2025-10-10T00:54:27.7463953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7464335Z     x = self.forward_features(x)
2025-10-10T00:54:27.7464722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7465114Z     x = self.blocks(x)
2025-10-10T00:54:27.7465468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7465855Z     x = self.se(x)
2025-10-10T00:54:27.7466223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7466619Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7466742Z 
2025-10-10T00:54:27.7466866Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7467251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7467618Z     return mod(*inputs)
2025-10-10T00:54:27.7467983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7468381Z     x = self.forward_features(x)
2025-10-10T00:54:27.7468761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7469164Z     x = self.blocks(x)
2025-10-10T00:54:27.7469524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7469908Z     x = self.se(x)
2025-10-10T00:54:27.7470255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7470630Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7470764Z 
2025-10-10T00:54:27.7470875Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7471268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7471621Z     return mod(*inputs)
2025-10-10T00:54:27.7471965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7472335Z     x = self.forward_features(x)
2025-10-10T00:54:27.7472724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7473120Z     x = self.blocks(x)
2025-10-10T00:54:27.7473520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7473900Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7474026Z 
2025-10-10T00:54:27.7474140Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7474525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7474900Z     return mod(*inputs)
2025-10-10T00:54:27.7475285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7475662Z     x = self.forward_features(x)
2025-10-10T00:54:27.7476032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7476406Z     x = self.blocks(x)
2025-10-10T00:54:27.7476743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7477114Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7477253Z 
2025-10-10T00:54:27.7477360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7477744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7478090Z     return mod(*inputs)
2025-10-10T00:54:27.7478441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7478813Z     x = self.forward_features(x)
2025-10-10T00:54:27.7479204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7479595Z     x = self.blocks(x)
2025-10-10T00:54:27.7479935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7480293Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7480406Z 
2025-10-10T00:54:27.7480515Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7480892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7481229Z     return mod(*inputs)
2025-10-10T00:54:27.7481568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7481929Z     x = self.forward_features(x)
2025-10-10T00:54:27.7482315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7482709Z     x = self.blocks(x)
2025-10-10T00:54:27.7483071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7483457Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7483574Z 
2025-10-10T00:54:27.7483670Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7483945Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7484353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7484703Z     return mod(*inputs)
2025-10-10T00:54:27.7485054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7485424Z     x = self.forward_features(x)
2025-10-10T00:54:27.7485814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7486209Z     x = self.blocks(x)
2025-10-10T00:54:27.7486562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7486952Z     x = self.se(x)
2025-10-10T00:54:27.7487314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7487728Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7487913Z 
2025-10-10T00:54:27.7488033Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7488416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7488768Z     return mod(*inputs)
2025-10-10T00:54:27.7489130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7489509Z     x = self.forward_features(x)
2025-10-10T00:54:27.7489918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7490317Z     x = self.blocks(x)
2025-10-10T00:54:27.7490688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7491076Z     x = self.se(x)
2025-10-10T00:54:27.7491441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7491838Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7491986Z 
2025-10-10T00:54:27.7492104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7492514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7492861Z     return mod(*inputs)
2025-10-10T00:54:27.7493202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7493586Z     x = self.forward_features(x)
2025-10-10T00:54:27.7493976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7494370Z     x = self.blocks(x)
2025-10-10T00:54:27.7494729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7495102Z     x = self.se(x)
2025-10-10T00:54:27.7495451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7495837Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7495956Z 
2025-10-10T00:54:27.7496077Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7496467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7496825Z     return mod(*inputs)
2025-10-10T00:54:27.7497181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7497582Z     x = self.forward_features(x)
2025-10-10T00:54:27.7497982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7498386Z     x = self.blocks(x)
2025-10-10T00:54:27.7498757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7499156Z     x = self.se(x)
2025-10-10T00:54:27.7499513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7499898Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7500043Z 
2025-10-10T00:54:27.7500156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7500546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7500919Z     return mod(*inputs)
2025-10-10T00:54:27.7501276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7501694Z     x = self.forward_features(x)
2025-10-10T00:54:27.7502079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7502470Z     x = self.blocks(x)
2025-10-10T00:54:27.7502918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7503337Z     x = self.se(x)
2025-10-10T00:54:27.7503689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7504078Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7504204Z 
2025-10-10T00:54:27.7504329Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7504789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7505134Z     return mod(*inputs)
2025-10-10T00:54:27.7505486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7505861Z     x = self.forward_features(x)
2025-10-10T00:54:27.7506253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7506633Z     x = self.blocks(x)
2025-10-10T00:54:27.7506995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7507378Z     x = self.se(x)
2025-10-10T00:54:27.7507738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7508136Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7508260Z 
2025-10-10T00:54:27.7508373Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7508777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7509145Z     return mod(*inputs)
2025-10-10T00:54:27.7509491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7509869Z     x = self.forward_features(x)
2025-10-10T00:54:27.7510224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7510606Z     x = self.blocks(x)
2025-10-10T00:54:27.7510963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7511346Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7511460Z 
2025-10-10T00:54:27.7511570Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7511954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7512302Z     return mod(*inputs)
2025-10-10T00:54:27.7512646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7513197Z     x = self.forward_features(x)
2025-10-10T00:54:27.7513558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7513929Z     x = self.blocks(x)
2025-10-10T00:54:27.7514289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7514684Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7514825Z 
2025-10-10T00:54:27.7514938Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7515324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7515672Z     return mod(*inputs)
2025-10-10T00:54:27.7516026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7516403Z     x = self.forward_features(x)
2025-10-10T00:54:27.7516784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7517174Z     x = self.blocks(x)
2025-10-10T00:54:27.7517534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7517970Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7518079Z 
2025-10-10T00:54:27.7518192Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7518577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7518914Z     return mod(*inputs)
2025-10-10T00:54:27.7519260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7519719Z     x = self.forward_features(x)
2025-10-10T00:54:27.7520105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7520501Z     x = self.blocks(x)
2025-10-10T00:54:27.7520862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7521241Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7521351Z 
2025-10-10T00:54:27.7521445Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7521569Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7521781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7521858Z     return mod(*inputs)
2025-10-10T00:54:27.7522092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7522171Z     x = self.forward_features(x)
2025-10-10T00:54:27.7522438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7522509Z     x = self.blocks(x)
2025-10-10T00:54:27.7522766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7522834Z     x = self.se(x)
2025-10-10T00:54:27.7523088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7523173Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7523177Z 
2025-10-10T00:54:27.7523289Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7523508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7523579Z     return mod(*inputs)
2025-10-10T00:54:27.7523818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7523900Z     x = self.forward_features(x)
2025-10-10T00:54:27.7524157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7524235Z     x = self.blocks(x)
2025-10-10T00:54:27.7524480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7524554Z     x = self.se(x)
2025-10-10T00:54:27.7524798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7524879Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7524884Z 
2025-10-10T00:54:27.7525002Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7525217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7525295Z     return mod(*inputs)
2025-10-10T00:54:27.7525530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7525606Z     x = self.forward_features(x)
2025-10-10T00:54:27.7525868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7525937Z     x = self.blocks(x)
2025-10-10T00:54:27.7526188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7526254Z     x = self.se(x)
2025-10-10T00:54:27.7526527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7526604Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7526608Z 
2025-10-10T00:54:27.7526719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7526932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7527029Z     return mod(*inputs)
2025-10-10T00:54:27.7527315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7527396Z     x = self.forward_features(x)
2025-10-10T00:54:27.7527650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7527725Z     x = self.blocks(x)
2025-10-10T00:54:27.7527976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7528052Z     x = self.se(x)
2025-10-10T00:54:27.7528301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7528384Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7528396Z 
2025-10-10T00:54:27.7528507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7528727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7528810Z     return mod(*inputs)
2025-10-10T00:54:27.7529044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7529131Z     x = self.forward_features(x)
2025-10-10T00:54:27.7529397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7529466Z     x = self.blocks(x)
2025-10-10T00:54:27.7529719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7529786Z     x = self.se(x)
2025-10-10T00:54:27.7530037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7530114Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7530118Z 
2025-10-10T00:54:27.7530230Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7530449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7530522Z     return mod(*inputs)
2025-10-10T00:54:27.7530761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7530841Z     x = self.forward_features(x)
2025-10-10T00:54:27.7531094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7531176Z     x = self.blocks(x)
2025-10-10T00:54:27.7531434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7531509Z     x = self.se(x)
2025-10-10T00:54:27.7531759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7531837Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7531850Z 
2025-10-10T00:54:27.7531966Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7532181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7532264Z     return mod(*inputs)
2025-10-10T00:54:27.7532499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7532586Z     x = self.forward_features(x)
2025-10-10T00:54:27.7532847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7532952Z     x = self.blocks(x)
2025-10-10T00:54:27.7533212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7533289Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7533292Z 
2025-10-10T00:54:27.7533413Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7533690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7533767Z     return mod(*inputs)
2025-10-10T00:54:27.7534019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7534096Z     x = self.forward_features(x)
2025-10-10T00:54:27.7534355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7534426Z     x = self.blocks(x)
2025-10-10T00:54:27.7534674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7534749Z     x = self.bn3(x)
2025-10-10T00:54:27.7534968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7535043Z     x = F.batch_norm(
2025-10-10T00:54:27.7535047Z 
2025-10-10T00:54:27.7535158Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7535376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7535448Z     return mod(*inputs)
2025-10-10T00:54:27.7535679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7535763Z     x = self.forward_features(x)
2025-10-10T00:54:27.7536017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7536097Z     x = self.blocks(x)
2025-10-10T00:54:27.7536344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7536415Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7536418Z 
2025-10-10T00:54:27.7536538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7536748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7536832Z     return mod(*inputs)
2025-10-10T00:54:27.7537065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7537141Z     x = self.forward_features(x)
2025-10-10T00:54:27.7537404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7537474Z     x = self.blocks(x)
2025-10-10T00:54:27.7537727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7537798Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7537802Z 
2025-10-10T00:54:27.7538094Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7538205Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7538413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7538494Z     return mod(*inputs)
2025-10-10T00:54:27.7538729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7538814Z     x = self.forward_features(x)
2025-10-10T00:54:27.7539066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7539137Z     x = self.blocks(x)
2025-10-10T00:54:27.7539391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7539482Z     x = self.se(x)
2025-10-10T00:54:27.7539731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7539816Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7539820Z 
2025-10-10T00:54:27.7539929Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7540183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7540278Z     return mod(*inputs)
2025-10-10T00:54:27.7540522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7540601Z     x = self.forward_features(x)
2025-10-10T00:54:27.7540862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7540940Z     x = self.blocks(x)
2025-10-10T00:54:27.7541190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7541266Z     x = self.se(x)
2025-10-10T00:54:27.7541519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7541609Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7541613Z 
2025-10-10T00:54:27.7541728Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7541948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7542030Z     return mod(*inputs)
2025-10-10T00:54:27.7542268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7542354Z     x = self.forward_features(x)
2025-10-10T00:54:27.7542702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7542781Z     x = self.blocks(x)
2025-10-10T00:54:27.7543043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7543111Z     x = self.se(x)
2025-10-10T00:54:27.7543367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7543445Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7543451Z 
2025-10-10T00:54:27.7543566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7543786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7543861Z     return mod(*inputs)
2025-10-10T00:54:27.7544104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7544184Z     x = self.forward_features(x)
2025-10-10T00:54:27.7544454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7544529Z     x = self.blocks(x)
2025-10-10T00:54:27.7544781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7544860Z     x = self.se(x)
2025-10-10T00:54:27.7545109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7545204Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7545209Z 
2025-10-10T00:54:27.7545322Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7545536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7545620Z     return mod(*inputs)
2025-10-10T00:54:27.7545858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7545946Z     x = self.forward_features(x)
2025-10-10T00:54:27.7546242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7546314Z     x = self.blocks(x)
2025-10-10T00:54:27.7546575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7546644Z     x = self.se(x)
2025-10-10T00:54:27.7546938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7547041Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7547045Z 
2025-10-10T00:54:27.7547159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7547382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7547456Z     return mod(*inputs)
2025-10-10T00:54:27.7547703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7547785Z     x = self.forward_features(x)
2025-10-10T00:54:27.7548052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7548125Z     x = self.blocks(x)
2025-10-10T00:54:27.7548379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7548459Z     x = self.se(x)
2025-10-10T00:54:27.7548712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7548798Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7548803Z 
2025-10-10T00:54:27.7548915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7549130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7549213Z     return mod(*inputs)
2025-10-10T00:54:27.7549449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7549536Z     x = self.forward_features(x)
2025-10-10T00:54:27.7549795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7549867Z     x = self.blocks(x)
2025-10-10T00:54:27.7550127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7550209Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7550213Z 
2025-10-10T00:54:27.7550333Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7550543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7550624Z     return mod(*inputs)
2025-10-10T00:54:27.7550861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7550940Z     x = self.forward_features(x)
2025-10-10T00:54:27.7551210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7551281Z     x = self.blocks(x)
2025-10-10T00:54:27.7551542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7551637Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7551642Z 
2025-10-10T00:54:27.7551752Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7551969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7552041Z     return mod(*inputs)
2025-10-10T00:54:27.7552279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7552357Z     x = self.forward_features(x)
2025-10-10T00:54:27.7552607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7552711Z     x = self.blocks(x)
2025-10-10T00:54:27.7552944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7553019Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7553023Z 
2025-10-10T00:54:27.7553124Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7553388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7553468Z     return mod(*inputs)
2025-10-10T00:54:27.7553685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7553766Z     x = self.forward_features(x)
2025-10-10T00:54:27.7554002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7554073Z     x = self.blocks(x)
2025-10-10T00:54:27.7554306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7554372Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7554376Z 
2025-10-10T00:54:27.7554467Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7554568Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7554770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7554842Z     return mod(*inputs)
2025-10-10T00:54:27.7555058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7555139Z     x = self.forward_features(x)
2025-10-10T00:54:27.7555377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7555450Z     x = self.blocks(x)
2025-10-10T00:54:27.7555678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7555743Z     x = self.se(x)
2025-10-10T00:54:27.7555983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7556066Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7556071Z 
2025-10-10T00:54:27.7556187Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7556402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7556473Z     return mod(*inputs)
2025-10-10T00:54:27.7556707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7556783Z     x = self.forward_features(x)
2025-10-10T00:54:27.7557040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7557108Z     x = self.blocks(x)
2025-10-10T00:54:27.7557356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7557423Z     x = self.se(x)
2025-10-10T00:54:27.7557665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7557751Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7557756Z 
2025-10-10T00:54:27.7557876Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7558080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7558147Z     return mod(*inputs)
2025-10-10T00:54:27.7558362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7558444Z     x = self.forward_features(x)
2025-10-10T00:54:27.7558678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7558774Z     x = self.blocks(x)
2025-10-10T00:54:27.7559005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7559070Z     x = self.se(x)
2025-10-10T00:54:27.7559309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7559428Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7559466Z 
2025-10-10T00:54:27.7559581Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7559786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7559865Z     return mod(*inputs)
2025-10-10T00:54:27.7560096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7560174Z     x = self.forward_features(x)
2025-10-10T00:54:27.7560438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7560508Z     x = self.blocks(x)
2025-10-10T00:54:27.7560761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7560828Z     x = self.se(x)
2025-10-10T00:54:27.7561082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7561172Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7561176Z 
2025-10-10T00:54:27.7561287Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7561518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7561588Z     return mod(*inputs)
2025-10-10T00:54:27.7561816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7561903Z     x = self.forward_features(x)
2025-10-10T00:54:27.7562154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7562231Z     x = self.blocks(x)
2025-10-10T00:54:27.7562473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7562542Z     x = self.se(x)
2025-10-10T00:54:27.7562791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7562869Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7562873Z 
2025-10-10T00:54:27.7562997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7563193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7563267Z     return mod(*inputs)
2025-10-10T00:54:27.7563483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7563556Z     x = self.forward_features(x)
2025-10-10T00:54:27.7563798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7563864Z     x = self.blocks(x)
2025-10-10T00:54:27.7564102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7564170Z     x = self.se(x)
2025-10-10T00:54:27.7564398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7564478Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7564482Z 
2025-10-10T00:54:27.7564586Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7564790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7564859Z     return mod(*inputs)
2025-10-10T00:54:27.7565106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7565188Z     x = self.forward_features(x)
2025-10-10T00:54:27.7565433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7565507Z     x = self.blocks(x)
2025-10-10T00:54:27.7565807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7565882Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7565892Z 
2025-10-10T00:54:27.7566000Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7566201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7566280Z     return mod(*inputs)
2025-10-10T00:54:27.7566503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7566587Z     x = self.forward_features(x)
2025-10-10T00:54:27.7566833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7566901Z     x = self.blocks(x)
2025-10-10T00:54:27.7567147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7567228Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7567235Z 
2025-10-10T00:54:27.7567350Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7567552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7567622Z     return mod(*inputs)
2025-10-10T00:54:27.7567850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7567924Z     x = self.forward_features(x)
2025-10-10T00:54:27.7568177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7568245Z     x = self.blocks(x)
2025-10-10T00:54:27.7568482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7568559Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7568562Z 
2025-10-10T00:54:27.7568671Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7568880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7568949Z     return mod(*inputs)
2025-10-10T00:54:27.7569177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7569252Z     x = self.forward_features(x)
2025-10-10T00:54:27.7569499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7569570Z     x = self.blocks(x)
2025-10-10T00:54:27.7569793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 287, in forward
2025-10-10T00:54:27.7569865Z     x = self.bn1(x)
2025-10-10T00:54:27.7570065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7570131Z     x = F.batch_norm(
2025-10-10T00:54:27.7570137Z 
2025-10-10T00:54:27.7570247Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7570440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7570511Z     return mod(*inputs)
2025-10-10T00:54:27.7570720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7570790Z     x = self.forward_features(x)
2025-10-10T00:54:27.7571028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7571114Z     x = self.blocks(x)
2025-10-10T00:54:27.7571348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7571412Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7571618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7571710Z     return conv2d_same(
2025-10-10T00:54:27.7571963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 26, in conv2d_same
2025-10-10T00:54:27.7572082Z     x = pad_same(x, weight.shape[-2:], stride, dilation)
2025-10-10T00:54:27.7572283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/padding.py", line 63, in pad_same
2025-10-10T00:54:27.7572440Z     x = F.pad(x, (pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2), value=value)
2025-10-10T00:54:27.7572636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 5406, in pad
2025-10-10T00:54:27.7572740Z     return torch._C._nn.pad(input, pad, mode, value)
2025-10-10T00:54:27.7572744Z 
2025-10-10T00:54:27.7572855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7573054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7573132Z     return mod(*inputs)
2025-10-10T00:54:27.7573351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7573425Z     x = self.forward_features(x)
2025-10-10T00:54:27.7573672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7573739Z     x = self.blocks(x)
2025-10-10T00:54:27.7573980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7574048Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7574257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 51, in forward
2025-10-10T00:54:27.7574333Z     return conv2d_same(
2025-10-10T00:54:27.7574552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv2d_same.py", line 27, in conv2d_same
2025-10-10T00:54:27.7574693Z     return F.conv2d(x, weight, bias, stride, (0, 0), dilation, groups)
2025-10-10T00:54:27.7574701Z 
2025-10-10T00:54:27.7574787Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7574898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7575098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7575166Z     return mod(*inputs)
2025-10-10T00:54:27.7575391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7575467Z     x = self.forward_features(x)
2025-10-10T00:54:27.7575726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7575794Z     x = self.blocks(x)
2025-10-10T00:54:27.7576037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7576113Z     x = self.se(x)
2025-10-10T00:54:27.7576360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7576457Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7576461Z 
2025-10-10T00:54:27.7576571Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7576779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7576860Z     return mod(*inputs)
2025-10-10T00:54:27.7577092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7577203Z     x = self.forward_features(x)
2025-10-10T00:54:27.7577465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7577555Z     x = self.blocks(x)
2025-10-10T00:54:27.7577803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7577937Z     x = self.se(x)
2025-10-10T00:54:27.7578190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7578272Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7578276Z 
2025-10-10T00:54:27.7578393Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7578611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7578681Z     return mod(*inputs)
2025-10-10T00:54:27.7578921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7578998Z     x = self.forward_features(x)
2025-10-10T00:54:27.7579257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7579327Z     x = self.blocks(x)
2025-10-10T00:54:27.7579573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7579649Z     x = self.se(x)
2025-10-10T00:54:27.7579889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7579969Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7579973Z 
2025-10-10T00:54:27.7580082Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7580309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7580383Z     return mod(*inputs)
2025-10-10T00:54:27.7580616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7580699Z     x = self.forward_features(x)
2025-10-10T00:54:27.7580949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7581026Z     x = self.blocks(x)
2025-10-10T00:54:27.7581272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7581341Z     x = self.se(x)
2025-10-10T00:54:27.7581587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7581665Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7581669Z 
2025-10-10T00:54:27.7581783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7581990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7582059Z     return mod(*inputs)
2025-10-10T00:54:27.7582307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7582385Z     x = self.forward_features(x)
2025-10-10T00:54:27.7582722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7582807Z     x = self.blocks(x)
2025-10-10T00:54:27.7583069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7583145Z     x = self.se(x)
2025-10-10T00:54:27.7583387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7583475Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7583478Z 
2025-10-10T00:54:27.7583592Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7583839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7583911Z     return mod(*inputs)
2025-10-10T00:54:27.7584149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7584246Z     x = self.forward_features(x)
2025-10-10T00:54:27.7584537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7584614Z     x = self.blocks(x)
2025-10-10T00:54:27.7584853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7584916Z     x = self.se(x)
2025-10-10T00:54:27.7585158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7585228Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7585235Z 
2025-10-10T00:54:27.7585348Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7585550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7585617Z     return mod(*inputs)
2025-10-10T00:54:27.7585852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7585927Z     x = self.forward_features(x)
2025-10-10T00:54:27.7586182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7586251Z     x = self.blocks(x)
2025-10-10T00:54:27.7586515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7586599Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7586603Z 
2025-10-10T00:54:27.7586717Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7586955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7587026Z     return mod(*inputs)
2025-10-10T00:54:27.7587278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7587355Z     x = self.forward_features(x)
2025-10-10T00:54:27.7587618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7587698Z     x = self.blocks(x)
2025-10-10T00:54:27.7587958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7588035Z     x = self.bn3(x)
2025-10-10T00:54:27.7588260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7588326Z     x = F.batch_norm(
2025-10-10T00:54:27.7588330Z 
2025-10-10T00:54:27.7588445Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7588646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7588721Z     return mod(*inputs)
2025-10-10T00:54:27.7588948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7589021Z     x = self.forward_features(x)
2025-10-10T00:54:27.7589277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7589345Z     x = self.blocks(x)
2025-10-10T00:54:27.7589588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7589654Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7589658Z 
2025-10-10T00:54:27.7589769Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7589971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7590062Z     return mod(*inputs)
2025-10-10T00:54:27.7590288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7590363Z     x = self.forward_features(x)
2025-10-10T00:54:27.7590610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7590724Z     x = self.blocks(x)
2025-10-10T00:54:27.7590956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7591031Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7591035Z 
2025-10-10T00:54:27.7591118Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7591227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7591424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7591492Z     return mod(*inputs)
2025-10-10T00:54:27.7591718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7591791Z     x = self.forward_features(x)
2025-10-10T00:54:27.7592037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7592105Z     x = self.blocks(x)
2025-10-10T00:54:27.7592338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7592410Z     x = self.se(x)
2025-10-10T00:54:27.7592640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7592728Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7592732Z 
2025-10-10T00:54:27.7592834Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7593041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7593109Z     return mod(*inputs)
2025-10-10T00:54:27.7593326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7593406Z     x = self.forward_features(x)
2025-10-10T00:54:27.7593643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7593720Z     x = self.blocks(x)
2025-10-10T00:54:27.7593953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7594016Z     x = self.se(x)
2025-10-10T00:54:27.7594261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7594340Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7594343Z 
2025-10-10T00:54:27.7594459Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7594669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7594740Z     return mod(*inputs)
2025-10-10T00:54:27.7594978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7595055Z     x = self.forward_features(x)
2025-10-10T00:54:27.7595319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7595389Z     x = self.blocks(x)
2025-10-10T00:54:27.7595638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7595715Z     x = self.se(x)
2025-10-10T00:54:27.7595963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7596046Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7596076Z 
2025-10-10T00:54:27.7596199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7596411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7596482Z     return mod(*inputs)
2025-10-10T00:54:27.7596709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7596814Z     x = self.forward_features(x)
2025-10-10T00:54:27.7597111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7597190Z     x = self.blocks(x)
2025-10-10T00:54:27.7597434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7597510Z     x = self.se(x)
2025-10-10T00:54:27.7597746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7597822Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7597826Z 
2025-10-10T00:54:27.7597933Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7598128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7598195Z     return mod(*inputs)
2025-10-10T00:54:27.7598420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7598495Z     x = self.forward_features(x)
2025-10-10T00:54:27.7598740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7598804Z     x = self.blocks(x)
2025-10-10T00:54:27.7599034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7599109Z     x = self.se(x)
2025-10-10T00:54:27.7599335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7599416Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7599420Z 
2025-10-10T00:54:27.7599521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7599723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7599791Z     return mod(*inputs)
2025-10-10T00:54:27.7600011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7600097Z     x = self.forward_features(x)
2025-10-10T00:54:27.7600351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7600429Z     x = self.blocks(x)
2025-10-10T00:54:27.7600673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7600741Z     x = self.se(x)
2025-10-10T00:54:27.7600990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7601065Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7601068Z 
2025-10-10T00:54:27.7601185Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7601394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7601470Z     return mod(*inputs)
2025-10-10T00:54:27.7601710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7601788Z     x = self.forward_features(x)
2025-10-10T00:54:27.7602054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7602121Z     x = self.blocks(x)
2025-10-10T00:54:27.7602359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7602464Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7602467Z 
2025-10-10T00:54:27.7602572Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7602793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7602865Z     return mod(*inputs)
2025-10-10T00:54:27.7603156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7603238Z     x = self.forward_features(x)
2025-10-10T00:54:27.7603499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7603577Z     x = self.blocks(x)
2025-10-10T00:54:27.7603825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7603917Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7603923Z 
2025-10-10T00:54:27.7604032Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7604241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7604323Z     return mod(*inputs)
2025-10-10T00:54:27.7604556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7604644Z     x = self.forward_features(x)
2025-10-10T00:54:27.7604905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7604983Z     x = self.blocks(x)
2025-10-10T00:54:27.7605233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7605305Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7605309Z 
2025-10-10T00:54:27.7605426Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7605637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7605714Z     return mod(*inputs)
2025-10-10T00:54:27.7605948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7606024Z     x = self.forward_features(x)
2025-10-10T00:54:27.7606291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7606363Z     x = self.blocks(x)
2025-10-10T00:54:27.7606621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7606691Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7606695Z 
2025-10-10T00:54:27.7606785Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7606903Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7607112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7607194Z     return mod(*inputs)
2025-10-10T00:54:27.7607427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7607504Z     x = self.forward_features(x)
2025-10-10T00:54:27.7607770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7607844Z     x = self.blocks(x)
2025-10-10T00:54:27.7608102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7608169Z     x = self.se(x)
2025-10-10T00:54:27.7608414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7608506Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7608510Z 
2025-10-10T00:54:27.7608619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7608860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7608933Z     return mod(*inputs)
2025-10-10T00:54:27.7609171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7609249Z     x = self.forward_features(x)
2025-10-10T00:54:27.7609553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7609634Z     x = self.blocks(x)
2025-10-10T00:54:27.7609879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7609952Z     x = self.se(x)
2025-10-10T00:54:27.7610189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7610266Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7610272Z 
2025-10-10T00:54:27.7610389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7610593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7610671Z     return mod(*inputs)
2025-10-10T00:54:27.7610898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7610977Z     x = self.forward_features(x)
2025-10-10T00:54:27.7611239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7611308Z     x = self.blocks(x)
2025-10-10T00:54:27.7611562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7611628Z     x = self.se(x)
2025-10-10T00:54:27.7611874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7611949Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7611953Z 
2025-10-10T00:54:27.7612060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7612275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7612346Z     return mod(*inputs)
2025-10-10T00:54:27.7612583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7612664Z     x = self.forward_features(x)
2025-10-10T00:54:27.7613087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7613172Z     x = self.blocks(x)
2025-10-10T00:54:27.7613420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7613497Z     x = self.se(x)
2025-10-10T00:54:27.7613746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7613829Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7613833Z 
2025-10-10T00:54:27.7613955Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7614173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7614254Z     return mod(*inputs)
2025-10-10T00:54:27.7614497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7614587Z     x = self.forward_features(x)
2025-10-10T00:54:27.7614848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7614920Z     x = self.blocks(x)
2025-10-10T00:54:27.7615188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7615316Z     x = self.se(x)
2025-10-10T00:54:27.7615574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7615653Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7615657Z 
2025-10-10T00:54:27.7615779Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7616006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7616153Z     return mod(*inputs)
2025-10-10T00:54:27.7616394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7616472Z     x = self.forward_features(x)
2025-10-10T00:54:27.7616723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7616803Z     x = self.blocks(x)
2025-10-10T00:54:27.7617049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7617129Z     x = self.se(x)
2025-10-10T00:54:27.7617376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7617453Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7617464Z 
2025-10-10T00:54:27.7617576Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7617794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7617877Z     return mod(*inputs)
2025-10-10T00:54:27.7618114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7618201Z     x = self.forward_features(x)
2025-10-10T00:54:27.7618460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7618532Z     x = self.blocks(x)
2025-10-10T00:54:27.7618791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7618868Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7618872Z 
2025-10-10T00:54:27.7618989Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7619209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7619281Z     return mod(*inputs)
2025-10-10T00:54:27.7619518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7619594Z     x = self.forward_features(x)
2025-10-10T00:54:27.7619852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7619921Z     x = self.blocks(x)
2025-10-10T00:54:27.7620171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7620262Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7620266Z 
2025-10-10T00:54:27.7620375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7620597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7620670Z     return mod(*inputs)
2025-10-10T00:54:27.7620911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7620994Z     x = self.forward_features(x)
2025-10-10T00:54:27.7621254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7621332Z     x = self.blocks(x)
2025-10-10T00:54:27.7621591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7621672Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7621675Z 
2025-10-10T00:54:27.7621808Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7622023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7622105Z     return mod(*inputs)
2025-10-10T00:54:27.7622348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7622435Z     x = self.forward_features(x)
2025-10-10T00:54:27.7622841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7622921Z     x = self.blocks(x)
2025-10-10T00:54:27.7623193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7623267Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7623271Z 
2025-10-10T00:54:27.7623371Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7623483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7623701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7623784Z     return mod(*inputs)
2025-10-10T00:54:27.7624029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7624119Z     x = self.forward_features(x)
2025-10-10T00:54:27.7624381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7624463Z     x = self.blocks(x)
2025-10-10T00:54:27.7624725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7624794Z     x = self.se(x)
2025-10-10T00:54:27.7625054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7625141Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7625147Z 
2025-10-10T00:54:27.7625267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7625533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7625605Z     return mod(*inputs)
2025-10-10T00:54:27.7625850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7625931Z     x = self.forward_features(x)
2025-10-10T00:54:27.7626203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7626273Z     x = self.blocks(x)
2025-10-10T00:54:27.7626531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7626607Z     x = self.se(x)
2025-10-10T00:54:27.7626855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7626945Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7626949Z 
2025-10-10T00:54:27.7627060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7627294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7627369Z     return mod(*inputs)
2025-10-10T00:54:27.7627604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7627693Z     x = self.forward_features(x)
2025-10-10T00:54:27.7627958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7628037Z     x = self.blocks(x)
2025-10-10T00:54:27.7628299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7628367Z     x = self.se(x)
2025-10-10T00:54:27.7628624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7628729Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7628733Z 
2025-10-10T00:54:27.7628854Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7629078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7629152Z     return mod(*inputs)
2025-10-10T00:54:27.7629451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7629535Z     x = self.forward_features(x)
2025-10-10T00:54:27.7629805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7629877Z     x = self.blocks(x)
2025-10-10T00:54:27.7630136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7630212Z     x = self.se(x)
2025-10-10T00:54:27.7630464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7630553Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7630557Z 
2025-10-10T00:54:27.7630669Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7630892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7630968Z     return mod(*inputs)
2025-10-10T00:54:27.7631205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7631294Z     x = self.forward_features(x)
2025-10-10T00:54:27.7631553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7631634Z     x = self.blocks(x)
2025-10-10T00:54:27.7631885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7631955Z     x = self.se(x)
2025-10-10T00:54:27.7632213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7632289Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7632293Z 
2025-10-10T00:54:27.7632414Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7632634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7632718Z     return mod(*inputs)
2025-10-10T00:54:27.7632936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7633006Z     x = self.forward_features(x)
2025-10-10T00:54:27.7633250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7633315Z     x = self.blocks(x)
2025-10-10T00:54:27.7633537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7633607Z     x = self.se(x)
2025-10-10T00:54:27.7633828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7633905Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7633908Z 
2025-10-10T00:54:27.7634011Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7634232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7634307Z     return mod(*inputs)
2025-10-10T00:54:27.7634538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7634623Z     x = self.forward_features(x)
2025-10-10T00:54:27.7634875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7634972Z     x = self.blocks(x)
2025-10-10T00:54:27.7635221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7635298Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7635302Z 
2025-10-10T00:54:27.7635425Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7635645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7636188Z     return mod(*inputs)
2025-10-10T00:54:27.7636409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7636482Z     x = self.forward_features(x)
2025-10-10T00:54:27.7636727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7636792Z     x = self.blocks(x)
2025-10-10T00:54:27.7637028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 295, in forward
2025-10-10T00:54:27.7637106Z     x = self.drop_path(x) + shortcut
2025-10-10T00:54:27.7637110Z 
2025-10-10T00:54:27.7637221Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7637417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7637485Z     return mod(*inputs)
2025-10-10T00:54:27.7637716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7637789Z     x = self.forward_features(x)
2025-10-10T00:54:27.7638033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7638101Z     x = self.blocks(x)
2025-10-10T00:54:27.7638332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 286, in forward
2025-10-10T00:54:27.7638408Z     x = self.conv_pw(x)
2025-10-10T00:54:27.7638413Z 
2025-10-10T00:54:27.7638516Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7638717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7638784Z     return mod(*inputs)
2025-10-10T00:54:27.7639001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7639083Z     x = self.forward_features(x)
2025-10-10T00:54:27.7639321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7639393Z     x = self.blocks(x)
2025-10-10T00:54:27.7639620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 288, in forward
2025-10-10T00:54:27.7639687Z     x = self.conv_dw(x)
2025-10-10T00:54:27.7639699Z 
2025-10-10T00:54:27.7639781Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7639885Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7640088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7640155Z     return mod(*inputs)
2025-10-10T00:54:27.7640375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7640447Z     x = self.forward_features(x)
2025-10-10T00:54:27.7640689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7640762Z     x = self.blocks(x)
2025-10-10T00:54:27.7640991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7641060Z     x = self.se(x)
2025-10-10T00:54:27.7641287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 64, in forward
2025-10-10T00:54:27.7641389Z     x_se = x.mean((2, 3), keepdim=True)
2025-10-10T00:54:27.7641393Z 
2025-10-10T00:54:27.7641505Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7641705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7641778Z     return mod(*inputs)
2025-10-10T00:54:27.7641994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7642120Z     x = self.forward_features(x)
2025-10-10T00:54:27.7642369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7642434Z     x = self.blocks(x)
2025-10-10T00:54:27.7642670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7642732Z     x = self.se(x)
2025-10-10T00:54:27.7642959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 65, in forward
2025-10-10T00:54:27.7643043Z     x_se = self.conv_reduce(x_se)
2025-10-10T00:54:27.7643047Z 
2025-10-10T00:54:27.7643149Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7643351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7643417Z     return mod(*inputs)
2025-10-10T00:54:27.7643647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7643721Z     x = self.forward_features(x)
2025-10-10T00:54:27.7643954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7644029Z     x = self.blocks(x)
2025-10-10T00:54:27.7644257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7644328Z     x = self.se(x)
2025-10-10T00:54:27.7644568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 66, in forward
2025-10-10T00:54:27.7644643Z     x_se = self.act1(x_se)
2025-10-10T00:54:27.7644647Z 
2025-10-10T00:54:27.7644767Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7644981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7645064Z     return mod(*inputs)
2025-10-10T00:54:27.7645303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7645382Z     x = self.forward_features(x)
2025-10-10T00:54:27.7645646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7645717Z     x = self.blocks(x)
2025-10-10T00:54:27.7645972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7646043Z     x = self.se(x)
2025-10-10T00:54:27.7646299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 67, in forward
2025-10-10T00:54:27.7646380Z     x_se = self.conv_expand(x_se)
2025-10-10T00:54:27.7646384Z 
2025-10-10T00:54:27.7646496Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7646721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7646794Z     return mod(*inputs)
2025-10-10T00:54:27.7647016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7647087Z     x = self.forward_features(x)
2025-10-10T00:54:27.7647323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7647396Z     x = self.blocks(x)
2025-10-10T00:54:27.7647624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7647719Z     x = self.se(x)
2025-10-10T00:54:27.7647964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7648041Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7648044Z 
2025-10-10T00:54:27.7648161Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7648446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7648526Z     return mod(*inputs)
2025-10-10T00:54:27.7648747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7648819Z     x = self.forward_features(x)
2025-10-10T00:54:27.7649072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7649144Z     x = self.blocks(x)
2025-10-10T00:54:27.7649396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 291, in forward
2025-10-10T00:54:27.7649463Z     x = self.se(x)
2025-10-10T00:54:27.7649712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 68, in forward
2025-10-10T00:54:27.7649787Z     return x * self.gate(x_se)
2025-10-10T00:54:27.7649792Z 
2025-10-10T00:54:27.7649906Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7650126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7650197Z     return mod(*inputs)
2025-10-10T00:54:27.7650441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7650513Z     x = self.forward_features(x)
2025-10-10T00:54:27.7650752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7650828Z     x = self.blocks(x)
2025-10-10T00:54:27.7651058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 292, in forward
2025-10-10T00:54:27.7651134Z     x = self.conv_pwl(x)
2025-10-10T00:54:27.7651138Z 
2025-10-10T00:54:27.7651241Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7651444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7651518Z     return mod(*inputs)
2025-10-10T00:54:27.7651737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7651817Z     x = self.forward_features(x)
2025-10-10T00:54:27.7652055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 256, in forward_features
2025-10-10T00:54:27.7652128Z     x = self.blocks(x)
2025-10-10T00:54:27.7652362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/_efficientnet_blocks.py", line 293, in forward
2025-10-10T00:54:27.7652428Z     x = self.bn3(x)
2025-10-10T00:54:27.7652642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7652708Z     x = F.batch_norm(
2025-10-10T00:54:27.7652711Z 
2025-10-10T00:54:27.7652818Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7653020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7653086Z     return mod(*inputs)
2025-10-10T00:54:27.7653311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7653386Z     x = self.forward_features(x)
2025-10-10T00:54:27.7653644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 257, in forward_features
2025-10-10T00:54:27.7653737Z     x = self.conv_head(x)
2025-10-10T00:54:27.7653741Z 
2025-10-10T00:54:27.7653852Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7654067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7654137Z     return mod(*inputs)
2025-10-10T00:54:27.7654375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 268, in forward
2025-10-10T00:54:27.7654506Z     x = self.forward_features(x)
2025-10-10T00:54:27.7654764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 258, in forward_features
2025-10-10T00:54:27.7654842Z     x = self.bn2(x)
2025-10-10T00:54:27.7655065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py", line 115, in forward
2025-10-10T00:54:27.7655142Z     x = F.batch_norm(
2025-10-10T00:54:27.7655146Z 
2025-10-10T00:54:27.7655238Z cudagraph partition due to non gpu ops
2025-10-10T00:54:27.7655359Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7655575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7655648Z     return mod(*inputs)
2025-10-10T00:54:27.7655897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward
2025-10-10T00:54:27.7655974Z     x = self.forward_head(x)
2025-10-10T00:54:27.7656228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 262, in forward_head
2025-10-10T00:54:27.7656306Z     x = self.global_pool(x)
2025-10-10T00:54:27.7656557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:54:27.7656636Z     x = self.pool(x)
2025-10-10T00:54:27.7656639Z 
2025-10-10T00:54:27.7656749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:54:27.7656966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:54:27.7657040Z     return mod(*inputs)
2025-10-10T00:54:27.7657266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 269, in forward
2025-10-10T00:54:27.7657350Z     x = self.forward_head(x)
2025-10-10T00:54:27.7657591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/efficientnet.py", line 265, in forward_head
2025-10-10T00:54:27.7657714Z     return x if pre_logits else self.classifier(x)
2025-10-10T00:54:27.7657718Z 
2025-10-10T00:54:42.3859687Z Compilation time (from dynamo_timed): 31.598629339
2025-10-10T00:54:42.3860056Z pass
2025-10-10T00:54:42.3860903Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:42.3861810Z TIMING: _recursive_pre_grad_passes:0.00798 _recursive_joint_graph_passes:0.18069 _recursive_post_grad_passes:0.10002 async_compile.wait:1.7103 code_gen:14.11612 inductor_compile:17.64827 backend_compile:25.70923 gc:0.00131 entire_frame_compile:31.59863 total_wall_time:31.59863
2025-10-10T00:54:42.3863338Z STATS: call_* op count: 249 | FakeTensorMode.__torch_dispatch__:8787 | attempt fast:202 | fast is_contiguous:202 | FakeTensor.__torch_dispatch__:5799 | ProxyTorchDispatchMode.__torch_dispatch__:3079
2025-10-10T00:54:42.3863991Z Dynamo produced 1 graphs covering 249 ops with 0 graph breaks (0 unique)
2025-10-10T00:54:46.0384685Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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.
2025-10-10T00:54:46.0385578Z   import pynvml  # type: ignore[import]
2025-10-10T00:54:48.4307288Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'repr' attribute with value False was provided to the `Field()` function, which has no effect in the context it was used. 'repr' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:54:48.4309182Z   warnings.warn(
2025-10-10T00:54:48.4311336Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pydantic/_internal/_generate_schema.py:2249: UnsupportedFieldAttributeWarning: The 'frozen' attribute with value True was provided to the `Field()` function, which has no effect in the context it was used. 'frozen' is field-specific metadata, and can only be attached to a model field using `Annotated` metadata or by assignment. This may have happened because an `Annotated` type alias using the `type` statement was used, or if the `Field()` function was attached to a single member of a union type.
2025-10-10T00:54:48.4312998Z   warnings.warn(
2025-10-10T00:54:48.8998569Z 
2025-10-10T00:54:49.2898139Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:54:49.2898385Z 
2025-10-10T00:54:49.9887292Z model.safetensors:   0% 0.00/161M [00:00<?, ?B/s]
2025-10-10T00:54:49.9887763Z 
2025-10-10T00:54:50.1748133Z model.safetensors:   1% 843k/161M [00:00<02:12, 1.21MB/s]
2025-10-10T00:54:50.1753200Z 
2025-10-10T00:54:50.2865530Z model.safetensors:  58% 93.9M/161M [00:00<00:00, 139MB/s]
2025-10-10T00:54:50.2865823Z 
2025-10-10T00:54:50.2872420Z model.safetensors: 100% 161M/161M [00:00<00:00, 227MB/s] 
2025-10-10T00:54:50.2872819Z model.safetensors: 100% 161M/161M [00:00<00:00, 161MB/s]
2025-10-10T00:54:50.4767267Z 
2025-10-10T00:54:50.4767736Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:54:50.4777388Z cpu  eval  visformer_small                    
2025-10-10T00:54:51.0372807Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:51.2049608Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:54:51.3697341Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:55:10.3095903Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3096266Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3096509Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3096774Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3097016Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3097234Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3097461Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3097687Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3097912Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3098134Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3098362Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3098592Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3098899Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3099327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3099752Z     return mod(*inputs)
2025-10-10T00:55:10.3100162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3100595Z     x = self.forward_features(x)
2025-10-10T00:55:10.3101013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 396, in forward_features
2025-10-10T00:55:10.3101420Z     x = self.stem(x)
2025-10-10T00:55:10.3101548Z 
2025-10-10T00:55:10.3101674Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3102104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3102679Z     return mod(*inputs)
2025-10-10T00:55:10.3103064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3103778Z     x = self.forward_features(x)
2025-10-10T00:55:10.3104178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 396, in forward_features
2025-10-10T00:55:10.3104576Z     x = self.stem(x)
2025-10-10T00:55:10.3104689Z 
2025-10-10T00:55:10.3104815Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3105382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3105757Z     return mod(*inputs)
2025-10-10T00:55:10.3106120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3106515Z     x = self.forward_features(x)
2025-10-10T00:55:10.3106907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 399, in forward_features
2025-10-10T00:55:10.3107311Z     x = self.patch_embed1(x)
2025-10-10T00:55:10.3107700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/patch_embed.py", line 131, in forward
2025-10-10T00:55:10.3108086Z     x = self.proj(x)
2025-10-10T00:55:10.3108197Z 
2025-10-10T00:55:10.3108324Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3108733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3109096Z     return mod(*inputs)
2025-10-10T00:55:10.3109458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3109843Z     x = self.forward_features(x)
2025-10-10T00:55:10.3110236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3110634Z     x = self.stage1(x)
2025-10-10T00:55:10.3110989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3111400Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3111915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3112284Z     x = self.conv1(x)
2025-10-10T00:55:10.3112404Z 
2025-10-10T00:55:10.3112519Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3113230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3113613Z     return mod(*inputs)
2025-10-10T00:55:10.3113958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3114341Z     x = self.forward_features(x)
2025-10-10T00:55:10.3114732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3115165Z     x = self.stage1(x)
2025-10-10T00:55:10.3115492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3115879Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3116268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3116627Z     x = self.act1(x)
2025-10-10T00:55:10.3116737Z 
2025-10-10T00:55:10.3116855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3117252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3117759Z     return mod(*inputs)
2025-10-10T00:55:10.3118075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3118415Z     x = self.forward_features(x)
2025-10-10T00:55:10.3118770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3119119Z     x = self.stage1(x)
2025-10-10T00:55:10.3119487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3119874Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3120248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3120601Z     x = self.conv2(x)
2025-10-10T00:55:10.3120748Z 
2025-10-10T00:55:10.3120917Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3121315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3121672Z     return mod(*inputs)
2025-10-10T00:55:10.3122012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3122374Z     x = self.forward_features(x)
2025-10-10T00:55:10.3122761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3123138Z     x = self.stage1(x)
2025-10-10T00:55:10.3123464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3123855Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3124258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3124603Z     x = self.act2(x)
2025-10-10T00:55:10.3124712Z 
2025-10-10T00:55:10.3124831Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3125215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3125550Z     return mod(*inputs)
2025-10-10T00:55:10.3125877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3126237Z     x = self.forward_features(x)
2025-10-10T00:55:10.3126592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3126940Z     x = self.stage1(x)
2025-10-10T00:55:10.3127246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3127619Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3127994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3128341Z     x = self.conv3(x)
2025-10-10T00:55:10.3128447Z 
2025-10-10T00:55:10.3128556Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3128935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3129275Z     return mod(*inputs)
2025-10-10T00:55:10.3129588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3129941Z     x = self.forward_features(x)
2025-10-10T00:55:10.3130316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3130694Z     x = self.stage1(x)
2025-10-10T00:55:10.3131020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3131394Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3131549Z 
2025-10-10T00:55:10.3131661Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3132044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3132385Z     return mod(*inputs)
2025-10-10T00:55:10.3132713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3133091Z     x = self.forward_features(x)
2025-10-10T00:55:10.3133455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3133863Z     x = self.stage1(x)
2025-10-10T00:55:10.3134198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3134569Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3134932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3135338Z     x = self.conv1(x)
2025-10-10T00:55:10.3135453Z 
2025-10-10T00:55:10.3135561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3135948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3136293Z     return mod(*inputs)
2025-10-10T00:55:10.3136614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3136974Z     x = self.forward_features(x)
2025-10-10T00:55:10.3137356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3137741Z     x = self.stage1(x)
2025-10-10T00:55:10.3138066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3138453Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3138840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3139191Z     x = self.act1(x)
2025-10-10T00:55:10.3139301Z 
2025-10-10T00:55:10.3139418Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3139798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3140143Z     return mod(*inputs)
2025-10-10T00:55:10.3140475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3140846Z     x = self.forward_features(x)
2025-10-10T00:55:10.3141226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3141618Z     x = self.stage1(x)
2025-10-10T00:55:10.3141965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3142353Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3142845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3143200Z     x = self.conv2(x)
2025-10-10T00:55:10.3143318Z 
2025-10-10T00:55:10.3143433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3143846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3144190Z     return mod(*inputs)
2025-10-10T00:55:10.3144517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3144882Z     x = self.forward_features(x)
2025-10-10T00:55:10.3145259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3145645Z     x = self.stage1(x)
2025-10-10T00:55:10.3145977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3146356Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3146734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3147093Z     x = self.act2(x)
2025-10-10T00:55:10.3147193Z 
2025-10-10T00:55:10.3147306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3147662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3147987Z     return mod(*inputs)
2025-10-10T00:55:10.3148321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3148660Z     x = self.forward_features(x)
2025-10-10T00:55:10.3149010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3149358Z     x = self.stage1(x)
2025-10-10T00:55:10.3149738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3150096Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3150446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3150775Z     x = self.conv3(x)
2025-10-10T00:55:10.3150887Z 
2025-10-10T00:55:10.3150995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3151375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3151722Z     return mod(*inputs)
2025-10-10T00:55:10.3152052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3152425Z     x = self.forward_features(x)
2025-10-10T00:55:10.3152800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3153177Z     x = self.stage1(x)
2025-10-10T00:55:10.3153508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3153877Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3154039Z 
2025-10-10T00:55:10.3154148Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3154532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3154879Z     return mod(*inputs)
2025-10-10T00:55:10.3155202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3155541Z     x = self.forward_features(x)
2025-10-10T00:55:10.3155904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3156273Z     x = self.stage1(x)
2025-10-10T00:55:10.3156590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3156950Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3157332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3157681Z     x = self.conv1(x)
2025-10-10T00:55:10.3157784Z 
2025-10-10T00:55:10.3157897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3158268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3158594Z     return mod(*inputs)
2025-10-10T00:55:10.3158931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3159295Z     x = self.forward_features(x)
2025-10-10T00:55:10.3159659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3160035Z     x = self.stage1(x)
2025-10-10T00:55:10.3160366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3160761Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3161157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3161526Z     x = self.act1(x)
2025-10-10T00:55:10.3161635Z 
2025-10-10T00:55:10.3161748Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3162153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3162531Z     return mod(*inputs)
2025-10-10T00:55:10.3162867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3163230Z     x = self.forward_features(x)
2025-10-10T00:55:10.3163598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3164016Z     x = self.stage1(x)
2025-10-10T00:55:10.3164358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3164732Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3165080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3165409Z     x = self.conv2(x)
2025-10-10T00:55:10.3165512Z 
2025-10-10T00:55:10.3165614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3165980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3166365Z     return mod(*inputs)
2025-10-10T00:55:10.3166661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3166992Z     x = self.forward_features(x)
2025-10-10T00:55:10.3167344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3167692Z     x = self.stage1(x)
2025-10-10T00:55:10.3167989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3168343Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3168697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3169028Z     x = self.act2(x)
2025-10-10T00:55:10.3169129Z 
2025-10-10T00:55:10.3169240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3169600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3169937Z     return mod(*inputs)
2025-10-10T00:55:10.3170270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3170655Z     x = self.forward_features(x)
2025-10-10T00:55:10.3171028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3171411Z     x = self.stage1(x)
2025-10-10T00:55:10.3171740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3172110Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3172465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3172794Z     x = self.conv3(x)
2025-10-10T00:55:10.3172900Z 
2025-10-10T00:55:10.3173004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3173370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3173688Z     return mod(*inputs)
2025-10-10T00:55:10.3173985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3174319Z     x = self.forward_features(x)
2025-10-10T00:55:10.3174664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3175013Z     x = self.stage1(x)
2025-10-10T00:55:10.3175318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3175658Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3175811Z 
2025-10-10T00:55:10.3175913Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3176286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3176603Z     return mod(*inputs)
2025-10-10T00:55:10.3176904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3177237Z     x = self.forward_features(x)
2025-10-10T00:55:10.3177637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3177993Z     x = self.stage1(x)
2025-10-10T00:55:10.3178304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3178652Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3179006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3179336Z     x = self.conv1(x)
2025-10-10T00:55:10.3179437Z 
2025-10-10T00:55:10.3179547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3179921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3180266Z     return mod(*inputs)
2025-10-10T00:55:10.3180608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3180979Z     x = self.forward_features(x)
2025-10-10T00:55:10.3181371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3181756Z     x = self.stage1(x)
2025-10-10T00:55:10.3182096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3182566Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3182968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3183326Z     x = self.act1(x)
2025-10-10T00:55:10.3183444Z 
2025-10-10T00:55:10.3183558Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3183956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3184310Z     return mod(*inputs)
2025-10-10T00:55:10.3184656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3185031Z     x = self.forward_features(x)
2025-10-10T00:55:10.3185425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3185822Z     x = self.stage1(x)
2025-10-10T00:55:10.3186163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3186548Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3186940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3187298Z     x = self.conv2(x)
2025-10-10T00:55:10.3187406Z 
2025-10-10T00:55:10.3187528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3187924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3188270Z     return mod(*inputs)
2025-10-10T00:55:10.3188616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3188986Z     x = self.forward_features(x)
2025-10-10T00:55:10.3189374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3189758Z     x = self.stage1(x)
2025-10-10T00:55:10.3190098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3190482Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3190889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3191263Z     x = self.act2(x)
2025-10-10T00:55:10.3191373Z 
2025-10-10T00:55:10.3191485Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3191879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3193144Z     return mod(*inputs)
2025-10-10T00:55:10.3193515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3193872Z     x = self.forward_features(x)
2025-10-10T00:55:10.3194252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3194653Z     x = self.stage1(x)
2025-10-10T00:55:10.3194983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3195445Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3195814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3196161Z     x = self.conv3(x)
2025-10-10T00:55:10.3196272Z 
2025-10-10T00:55:10.3196382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3196770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3197105Z     return mod(*inputs)
2025-10-10T00:55:10.3197434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3197823Z     x = self.forward_features(x)
2025-10-10T00:55:10.3198198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3198575Z     x = self.stage1(x)
2025-10-10T00:55:10.3198896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3199270Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3199430Z 
2025-10-10T00:55:10.3199538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3199914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3200252Z     return mod(*inputs)
2025-10-10T00:55:10.3200593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3200965Z     x = self.forward_features(x)
2025-10-10T00:55:10.3201350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3201742Z     x = self.stage1(x)
2025-10-10T00:55:10.3202073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3202468Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3202621Z 
2025-10-10T00:55:10.3202726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3203089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3203417Z     return mod(*inputs)
2025-10-10T00:55:10.3203721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3204067Z     x = self.forward_features(x)
2025-10-10T00:55:10.3204422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3204779Z     x = self.stage1(x)
2025-10-10T00:55:10.3205081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3205438Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3205790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3206164Z     x = self.conv1(x)
2025-10-10T00:55:10.3206265Z 
2025-10-10T00:55:10.3206374Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3206734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3207059Z     return mod(*inputs)
2025-10-10T00:55:10.3207440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3207781Z     x = self.forward_features(x)
2025-10-10T00:55:10.3208127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3208482Z     x = self.stage1(x)
2025-10-10T00:55:10.3208789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3209143Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3209494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3209813Z     x = self.act1(x)
2025-10-10T00:55:10.3209930Z 
2025-10-10T00:55:10.3210043Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3210434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3210793Z     return mod(*inputs)
2025-10-10T00:55:10.3211124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3211510Z     x = self.forward_features(x)
2025-10-10T00:55:10.3211901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3212261Z     x = self.stage1(x)
2025-10-10T00:55:10.3212575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3213126Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3213485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3213817Z     x = self.conv2(x)
2025-10-10T00:55:10.3213919Z 
2025-10-10T00:55:10.3214034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3214397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3214725Z     return mod(*inputs)
2025-10-10T00:55:10.3215041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3215383Z     x = self.forward_features(x)
2025-10-10T00:55:10.3215749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3216121Z     x = self.stage1(x)
2025-10-10T00:55:10.3216449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3216826Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3217198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3217536Z     x = self.act2(x)
2025-10-10T00:55:10.3217651Z 
2025-10-10T00:55:10.3217762Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3218151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3218500Z     return mod(*inputs)
2025-10-10T00:55:10.3218831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3219204Z     x = self.forward_features(x)
2025-10-10T00:55:10.3219583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3220026Z     x = self.stage1(x)
2025-10-10T00:55:10.3220374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3220773Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3221170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3221536Z     x = self.conv3(x)
2025-10-10T00:55:10.3221675Z 
2025-10-10T00:55:10.3221847Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3222258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3222678Z     return mod(*inputs)
2025-10-10T00:55:10.3223030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3223422Z     x = self.forward_features(x)
2025-10-10T00:55:10.3223796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3224181Z     x = self.stage1(x)
2025-10-10T00:55:10.3224522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3224963Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3225122Z 
2025-10-10T00:55:10.3225240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3225645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3225986Z     return mod(*inputs)
2025-10-10T00:55:10.3226332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3226703Z     x = self.forward_features(x)
2025-10-10T00:55:10.3227082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3227452Z     x = self.stage1(x)
2025-10-10T00:55:10.3227790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3228175Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3228548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3228904Z     x = self.conv1(x)
2025-10-10T00:55:10.3229013Z 
2025-10-10T00:55:10.3229127Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3229521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3229864Z     return mod(*inputs)
2025-10-10T00:55:10.3230194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3230566Z     x = self.forward_features(x)
2025-10-10T00:55:10.3230944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3231322Z     x = self.stage1(x)
2025-10-10T00:55:10.3231649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3232050Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3232426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3232787Z     x = self.act1(x)
2025-10-10T00:55:10.3232903Z 
2025-10-10T00:55:10.3233019Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3233394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3233715Z     return mod(*inputs)
2025-10-10T00:55:10.3234031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3234372Z     x = self.forward_features(x)
2025-10-10T00:55:10.3234727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3235108Z     x = self.stage1(x)
2025-10-10T00:55:10.3252731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3253166Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3253543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3254078Z     x = self.conv2(x)
2025-10-10T00:55:10.3254213Z 
2025-10-10T00:55:10.3254322Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3254703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3255038Z     return mod(*inputs)
2025-10-10T00:55:10.3255353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3255697Z     x = self.forward_features(x)
2025-10-10T00:55:10.3256064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3256425Z     x = self.stage1(x)
2025-10-10T00:55:10.3256731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3257089Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3257450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3257774Z     x = self.act2(x)
2025-10-10T00:55:10.3257875Z 
2025-10-10T00:55:10.3257990Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3258349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3258677Z     return mod(*inputs)
2025-10-10T00:55:10.3258985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3259331Z     x = self.forward_features(x)
2025-10-10T00:55:10.3259695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3260081Z     x = self.stage1(x)
2025-10-10T00:55:10.3260409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3260792Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3261172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3261512Z     x = self.conv3(x)
2025-10-10T00:55:10.3261629Z 
2025-10-10T00:55:10.3261742Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3262141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3262603Z     return mod(*inputs)
2025-10-10T00:55:10.3262960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3263340Z     x = self.forward_features(x)
2025-10-10T00:55:10.3263733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3264131Z     x = self.stage1(x)
2025-10-10T00:55:10.3264531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3264943Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3265116Z 
2025-10-10T00:55:10.3265232Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3265631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3265991Z     return mod(*inputs)
2025-10-10T00:55:10.3266334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3266732Z     x = self.forward_features(x)
2025-10-10T00:55:10.3267112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3267486Z     x = self.stage1(x)
2025-10-10T00:55:10.3267820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3268205Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3268641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3268991Z     x = self.conv1(x)
2025-10-10T00:55:10.3269104Z 
2025-10-10T00:55:10.3269214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3269612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3269962Z     return mod(*inputs)
2025-10-10T00:55:10.3270290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3270658Z     x = self.forward_features(x)
2025-10-10T00:55:10.3271040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3271414Z     x = self.stage1(x)
2025-10-10T00:55:10.3271750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3272128Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3272543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3272893Z     x = self.act1(x)
2025-10-10T00:55:10.3272999Z 
2025-10-10T00:55:10.3273119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3273497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3273846Z     return mod(*inputs)
2025-10-10T00:55:10.3274174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3274506Z     x = self.forward_features(x)
2025-10-10T00:55:10.3274851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3275189Z     x = self.stage1(x)
2025-10-10T00:55:10.3275494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3275843Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3276186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 66, in forward
2025-10-10T00:55:10.3276497Z     x = self.conv2(x)
2025-10-10T00:55:10.3276603Z 
2025-10-10T00:55:10.3276704Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3277054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3277375Z     return mod(*inputs)
2025-10-10T00:55:10.3277679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3278001Z     x = self.forward_features(x)
2025-10-10T00:55:10.3278347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3278696Z     x = self.stage1(x)
2025-10-10T00:55:10.3279000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3279340Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3279688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 67, in forward
2025-10-10T00:55:10.3280008Z     x = self.act2(x)
2025-10-10T00:55:10.3280106Z 
2025-10-10T00:55:10.3280217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3280572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3280906Z     return mod(*inputs)
2025-10-10T00:55:10.3281212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3281541Z     x = self.forward_features(x)
2025-10-10T00:55:10.3281891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3282302Z     x = self.stage1(x)
2025-10-10T00:55:10.3282631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3283026Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3283399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3283746Z     x = self.conv3(x)
2025-10-10T00:55:10.3283852Z 
2025-10-10T00:55:10.3283960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3284347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3284699Z     return mod(*inputs)
2025-10-10T00:55:10.3285001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3285323Z     x = self.forward_features(x)
2025-10-10T00:55:10.3285675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 405, in forward_features
2025-10-10T00:55:10.3286023Z     x = self.stage1(x)
2025-10-10T00:55:10.3286324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3286669Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3286813Z 
2025-10-10T00:55:10.3286915Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3287272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3287592Z     return mod(*inputs)
2025-10-10T00:55:10.3287897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3288223Z     x = self.forward_features(x)
2025-10-10T00:55:10.3288569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 409, in forward_features
2025-10-10T00:55:10.3288926Z     x = self.patch_embed2(x)
2025-10-10T00:55:10.3289260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/patch_embed.py", line 131, in forward
2025-10-10T00:55:10.3289595Z     x = self.proj(x)
2025-10-10T00:55:10.3289696Z 
2025-10-10T00:55:10.3289798Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3290153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3290480Z     return mod(*inputs)
2025-10-10T00:55:10.3290800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3291152Z     x = self.forward_features(x)
2025-10-10T00:55:10.3291532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3291907Z     x = self.stage2(x)
2025-10-10T00:55:10.3292235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3292622Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3292993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3293444Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3293679Z 
2025-10-10T00:55:10.3293790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3294176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3294540Z     return mod(*inputs)
2025-10-10T00:55:10.3294869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3295310Z     x = self.forward_features(x)
2025-10-10T00:55:10.3295685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3296083Z     x = self.stage2(x)
2025-10-10T00:55:10.3296438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3296822Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3297199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3297617Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3297776Z 
2025-10-10T00:55:10.3297895Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3298277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3298624Z     return mod(*inputs)
2025-10-10T00:55:10.3298957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3299320Z     x = self.forward_features(x)
2025-10-10T00:55:10.3299694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3300072Z     x = self.stage2(x)
2025-10-10T00:55:10.3300398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3300804Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3301190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3301588Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3301759Z 
2025-10-10T00:55:10.3301873Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3302271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3302735Z     return mod(*inputs)
2025-10-10T00:55:10.3303075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3303461Z     x = self.forward_features(x)
2025-10-10T00:55:10.3303856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3304238Z     x = self.stage2(x)
2025-10-10T00:55:10.3304572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3304946Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3305333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3305718Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3305874Z 
2025-10-10T00:55:10.3306010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3306392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3306739Z     return mod(*inputs)
2025-10-10T00:55:10.3307078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3307443Z     x = self.forward_features(x)
2025-10-10T00:55:10.3307821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3308192Z     x = self.stage2(x)
2025-10-10T00:55:10.3308523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3308900Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3309299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3309642Z     x = attn @ v
2025-10-10T00:55:10.3309753Z 
2025-10-10T00:55:10.3309867Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3310256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3310635Z     return mod(*inputs)
2025-10-10T00:55:10.3311004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3311365Z     x = self.forward_features(x)
2025-10-10T00:55:10.3311752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3312140Z     x = self.stage2(x)
2025-10-10T00:55:10.3312465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3313039Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3313419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3313751Z     x = attn @ v
2025-10-10T00:55:10.3313847Z 
2025-10-10T00:55:10.3313957Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3314337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3314667Z     return mod(*inputs)
2025-10-10T00:55:10.3314984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3315327Z     x = self.forward_features(x)
2025-10-10T00:55:10.3315676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3316034Z     x = self.stage2(x)
2025-10-10T00:55:10.3316343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3316703Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3317050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3317411Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3317565Z 
2025-10-10T00:55:10.3317654Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3317907Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3318268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3318586Z     return mod(*inputs)
2025-10-10T00:55:10.3318902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3319243Z     x = self.forward_features(x)
2025-10-10T00:55:10.3319601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3319955Z     x = self.stage2(x)
2025-10-10T00:55:10.3320267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3320665Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3321052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3321419Z     x = self.proj(x)
2025-10-10T00:55:10.3321531Z 
2025-10-10T00:55:10.3321647Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3322046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3322399Z     return mod(*inputs)
2025-10-10T00:55:10.3322741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3323123Z     x = self.forward_features(x)
2025-10-10T00:55:10.3323574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3323963Z     x = self.stage2(x)
2025-10-10T00:55:10.3324301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3324709Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3324903Z 
2025-10-10T00:55:10.3325074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3325474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3325844Z     return mod(*inputs)
2025-10-10T00:55:10.3326198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3326582Z     x = self.forward_features(x)
2025-10-10T00:55:10.3326971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3327372Z     x = self.stage2(x)
2025-10-10T00:55:10.3327726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3328130Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3328522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3328903Z     x = self.conv1(x)
2025-10-10T00:55:10.3329024Z 
2025-10-10T00:55:10.3329141Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3329542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3329912Z     return mod(*inputs)
2025-10-10T00:55:10.3330260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3330639Z     x = self.forward_features(x)
2025-10-10T00:55:10.3331046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3331431Z     x = self.stage2(x)
2025-10-10T00:55:10.3331767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3332160Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3332549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3332888Z     x = self.act1(x)
2025-10-10T00:55:10.3332990Z 
2025-10-10T00:55:10.3333106Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3333469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3333802Z     return mod(*inputs)
2025-10-10T00:55:10.3334124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3334470Z     x = self.forward_features(x)
2025-10-10T00:55:10.3334823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3335185Z     x = self.stage2(x)
2025-10-10T00:55:10.3335499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3335864Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3336230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3336557Z     x = self.conv3(x)
2025-10-10T00:55:10.3336667Z 
2025-10-10T00:55:10.3336775Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3337145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3337477Z     return mod(*inputs)
2025-10-10T00:55:10.3337791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3338148Z     x = self.forward_features(x)
2025-10-10T00:55:10.3338502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3338883Z     x = self.stage2(x)
2025-10-10T00:55:10.3339212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3339689Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3339860Z 
2025-10-10T00:55:10.3339973Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3340370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3340727Z     return mod(*inputs)
2025-10-10T00:55:10.3341062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3341447Z     x = self.forward_features(x)
2025-10-10T00:55:10.3341841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3342240Z     x = self.stage2(x)
2025-10-10T00:55:10.3342651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3343034Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3343430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3343901Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3344133Z 
2025-10-10T00:55:10.3344260Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3344654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3344975Z     return mod(*inputs)
2025-10-10T00:55:10.3345292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3345643Z     x = self.forward_features(x)
2025-10-10T00:55:10.3346003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3346344Z     x = self.stage2(x)
2025-10-10T00:55:10.3346646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3347001Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3347355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3347715Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3347863Z 
2025-10-10T00:55:10.3347969Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3348337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3348664Z     return mod(*inputs)
2025-10-10T00:55:10.3348985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3349312Z     x = self.forward_features(x)
2025-10-10T00:55:10.3349661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3350007Z     x = self.stage2(x)
2025-10-10T00:55:10.3350340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3350716Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3351081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3351458Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3351619Z 
2025-10-10T00:55:10.3351730Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3352116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3352481Z     return mod(*inputs)
2025-10-10T00:55:10.3352821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3353187Z     x = self.forward_features(x)
2025-10-10T00:55:10.3353574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3354018Z     x = self.stage2(x)
2025-10-10T00:55:10.3354323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3354681Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3355038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3355403Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3355545Z 
2025-10-10T00:55:10.3355649Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3356006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3356324Z     return mod(*inputs)
2025-10-10T00:55:10.3356822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3357156Z     x = self.forward_features(x)
2025-10-10T00:55:10.3357503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3357858Z     x = self.stage2(x)
2025-10-10T00:55:10.3358163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3358515Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3358865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3359180Z     x = attn @ v
2025-10-10T00:55:10.3359281Z 
2025-10-10T00:55:10.3359382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3359739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3360073Z     return mod(*inputs)
2025-10-10T00:55:10.3360399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3360766Z     x = self.forward_features(x)
2025-10-10T00:55:10.3361142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3361530Z     x = self.stage2(x)
2025-10-10T00:55:10.3361863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3362208Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3362557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3362881Z     x = attn @ v
2025-10-10T00:55:10.3362973Z 
2025-10-10T00:55:10.3363083Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3363481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3363831Z     return mod(*inputs)
2025-10-10T00:55:10.3364169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3364533Z     x = self.forward_features(x)
2025-10-10T00:55:10.3364909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3365281Z     x = self.stage2(x)
2025-10-10T00:55:10.3365591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3365962Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3366379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3366767Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3366924Z 
2025-10-10T00:55:10.3367018Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3367285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3367680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3368131Z     return mod(*inputs)
2025-10-10T00:55:10.3368469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3368838Z     x = self.forward_features(x)
2025-10-10T00:55:10.3369214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3369602Z     x = self.stage2(x)
2025-10-10T00:55:10.3369940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3370329Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3370716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3371076Z     x = self.proj(x)
2025-10-10T00:55:10.3371182Z 
2025-10-10T00:55:10.3371299Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3371702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3372058Z     return mod(*inputs)
2025-10-10T00:55:10.3372396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3372773Z     x = self.forward_features(x)
2025-10-10T00:55:10.3373159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3373541Z     x = self.stage2(x)
2025-10-10T00:55:10.3373897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3374284Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3374440Z 
2025-10-10T00:55:10.3374558Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3374952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3375316Z     return mod(*inputs)
2025-10-10T00:55:10.3375702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3376076Z     x = self.forward_features(x)
2025-10-10T00:55:10.3376450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3376831Z     x = self.stage2(x)
2025-10-10T00:55:10.3377163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3377547Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3377927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3378301Z     x = self.conv1(x)
2025-10-10T00:55:10.3378410Z 
2025-10-10T00:55:10.3378521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3378914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3379261Z     return mod(*inputs)
2025-10-10T00:55:10.3379592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3379965Z     x = self.forward_features(x)
2025-10-10T00:55:10.3380343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3380727Z     x = self.stage2(x)
2025-10-10T00:55:10.3381085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3381496Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3381879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3382238Z     x = self.act1(x)
2025-10-10T00:55:10.3382350Z 
2025-10-10T00:55:10.3382566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3383022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3383377Z     return mod(*inputs)
2025-10-10T00:55:10.3383721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3384104Z     x = self.forward_features(x)
2025-10-10T00:55:10.3384496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3384892Z     x = self.stage2(x)
2025-10-10T00:55:10.3385223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3385614Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3386002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3386361Z     x = self.conv3(x)
2025-10-10T00:55:10.3386472Z 
2025-10-10T00:55:10.3386586Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3386984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3387338Z     return mod(*inputs)
2025-10-10T00:55:10.3387682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3388052Z     x = self.forward_features(x)
2025-10-10T00:55:10.3388430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3388823Z     x = self.stage2(x)
2025-10-10T00:55:10.3389160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3389552Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3389712Z 
2025-10-10T00:55:10.3389827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3390227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3390584Z     return mod(*inputs)
2025-10-10T00:55:10.3390926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3391296Z     x = self.forward_features(x)
2025-10-10T00:55:10.3391677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3392064Z     x = self.stage2(x)
2025-10-10T00:55:10.3392405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3392800Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3392965Z 
2025-10-10T00:55:10.3393081Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3393476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3393832Z     return mod(*inputs)
2025-10-10T00:55:10.3394188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3394551Z     x = self.forward_features(x)
2025-10-10T00:55:10.3394921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3395301Z     x = self.stage2(x)
2025-10-10T00:55:10.3395628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3396045Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3396419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3396870Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3397102Z 
2025-10-10T00:55:10.3397213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3397657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3398006Z     return mod(*inputs)
2025-10-10T00:55:10.3398337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3398704Z     x = self.forward_features(x)
2025-10-10T00:55:10.3399081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3399462Z     x = self.stage2(x)
2025-10-10T00:55:10.3399794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3400168Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3400547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3400929Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3401090Z 
2025-10-10T00:55:10.3401213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3401603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3401962Z     return mod(*inputs)
2025-10-10T00:55:10.3402303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3402689Z     x = self.forward_features(x)
2025-10-10T00:55:10.3403066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3403442Z     x = self.stage2(x)
2025-10-10T00:55:10.3403771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3404151Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3404526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3404905Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3405067Z 
2025-10-10T00:55:10.3405178Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3405566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3405915Z     return mod(*inputs)
2025-10-10T00:55:10.3406246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3406604Z     x = self.forward_features(x)
2025-10-10T00:55:10.3406982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3407363Z     x = self.stage2(x)
2025-10-10T00:55:10.3407693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3408065Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3408449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3408829Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3408985Z 
2025-10-10T00:55:10.3409104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3409489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3409826Z     return mod(*inputs)
2025-10-10T00:55:10.3410161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3410548Z     x = self.forward_features(x)
2025-10-10T00:55:10.3410934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3411315Z     x = self.stage2(x)
2025-10-10T00:55:10.3411649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3412111Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3412490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3412976Z     x = attn @ v
2025-10-10T00:55:10.3413083Z 
2025-10-10T00:55:10.3413197Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3413593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3413942Z     return mod(*inputs)
2025-10-10T00:55:10.3414284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3414640Z     x = self.forward_features(x)
2025-10-10T00:55:10.3415021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3415405Z     x = self.stage2(x)
2025-10-10T00:55:10.3415741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3416123Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3416493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3416841Z     x = attn @ v
2025-10-10T00:55:10.3416950Z 
2025-10-10T00:55:10.3417061Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3417448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3417797Z     return mod(*inputs)
2025-10-10T00:55:10.3418121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3418499Z     x = self.forward_features(x)
2025-10-10T00:55:10.3418878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3419255Z     x = self.stage2(x)
2025-10-10T00:55:10.3419576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3419962Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3420353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3420762Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3420924Z 
2025-10-10T00:55:10.3421025Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3421290Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3421682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3422038Z     return mod(*inputs)
2025-10-10T00:55:10.3422381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3422813Z     x = self.forward_features(x)
2025-10-10T00:55:10.3423213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3423598Z     x = self.stage2(x)
2025-10-10T00:55:10.3423918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3424276Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3424662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3425079Z     x = self.proj(x)
2025-10-10T00:55:10.3425190Z 
2025-10-10T00:55:10.3425312Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3425708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3426059Z     return mod(*inputs)
2025-10-10T00:55:10.3426405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3426858Z     x = self.forward_features(x)
2025-10-10T00:55:10.3427247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3427642Z     x = self.stage2(x)
2025-10-10T00:55:10.3427973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3428375Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3428538Z 
2025-10-10T00:55:10.3428659Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3429058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3429405Z     return mod(*inputs)
2025-10-10T00:55:10.3429747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3430123Z     x = self.forward_features(x)
2025-10-10T00:55:10.3430515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3430903Z     x = self.stage2(x)
2025-10-10T00:55:10.3431232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3431617Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3432004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3432361Z     x = self.conv1(x)
2025-10-10T00:55:10.3432472Z 
2025-10-10T00:55:10.3432583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3432987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3433331Z     return mod(*inputs)
2025-10-10T00:55:10.3433664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3434036Z     x = self.forward_features(x)
2025-10-10T00:55:10.3434428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3434804Z     x = self.stage2(x)
2025-10-10T00:55:10.3435130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3435505Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3435871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3436219Z     x = self.act1(x)
2025-10-10T00:55:10.3436332Z 
2025-10-10T00:55:10.3436440Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3436824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3437166Z     return mod(*inputs)
2025-10-10T00:55:10.3437489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3437854Z     x = self.forward_features(x)
2025-10-10T00:55:10.3438232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3438610Z     x = self.stage2(x)
2025-10-10T00:55:10.3438930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3439308Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3439683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3440056Z     x = self.conv3(x)
2025-10-10T00:55:10.3440161Z 
2025-10-10T00:55:10.3440277Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3440661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3441018Z     return mod(*inputs)
2025-10-10T00:55:10.3441415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3441775Z     x = self.forward_features(x)
2025-10-10T00:55:10.3442142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3442522Z     x = self.stage2(x)
2025-10-10T00:55:10.3442849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3443254Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3443413Z 
2025-10-10T00:55:10.3443525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3443899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3444243Z     return mod(*inputs)
2025-10-10T00:55:10.3444575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3444940Z     x = self.forward_features(x)
2025-10-10T00:55:10.3445306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3445690Z     x = self.stage2(x)
2025-10-10T00:55:10.3446027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3446429Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3446805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3447243Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3447472Z 
2025-10-10T00:55:10.3447583Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3447969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3448316Z     return mod(*inputs)
2025-10-10T00:55:10.3448654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3449008Z     x = self.forward_features(x)
2025-10-10T00:55:10.3449388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3449768Z     x = self.stage2(x)
2025-10-10T00:55:10.3450104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3450489Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3450875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3451274Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3451429Z 
2025-10-10T00:55:10.3451544Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3451924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3452282Z     return mod(*inputs)
2025-10-10T00:55:10.3452622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3452992Z     x = self.forward_features(x)
2025-10-10T00:55:10.3453365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3453752Z     x = self.stage2(x)
2025-10-10T00:55:10.3454099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3454519Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3454901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3455300Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3455471Z 
2025-10-10T00:55:10.3455600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3456060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3456418Z     return mod(*inputs)
2025-10-10T00:55:10.3456801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3457175Z     x = self.forward_features(x)
2025-10-10T00:55:10.3457564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3457958Z     x = self.stage2(x)
2025-10-10T00:55:10.3458298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3458701Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3459091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3459495Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3459667Z 
2025-10-10T00:55:10.3459792Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3460185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3460521Z     return mod(*inputs)
2025-10-10T00:55:10.3460849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3461230Z     x = self.forward_features(x)
2025-10-10T00:55:10.3461618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3462007Z     x = self.stage2(x)
2025-10-10T00:55:10.3462337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3462826Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3463222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3463589Z     x = attn @ v
2025-10-10T00:55:10.3463705Z 
2025-10-10T00:55:10.3463818Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3464206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3464558Z     return mod(*inputs)
2025-10-10T00:55:10.3464890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3465255Z     x = self.forward_features(x)
2025-10-10T00:55:10.3465624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3466011Z     x = self.stage2(x)
2025-10-10T00:55:10.3466341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3466718Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3467087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3467435Z     x = attn @ v
2025-10-10T00:55:10.3467542Z 
2025-10-10T00:55:10.3467650Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3468031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3468377Z     return mod(*inputs)
2025-10-10T00:55:10.3468701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3469093Z     x = self.forward_features(x)
2025-10-10T00:55:10.3469465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3469851Z     x = self.stage2(x)
2025-10-10T00:55:10.3470174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3470609Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3470997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3471394Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3471549Z 
2025-10-10T00:55:10.3471649Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3471904Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3472285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3472628Z     return mod(*inputs)
2025-10-10T00:55:10.3472957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3473304Z     x = self.forward_features(x)
2025-10-10T00:55:10.3473674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3474049Z     x = self.stage2(x)
2025-10-10T00:55:10.3474380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3474759Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3475128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3475479Z     x = self.proj(x)
2025-10-10T00:55:10.3475590Z 
2025-10-10T00:55:10.3475702Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3476090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3476435Z     return mod(*inputs)
2025-10-10T00:55:10.3476758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3477117Z     x = self.forward_features(x)
2025-10-10T00:55:10.3477493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3477568Z     x = self.stage2(x)
2025-10-10T00:55:10.3477792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3477891Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3477895Z 
2025-10-10T00:55:10.3478006Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3478223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3478297Z     return mod(*inputs)
2025-10-10T00:55:10.3478521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3478599Z     x = self.forward_features(x)
2025-10-10T00:55:10.3478852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3478920Z     x = self.stage2(x)
2025-10-10T00:55:10.3479138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3479245Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3479459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3479535Z     x = self.conv1(x)
2025-10-10T00:55:10.3479539Z 
2025-10-10T00:55:10.3479649Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3479858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3479964Z     return mod(*inputs)
2025-10-10T00:55:10.3480180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3480262Z     x = self.forward_features(x)
2025-10-10T00:55:10.3480508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3480596Z     x = self.stage2(x)
2025-10-10T00:55:10.3480895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3480995Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3481218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3481286Z     x = self.act1(x)
2025-10-10T00:55:10.3481290Z 
2025-10-10T00:55:10.3481407Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3481619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3481689Z     return mod(*inputs)
2025-10-10T00:55:10.3481915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3481992Z     x = self.forward_features(x)
2025-10-10T00:55:10.3482248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3482320Z     x = self.stage2(x)
2025-10-10T00:55:10.3482540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3482646Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3482864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3482940Z     x = self.conv3(x)
2025-10-10T00:55:10.3482946Z 
2025-10-10T00:55:10.3483058Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3483269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3483351Z     return mod(*inputs)
2025-10-10T00:55:10.3483578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3483666Z     x = self.forward_features(x)
2025-10-10T00:55:10.3483926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 415, in forward_features
2025-10-10T00:55:10.3484004Z     x = self.stage2(x)
2025-10-10T00:55:10.3484228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3484323Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3484327Z 
2025-10-10T00:55:10.3484442Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3484651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3484728Z     return mod(*inputs)
2025-10-10T00:55:10.3484942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3485016Z     x = self.forward_features(x)
2025-10-10T00:55:10.3485263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 419, in forward_features
2025-10-10T00:55:10.3485347Z     x = self.patch_embed3(x)
2025-10-10T00:55:10.3485580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/patch_embed.py", line 131, in forward
2025-10-10T00:55:10.3485650Z     x = self.proj(x)
2025-10-10T00:55:10.3485654Z 
2025-10-10T00:55:10.3485763Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3485978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3486047Z     return mod(*inputs)
2025-10-10T00:55:10.3486294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3486369Z     x = self.forward_features(x)
2025-10-10T00:55:10.3486615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3486690Z     x = self.stage3(x)
2025-10-10T00:55:10.3486944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3487045Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3487253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3487409Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3487421Z 
2025-10-10T00:55:10.3487525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3487724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3487797Z     return mod(*inputs)
2025-10-10T00:55:10.3488000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3488079Z     x = self.forward_features(x)
2025-10-10T00:55:10.3488308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3488375Z     x = self.stage3(x)
2025-10-10T00:55:10.3488585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3488679Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3488887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3488979Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3488983Z 
2025-10-10T00:55:10.3489089Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3489295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3489359Z     return mod(*inputs)
2025-10-10T00:55:10.3489569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3489643Z     x = self.forward_features(x)
2025-10-10T00:55:10.3489877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3489951Z     x = self.stage3(x)
2025-10-10T00:55:10.3490163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3490268Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3490482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3490590Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3490594Z 
2025-10-10T00:55:10.3490703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3490912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3490993Z     return mod(*inputs)
2025-10-10T00:55:10.3491207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3491295Z     x = self.forward_features(x)
2025-10-10T00:55:10.3491535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3491605Z     x = self.stage3(x)
2025-10-10T00:55:10.3491826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3491923Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3492146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3492265Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3492269Z 
2025-10-10T00:55:10.3492386Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3492592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3492693Z     return mod(*inputs)
2025-10-10T00:55:10.3492957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3493036Z     x = self.forward_features(x)
2025-10-10T00:55:10.3493283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3493352Z     x = self.stage3(x)
2025-10-10T00:55:10.3493567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3493672Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3493887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3493960Z     x = attn @ v
2025-10-10T00:55:10.3493965Z 
2025-10-10T00:55:10.3494073Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3494282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3494366Z     return mod(*inputs)
2025-10-10T00:55:10.3494583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3494669Z     x = self.forward_features(x)
2025-10-10T00:55:10.3494918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3494988Z     x = self.stage3(x)
2025-10-10T00:55:10.3495220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3495319Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3495548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3495615Z     x = attn @ v
2025-10-10T00:55:10.3495619Z 
2025-10-10T00:55:10.3495739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3495969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3496040Z     return mod(*inputs)
2025-10-10T00:55:10.3496264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3496339Z     x = self.forward_features(x)
2025-10-10T00:55:10.3496594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3496665Z     x = self.stage3(x)
2025-10-10T00:55:10.3496886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3496992Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3497211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3497318Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3497324Z 
2025-10-10T00:55:10.3497419Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3497529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3497753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3497826Z     return mod(*inputs)
2025-10-10T00:55:10.3498057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3498136Z     x = self.forward_features(x)
2025-10-10T00:55:10.3498385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3498483Z     x = self.stage3(x)
2025-10-10T00:55:10.3498713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3498815Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3499092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3499190Z     x = self.proj(x)
2025-10-10T00:55:10.3499194Z 
2025-10-10T00:55:10.3499307Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3499522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3499602Z     return mod(*inputs)
2025-10-10T00:55:10.3499823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3499909Z     x = self.forward_features(x)
2025-10-10T00:55:10.3500157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3500229Z     x = self.stage3(x)
2025-10-10T00:55:10.3500456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3500555Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3500561Z 
2025-10-10T00:55:10.3500681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3500894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3500967Z     return mod(*inputs)
2025-10-10T00:55:10.3501195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3501272Z     x = self.forward_features(x)
2025-10-10T00:55:10.3501528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3501601Z     x = self.stage3(x)
2025-10-10T00:55:10.3501818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3501925Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3502144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3502225Z     x = self.conv1(x)
2025-10-10T00:55:10.3502229Z 
2025-10-10T00:55:10.3502342Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3502638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3502718Z     return mod(*inputs)
2025-10-10T00:55:10.3502954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3503043Z     x = self.forward_features(x)
2025-10-10T00:55:10.3503300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3503380Z     x = self.stage3(x)
2025-10-10T00:55:10.3503607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3503706Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3503946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3504018Z     x = self.act1(x)
2025-10-10T00:55:10.3504022Z 
2025-10-10T00:55:10.3504145Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3504364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3504439Z     return mod(*inputs)
2025-10-10T00:55:10.3504673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3504783Z     x = self.forward_features(x)
2025-10-10T00:55:10.3505042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3505116Z     x = self.stage3(x)
2025-10-10T00:55:10.3505338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3505463Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3505718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3505798Z     x = self.conv3(x)
2025-10-10T00:55:10.3505802Z 
2025-10-10T00:55:10.3505913Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3506132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3506205Z     return mod(*inputs)
2025-10-10T00:55:10.3506426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3506514Z     x = self.forward_features(x)
2025-10-10T00:55:10.3506766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3506851Z     x = self.stage3(x)
2025-10-10T00:55:10.3507059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3507154Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3507158Z 
2025-10-10T00:55:10.3507268Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3507464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3507537Z     return mod(*inputs)
2025-10-10T00:55:10.3507741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3507812Z     x = self.forward_features(x)
2025-10-10T00:55:10.3508048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3508112Z     x = self.stage3(x)
2025-10-10T00:55:10.3508322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3508413Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3508629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3508785Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3508790Z 
2025-10-10T00:55:10.3508893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3509099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3509167Z     return mod(*inputs)
2025-10-10T00:55:10.3509386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3509462Z     x = self.forward_features(x)
2025-10-10T00:55:10.3509710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3509788Z     x = self.stage3(x)
2025-10-10T00:55:10.3510002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3510111Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3510326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3510423Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3510435Z 
2025-10-10T00:55:10.3510543Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3510753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3510853Z     return mod(*inputs)
2025-10-10T00:55:10.3511070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3511155Z     x = self.forward_features(x)
2025-10-10T00:55:10.3511395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3511483Z     x = self.stage3(x)
2025-10-10T00:55:10.3511739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3511837Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3512059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3512153Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3512157Z 
2025-10-10T00:55:10.3512267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3512495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3512561Z     return mod(*inputs)
2025-10-10T00:55:10.3512931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3513015Z     x = self.forward_features(x)
2025-10-10T00:55:10.3513267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3513350Z     x = self.stage3(x)
2025-10-10T00:55:10.3513580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3513684Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3513912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3514017Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3514023Z 
2025-10-10T00:55:10.3514136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3514363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3514445Z     return mod(*inputs)
2025-10-10T00:55:10.3514665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3514752Z     x = self.forward_features(x)
2025-10-10T00:55:10.3515003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3515074Z     x = self.stage3(x)
2025-10-10T00:55:10.3515305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3515402Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3515628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3515705Z     x = attn @ v
2025-10-10T00:55:10.3515709Z 
2025-10-10T00:55:10.3515814Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3516021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3516087Z     return mod(*inputs)
2025-10-10T00:55:10.3516303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3516379Z     x = self.forward_features(x)
2025-10-10T00:55:10.3516619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3516686Z     x = self.stage3(x)
2025-10-10T00:55:10.3516891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3516990Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3517197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3517312Z     x = attn @ v
2025-10-10T00:55:10.3517315Z 
2025-10-10T00:55:10.3517421Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3517622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3517697Z     return mod(*inputs)
2025-10-10T00:55:10.3518004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3518085Z     x = self.forward_features(x)
2025-10-10T00:55:10.3518314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3518380Z     x = self.stage3(x)
2025-10-10T00:55:10.3518594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3518684Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3518897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3518990Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3518994Z 
2025-10-10T00:55:10.3519081Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3519194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3519398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3519476Z     return mod(*inputs)
2025-10-10T00:55:10.3519682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3519765Z     x = self.forward_features(x)
2025-10-10T00:55:10.3519994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3520060Z     x = self.stage3(x)
2025-10-10T00:55:10.3520274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3520362Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3520575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3520646Z     x = self.proj(x)
2025-10-10T00:55:10.3520650Z 
2025-10-10T00:55:10.3520761Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3520982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3521054Z     return mod(*inputs)
2025-10-10T00:55:10.3521285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3521358Z     x = self.forward_features(x)
2025-10-10T00:55:10.3521584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3521659Z     x = self.stage3(x)
2025-10-10T00:55:10.3521859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3521956Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3521960Z 
2025-10-10T00:55:10.3522064Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3522267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3522336Z     return mod(*inputs)
2025-10-10T00:55:10.3522537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3522618Z     x = self.forward_features(x)
2025-10-10T00:55:10.3522848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3522920Z     x = self.stage3(x)
2025-10-10T00:55:10.3523124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3523257Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3523469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3523535Z     x = self.conv1(x)
2025-10-10T00:55:10.3523539Z 
2025-10-10T00:55:10.3523651Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3523897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3523966Z     return mod(*inputs)
2025-10-10T00:55:10.3524179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3524250Z     x = self.forward_features(x)
2025-10-10T00:55:10.3524490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3524559Z     x = self.stage3(x)
2025-10-10T00:55:10.3524778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3524881Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3525100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3525173Z     x = self.act1(x)
2025-10-10T00:55:10.3525177Z 
2025-10-10T00:55:10.3525282Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3525486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3525551Z     return mod(*inputs)
2025-10-10T00:55:10.3525764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3525846Z     x = self.forward_features(x)
2025-10-10T00:55:10.3526088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3526167Z     x = self.stage3(x)
2025-10-10T00:55:10.3526382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3526475Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3526697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3526766Z     x = self.conv3(x)
2025-10-10T00:55:10.3526772Z 
2025-10-10T00:55:10.3526890Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3527097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3527168Z     return mod(*inputs)
2025-10-10T00:55:10.3527391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3527466Z     x = self.forward_features(x)
2025-10-10T00:55:10.3527714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3527784Z     x = self.stage3(x)
2025-10-10T00:55:10.3527998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3528099Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3528103Z 
2025-10-10T00:55:10.3528212Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3528429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3528500Z     return mod(*inputs)
2025-10-10T00:55:10.3528724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3528798Z     x = self.forward_features(x)
2025-10-10T00:55:10.3529044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3529143Z     x = self.stage3(x)
2025-10-10T00:55:10.3529361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3529465Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3529469Z 
2025-10-10T00:55:10.3529579Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3529792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3529923Z     return mod(*inputs)
2025-10-10T00:55:10.3530139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3530221Z     x = self.forward_features(x)
2025-10-10T00:55:10.3530461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3530529Z     x = self.stage3(x)
2025-10-10T00:55:10.3530753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3530850Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3531069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3531232Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3531238Z 
2025-10-10T00:55:10.3531359Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3531568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3531641Z     return mod(*inputs)
2025-10-10T00:55:10.3531863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3531938Z     x = self.forward_features(x)
2025-10-10T00:55:10.3532186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3532256Z     x = self.stage3(x)
2025-10-10T00:55:10.3532472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3532576Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3532787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3532891Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3532898Z 
2025-10-10T00:55:10.3533005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3533253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3533344Z     return mod(*inputs)
2025-10-10T00:55:10.3533579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3533662Z     x = self.forward_features(x)
2025-10-10T00:55:10.3533904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3533981Z     x = self.stage3(x)
2025-10-10T00:55:10.3534213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3534308Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3534538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3534633Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3534636Z 
2025-10-10T00:55:10.3534750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3534967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3535037Z     return mod(*inputs)
2025-10-10T00:55:10.3535268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3535364Z     x = self.forward_features(x)
2025-10-10T00:55:10.3535617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3535688Z     x = self.stage3(x)
2025-10-10T00:55:10.3535918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3536039Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3536293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3536398Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3536402Z 
2025-10-10T00:55:10.3536513Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3536741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3536812Z     return mod(*inputs)
2025-10-10T00:55:10.3537034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3537119Z     x = self.forward_features(x)
2025-10-10T00:55:10.3537363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3537441Z     x = self.stage3(x)
2025-10-10T00:55:10.3537672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3537770Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3537998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3538065Z     x = attn @ v
2025-10-10T00:55:10.3538069Z 
2025-10-10T00:55:10.3538188Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3538408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3538480Z     return mod(*inputs)
2025-10-10T00:55:10.3538717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3538793Z     x = self.forward_features(x)
2025-10-10T00:55:10.3539044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3539116Z     x = self.stage3(x)
2025-10-10T00:55:10.3539346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3539452Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3539677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3539749Z     x = attn @ v
2025-10-10T00:55:10.3539753Z 
2025-10-10T00:55:10.3539861Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3540092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3540163Z     return mod(*inputs)
2025-10-10T00:55:10.3540388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3540471Z     x = self.forward_features(x)
2025-10-10T00:55:10.3540712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3540792Z     x = self.stage3(x)
2025-10-10T00:55:10.3541008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3541103Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3541325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3541421Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3541425Z 
2025-10-10T00:55:10.3541546Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3541657Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3541877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3541956Z     return mod(*inputs)
2025-10-10T00:55:10.3542177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3542278Z     x = self.forward_features(x)
2025-10-10T00:55:10.3542634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3542712Z     x = self.stage3(x)
2025-10-10T00:55:10.3542939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3543037Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3543263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3543336Z     x = self.proj(x)
2025-10-10T00:55:10.3543340Z 
2025-10-10T00:55:10.3543460Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3543672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3543744Z     return mod(*inputs)
2025-10-10T00:55:10.3543970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3544048Z     x = self.forward_features(x)
2025-10-10T00:55:10.3544300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3544371Z     x = self.stage3(x)
2025-10-10T00:55:10.3544588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3544693Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3544698Z 
2025-10-10T00:55:10.3544808Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3545029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3545100Z     return mod(*inputs)
2025-10-10T00:55:10.3545317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3545412Z     x = self.forward_features(x)
2025-10-10T00:55:10.3545639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3545717Z     x = self.stage3(x)
2025-10-10T00:55:10.3545916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3546015Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3546221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3546288Z     x = self.conv1(x)
2025-10-10T00:55:10.3546292Z 
2025-10-10T00:55:10.3546403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3546603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3546676Z     return mod(*inputs)
2025-10-10T00:55:10.3546879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3546956Z     x = self.forward_features(x)
2025-10-10T00:55:10.3547195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3547261Z     x = self.stage3(x)
2025-10-10T00:55:10.3547473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3547564Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3547768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3547869Z     x = self.act1(x)
2025-10-10T00:55:10.3547872Z 
2025-10-10T00:55:10.3547975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3548177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3548244Z     return mod(*inputs)
2025-10-10T00:55:10.3548495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3548579Z     x = self.forward_features(x)
2025-10-10T00:55:10.3548804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3548878Z     x = self.stage3(x)
2025-10-10T00:55:10.3549081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3549188Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3549385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3549449Z     x = self.conv3(x)
2025-10-10T00:55:10.3549452Z 
2025-10-10T00:55:10.3549561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3549758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3549834Z     return mod(*inputs)
2025-10-10T00:55:10.3550038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3550111Z     x = self.forward_features(x)
2025-10-10T00:55:10.3550346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3550412Z     x = self.stage3(x)
2025-10-10T00:55:10.3550620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3550713Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3550717Z 
2025-10-10T00:55:10.3550818Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3551025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3551094Z     return mod(*inputs)
2025-10-10T00:55:10.3551317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3551398Z     x = self.forward_features(x)
2025-10-10T00:55:10.3551654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3551719Z     x = self.stage3(x)
2025-10-10T00:55:10.3551919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3552018Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3552226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 92, in forward
2025-10-10T00:55:10.3552398Z     x = self.qkv(x).reshape(B, 3, self.num_heads, self.head_dim, -1).permute(1, 0, 2, 4, 3)
2025-10-10T00:55:10.3552402Z 
2025-10-10T00:55:10.3552511Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3552721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3552805Z     return mod(*inputs)
2025-10-10T00:55:10.3553025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3553106Z     x = self.forward_features(x)
2025-10-10T00:55:10.3553334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3553400Z     x = self.stage3(x)
2025-10-10T00:55:10.3553608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3553718Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3553926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3554017Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3554022Z 
2025-10-10T00:55:10.3554140Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3554403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3554478Z     return mod(*inputs)
2025-10-10T00:55:10.3554705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3554783Z     x = self.forward_features(x)
2025-10-10T00:55:10.3555039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3555109Z     x = self.stage3(x)
2025-10-10T00:55:10.3555330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3555434Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3555654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3555758Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3555764Z 
2025-10-10T00:55:10.3555877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3556092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3556171Z     return mod(*inputs)
2025-10-10T00:55:10.3556386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3556465Z     x = self.forward_features(x)
2025-10-10T00:55:10.3556692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3556766Z     x = self.stage3(x)
2025-10-10T00:55:10.3556969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3557057Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3557266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 101, in forward
2025-10-10T00:55:10.3557359Z     attn = (q @ k.transpose(-2, -1)) * self.scale
2025-10-10T00:55:10.3557362Z 
2025-10-10T00:55:10.3557473Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3557685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3557757Z     return mod(*inputs)
2025-10-10T00:55:10.3557981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3558060Z     x = self.forward_features(x)
2025-10-10T00:55:10.3558310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3558379Z     x = self.stage3(x)
2025-10-10T00:55:10.3558592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3558697Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3558913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3558987Z     x = attn @ v
2025-10-10T00:55:10.3558991Z 
2025-10-10T00:55:10.3559099Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3559313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3559391Z     return mod(*inputs)
2025-10-10T00:55:10.3559608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3559715Z     x = self.forward_features(x)
2025-10-10T00:55:10.3559956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3560034Z     x = self.stage3(x)
2025-10-10T00:55:10.3560249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3560363Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3560622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 104, in forward
2025-10-10T00:55:10.3560689Z     x = attn @ v
2025-10-10T00:55:10.3560692Z 
2025-10-10T00:55:10.3560808Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3561018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3561089Z     return mod(*inputs)
2025-10-10T00:55:10.3561317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3561395Z     x = self.forward_features(x)
2025-10-10T00:55:10.3561643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3561711Z     x = self.stage3(x)
2025-10-10T00:55:10.3561927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3562037Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3562252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 106, in forward
2025-10-10T00:55:10.3562357Z     x = x.permute(0, 1, 3, 2).reshape(B, -1, H, W)
2025-10-10T00:55:10.3562360Z 
2025-10-10T00:55:10.3562450Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3562566Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3562778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3562851Z     return mod(*inputs)
2025-10-10T00:55:10.3563076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3563152Z     x = self.forward_features(x)
2025-10-10T00:55:10.3563400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3563473Z     x = self.stage3(x)
2025-10-10T00:55:10.3563691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 156, in forward
2025-10-10T00:55:10.3563795Z     x = x + self.drop_path(self.attn(self.norm1(x)))
2025-10-10T00:55:10.3564015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 107, in forward
2025-10-10T00:55:10.3564093Z     x = self.proj(x)
2025-10-10T00:55:10.3564096Z 
2025-10-10T00:55:10.3564207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3564418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3564498Z     return mod(*inputs)
2025-10-10T00:55:10.3564716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3564799Z     x = self.forward_features(x)
2025-10-10T00:55:10.3565044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3565114Z     x = self.stage3(x)
2025-10-10T00:55:10.3565338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3565433Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3565437Z 
2025-10-10T00:55:10.3565553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3565763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3565863Z     return mod(*inputs)
2025-10-10T00:55:10.3566078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3566154Z     x = self.forward_features(x)
2025-10-10T00:55:10.3566402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3566520Z     x = self.stage3(x)
2025-10-10T00:55:10.3566785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3566880Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3567094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 62, in forward
2025-10-10T00:55:10.3567172Z     x = self.conv1(x)
2025-10-10T00:55:10.3567175Z 
2025-10-10T00:55:10.3567284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3567501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3567571Z     return mod(*inputs)
2025-10-10T00:55:10.3567785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3567868Z     x = self.forward_features(x)
2025-10-10T00:55:10.3568107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3568186Z     x = self.stage3(x)
2025-10-10T00:55:10.3568399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3568492Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3568712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 63, in forward
2025-10-10T00:55:10.3568779Z     x = self.act1(x)
2025-10-10T00:55:10.3568782Z 
2025-10-10T00:55:10.3568898Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3569108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3569186Z     return mod(*inputs)
2025-10-10T00:55:10.3569403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3569477Z     x = self.forward_features(x)
2025-10-10T00:55:10.3569729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 425, in forward_features
2025-10-10T00:55:10.3569799Z     x = self.stage3(x)
2025-10-10T00:55:10.3570019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 157, in forward
2025-10-10T00:55:10.3570112Z     x = x + self.drop_path(self.mlp(self.norm2(x)))
2025-10-10T00:55:10.3570324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 68, in forward
2025-10-10T00:55:10.3570401Z     x = self.conv3(x)
2025-10-10T00:55:10.3570407Z 
2025-10-10T00:55:10.3570517Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3570733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3570803Z     return mod(*inputs)
2025-10-10T00:55:10.3571019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 436, in forward
2025-10-10T00:55:10.3571106Z     x = self.forward_features(x)
2025-10-10T00:55:10.3571350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 427, in forward_features
2025-10-10T00:55:10.3571427Z     x = self.norm(x)
2025-10-10T00:55:10.3571430Z 
2025-10-10T00:55:10.3571522Z cudagraph partition due to non gpu ops
2025-10-10T00:55:10.3571630Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3571846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3571939Z     return mod(*inputs)
2025-10-10T00:55:10.3572166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 437, in forward
2025-10-10T00:55:10.3572245Z     x = self.forward_head(x)
2025-10-10T00:55:10.3572495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 431, in forward_head
2025-10-10T00:55:10.3572575Z     x = self.global_pool(x)
2025-10-10T00:55:10.3572886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py", line 172, in forward
2025-10-10T00:55:10.3572969Z     x = self.pool(x)
2025-10-10T00:55:10.3572973Z 
2025-10-10T00:55:10.3573094Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:55:10.3573306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/timm_models.py", line 389, in forward_pass
2025-10-10T00:55:10.3573376Z     return mod(*inputs)
2025-10-10T00:55:10.3573592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 437, in forward
2025-10-10T00:55:10.3573678Z     x = self.forward_head(x)
2025-10-10T00:55:10.3573913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/visformer.py", line 433, in forward_head
2025-10-10T00:55:10.3574017Z     return x if pre_logits else self.head(x)
2025-10-10T00:55:10.3574021Z 
2025-10-10T00:55:23.2073058Z Compilation time (from dynamo_timed): 30.414297004
2025-10-10T00:55:23.2096379Z pass
2025-10-10T00:55:23.2098629Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:55:23.2099597Z TIMING: _recursive_pre_grad_passes:0.007 _recursive_joint_graph_passes:0.49794 _recursive_post_grad_passes:0.10057 async_compile.wait:1.08275 code_gen:12.08533 inductor_compile:16.04505 backend_compile:24.73108 gc:0.00068 entire_frame_compile:30.4143 total_wall_time:30.4143
2025-10-10T00:55:23.2100697Z STATS: call_* op count: 291 | FakeTensorMode.__torch_dispatch__:7019 | attempt fast:97 | fast is_contiguous:97 | FakeTensor.__torch_dispatch__:4784 | ProxyTorchDispatchMode.__torch_dispatch__:2298
2025-10-10T00:55:23.2101348Z Dynamo produced 1 graphs covering 291 ops with 0 graph breaks (0 unique)
2025-10-10T00:55:26.2758014Z accuracy            pass_rate=100.00%
2025-10-10T00:55:26.2758385Z calls_captured      gmean=338.61x mean=433.429x
2025-10-10T00:55:26.2763689Z unique_graphs       gmean=1.00x mean=1.000x
2025-10-10T00:55:26.2769546Z graph_breaks        gmean=0.00x mean=0.000x
2025-10-10T00:55:26.2770452Z unique_graph_breaks gmean=0.00x mean=0.000x
2025-10-10T00:55:26.2770794Z autograd_captures   gmean=0.00x mean=0.000x
2025-10-10T00:55:26.2773816Z autograd_compiles   gmean=0.00x mean=0.000x
2025-10-10T00:55:26.2774685Z cudagraph_skips     gmean=1.00x mean=1.000x
2025-10-10T00:55:26.2774945Z compilation_latency mean=52.002 seconds
2025-10-10T00:55:27.2113468Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_timm_inference.csv
2025-10-10T00:55:27.4930852Z mobilenetv3_large_100               PASS
2025-10-10T00:55:27.4931174Z mobilevit_s                         PASS
2025-10-10T00:55:27.4936909Z nfnet_l0                            PASS
2025-10-10T00:55:27.4942639Z repvgg_a2                           PASS
2025-10-10T00:55:27.4942986Z swin_base_patch4_window7_224        PASS
2025-10-10T00:55:27.4943270Z tf_efficientnet_b0                  PASS
2025-10-10T00:55:27.4946681Z visformer_small                     PASS
2025-10-10T00:55:27.5473493Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_timm_models.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_cpu_inductor_timm_inference.csv
2025-10-10T00:55:27.8293366Z mobilenetv3_large_100               PASS
2025-10-10T00:55:27.8298002Z mobilevit_s                         PASS
2025-10-10T00:55:27.8298353Z nfnet_l0                            PASS
2025-10-10T00:55:27.8300817Z repvgg_a2                           PASS
2025-10-10T00:55:27.8307341Z swin_base_patch4_window7_224        PASS
2025-10-10T00:55:27.8307626Z tf_efficientnet_b0                  PASS
2025-10-10T00:55:27.8314848Z visformer_small                     PASS
2025-10-10T00:55:27.8863415Z + sccache_epilogue
2025-10-10T00:55:27.8863796Z + echo '::group::Sccache Compilation Log'
2025-10-10T00:55:27.8864419Z ##[group]Sccache Compilation Log
2025-10-10T00:55:27.8865105Z + echo '=================== sccache compilation log ==================='
2025-10-10T00:55:27.8865377Z =================== sccache compilation log ===================
2025-10-10T00:55:27.8865793Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-10-10T00:55:27.9079049Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-10-10T00:55:27.9079708Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-10-10T00:55:27.9080730Z + sccache --show-stats
2025-10-10T00:55:27.9106995Z Compile requests                    300
2025-10-10T00:55:27.9107264Z Compile requests executed             0
2025-10-10T00:55:27.9107500Z Cache hits                            0
2025-10-10T00:55:27.9107718Z Cache misses                          0
2025-10-10T00:55:27.9107935Z Cache hits rate                       -
2025-10-10T00:55:27.9108180Z Cache timeouts                        0
2025-10-10T00:55:27.9108418Z Cache read errors                     0
2025-10-10T00:55:27.9108640Z Forced recaches                       0
2025-10-10T00:55:27.9108851Z Cache write errors                    0
2025-10-10T00:55:27.9109106Z Cache errors                          0
2025-10-10T00:55:27.9109316Z Compilations                          0
2025-10-10T00:55:27.9109531Z Compilation failures                  0
2025-10-10T00:55:27.9109758Z Non-cacheable compilations            0
2025-10-10T00:55:27.9109989Z Non-cacheable calls                   7
2025-10-10T00:55:27.9110232Z Non-compilation calls               293
2025-10-10T00:55:27.9110465Z Unsupported compiler calls            0
2025-10-10T00:55:27.9110705Z Average cache write               0.000 s
2025-10-10T00:55:27.9110945Z Average compiler                  0.000 s
2025-10-10T00:55:27.9111177Z Average cache read hit            0.000 s
2025-10-10T00:55:27.9111423Z Failed distributed compilations       0
2025-10-10T00:55:27.9111604Z 
2025-10-10T00:55:27.9111720Z Non-cacheable reasons:
2025-10-10T00:55:27.9118496Z -E                                    7
2025-10-10T00:55:27.9118865Z 
2025-10-10T00:55:27.9119232Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T00:55:27.9119575Z Version (client)                0.10.0
2025-10-10T00:55:27.9123114Z + sccache --stop-server
2025-10-10T00:55:27.9138591Z Stopping sccache server...
2025-10-10T00:55:27.9140507Z Compile requests                    300
2025-10-10T00:55:27.9140824Z Compile requests executed             0
2025-10-10T00:55:27.9141098Z Cache hits                            0
2025-10-10T00:55:27.9141331Z Cache misses                          0
2025-10-10T00:55:27.9141568Z Cache hits rate                       -
2025-10-10T00:55:27.9141795Z Cache timeouts                        0
2025-10-10T00:55:27.9142017Z Cache read errors                     0
2025-10-10T00:55:27.9142241Z Forced recaches                       0
2025-10-10T00:55:27.9142750Z Cache write errors                    0
2025-10-10T00:55:27.9142995Z Cache errors                          0
2025-10-10T00:55:27.9143232Z Compilations                          0
2025-10-10T00:55:27.9143477Z Compilation failures                  0
2025-10-10T00:55:27.9143720Z Non-cacheable compilations            0
2025-10-10T00:55:27.9143945Z Non-cacheable calls                   7
2025-10-10T00:55:27.9144182Z Non-compilation calls               293
2025-10-10T00:55:27.9144418Z Unsupported compiler calls            0
2025-10-10T00:55:27.9144658Z Average cache write               0.000 s
2025-10-10T00:55:27.9145113Z Average compiler                  0.000 s
2025-10-10T00:55:27.9145347Z Average cache read hit            0.000 s
2025-10-10T00:55:27.9145584Z Failed distributed compilations       0
2025-10-10T00:55:27.9145732Z 
2025-10-10T00:55:27.9145822Z Non-cacheable reasons:
2025-10-10T00:55:27.9146026Z -E                                    7
2025-10-10T00:55:27.9146180Z 
2025-10-10T00:55:27.9146511Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T00:55:27.9146839Z Version (client)                0.10.0
2025-10-10T00:55:27.9147119Z + echo ::endgroup::
2025-10-10T00:55:27.9147564Z ##[endgroup]
2025-10-10T00:55:27.9147748Z + cleanup_workspace
2025-10-10T00:55:27.9148093Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-10-10T00:55:27.9148614Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-10-10T00:55:27.9149046Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-10-10T00:55:27.9149389Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-10-10T00:55:27.9149769Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-10-10T00:55:27.9150162Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-10-10T00:55:27.9150494Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-10-10T00:55:28.3706293Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-10-10T00:55:28.3706678Z with:
2025-10-10T00:55:28.3706927Z   benchmark-results-dir: test/test-reports
2025-10-10T00:55:28.3707200Z   dry-run: false
2025-10-10T00:55:28.3707414Z   schema-version: v3
2025-10-10T00:55:28.3707852Z   github-token: ***
2025-10-10T00:55:28.3708054Z env:
2025-10-10T00:55:28.3708248Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:28.3708633Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:28.3709049Z ##[endgroup]
2025-10-10T00:55:28.3737036Z ##[group]Run set -eux
2025-10-10T00:55:28.3737285Z set -eux
2025-10-10T00:55:28.3737457Z 
2025-10-10T00:55:28.3737639Z if [[ -n "" ]]; then
2025-10-10T00:55:28.3737850Z   source ""
2025-10-10T00:55:28.3738032Z fi
2025-10-10T00:55:28.3738311Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T00:55:28.3738710Z 
2025-10-10T00:55:28.3738877Z DEVICE_NAME=""
2025-10-10T00:55:28.3739066Z DEVICE_TYPE=""
2025-10-10T00:55:28.3739249Z 
2025-10-10T00:55:28.3739429Z if command -v nvidia-smi; then
2025-10-10T00:55:28.3739749Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-10-10T00:55:28.3740135Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-10-10T00:55:28.3740495Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-10-10T00:55:28.3740805Z   python3 -mpip install torch==2.7.1
2025-10-10T00:55:28.3741051Z elif command -v rocminfo; then
2025-10-10T00:55:28.3741349Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-10-10T00:55:28.3741728Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-10-10T00:55:28.3742106Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-10-10T00:55:28.3742737Z   # GPU device name coming from rocminfo instead
2025-10-10T00:55:28.3743006Z   DEVICE_NAME=rocm
2025-10-10T00:55:28.3743337Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-10-10T00:55:28.3743681Z fi
2025-10-10T00:55:28.3743851Z 
2025-10-10T00:55:28.3744062Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-10-10T00:55:28.3744349Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-10-10T00:55:28.3753193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:28.3753451Z env:
2025-10-10T00:55:28.3753619Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:28.3753950Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:28.3754285Z ##[endgroup]
2025-10-10T00:55:28.3785194Z + [[ -n '' ]]
2025-10-10T00:55:28.3785971Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T00:55:28.5638745Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:55:29.3860326Z Collecting boto3==1.35.33
2025-10-10T00:55:29.4032332Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-10-10T00:55:29.6359981Z Collecting psutil==7.0.0
2025-10-10T00:55:29.6403969Z   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)
2025-10-10T00:55:29.6688242Z Collecting pynvml==12.0.0
2025-10-10T00:55:29.6725386Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-10-10T00:55:29.6799250Z 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)
2025-10-10T00:55:29.7120407Z Collecting s3transfer<0.11.0,>=0.10.0
2025-10-10T00:55:29.7155982Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-10-10T00:55:30.5608143Z Collecting botocore<1.36.0,>=1.35.33
2025-10-10T00:55:30.5651916Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-10-10T00:55:30.6949549Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-10-10T00:55:30.7006478Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-10-10T00:55:30.7094681Z 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)
2025-10-10T00:55:30.7099790Z 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)
2025-10-10T00:55:30.8334932Z 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)
2025-10-10T00:55:30.9428644Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-10-10T00:55:31.3067034Z   Attempting uninstall: nvidia-ml-py
2025-10-10T00:55:31.3068892Z     Found existing installation: nvidia-ml-py 11.525.84
2025-10-10T00:55:31.3079558Z     Uninstalling nvidia-ml-py-11.525.84:
2025-10-10T00:55:31.3218398Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-10-10T00:55:31.3745650Z   Attempting uninstall: psutil
2025-10-10T00:55:31.3745993Z     Found existing installation: psutil 5.9.8
2025-10-10T00:55:31.3795665Z     Uninstalling psutil-5.9.8:
2025-10-10T00:55:31.3800948Z       Successfully uninstalled psutil-5.9.8
2025-10-10T00:55:31.5201963Z 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
2025-10-10T00:55:31.6343411Z + DEVICE_NAME=
2025-10-10T00:55:31.6343670Z + DEVICE_TYPE=
2025-10-10T00:55:31.6343864Z + command -v nvidia-smi
2025-10-10T00:55:31.6344076Z + command -v rocminfo
2025-10-10T00:55:31.6344267Z + echo DEVICE_NAME=
2025-10-10T00:55:31.6344446Z + echo DEVICE_TYPE=
2025-10-10T00:55:31.6378366Z ##[group]Run set -eux
2025-10-10T00:55:31.6378597Z set -eux
2025-10-10T00:55:31.6378855Z 
2025-10-10T00:55:31.6379041Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-10-10T00:55:31.6379297Z   echo "Missing github-token input"
2025-10-10T00:55:31.6379525Z   exit 1
2025-10-10T00:55:31.6379693Z fi
2025-10-10T00:55:31.6385951Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:31.6386221Z env:
2025-10-10T00:55:31.6386396Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:31.6386752Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:31.6387196Z   DEVICE_NAME: 
2025-10-10T00:55:31.6387380Z   DEVICE_TYPE: 
2025-10-10T00:55:31.6387829Z   GITHUB_TOKEN: ***
2025-10-10T00:55:31.6388004Z ##[endgroup]
2025-10-10T00:55:31.6410547Z + [[ -z *** ]]
2025-10-10T00:55:31.6450970Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-10-10T00:55:31.6451323Z with:
2025-10-10T00:55:31.6451684Z   github-token: ***
2025-10-10T00:55:31.6451888Z env:
2025-10-10T00:55:31.6452170Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:31.6452547Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:31.6452942Z   DEVICE_NAME: 
2025-10-10T00:55:31.6453144Z   DEVICE_TYPE: 
2025-10-10T00:55:31.6453340Z ##[endgroup]
2025-10-10T00:55:31.6470636Z ##[group]Run set -eux
2025-10-10T00:55:31.6470860Z set -eux
2025-10-10T00:55:31.6471043Z 
2025-10-10T00:55:31.6471393Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:55:31.6476319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:31.6476594Z env:
2025-10-10T00:55:31.6476773Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:31.6477110Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:31.6477451Z   DEVICE_NAME: 
2025-10-10T00:55:31.6477631Z   DEVICE_TYPE: 
2025-10-10T00:55:31.6477966Z   GITHUB_TOKEN: ***
2025-10-10T00:55:31.6478286Z ##[endgroup]
2025-10-10T00:55:31.6500640Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 18392306145 i-0beba8ef4b109a32f
2025-10-10T00:55:32.4611745Z setting job-id=52406535395
2025-10-10T00:55:32.4612177Z setting job-name=inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:55:32.4724531Z ##[group]Run set -eux
2025-10-10T00:55:32.4724763Z set -eux
2025-10-10T00:55:32.4724945Z 
2025-10-10T00:55:32.4725140Z if [[ -n "" ]]; then
2025-10-10T00:55:32.4725347Z   source ""
2025-10-10T00:55:32.4725530Z fi
2025-10-10T00:55:32.4725698Z 
2025-10-10T00:55:32.4725982Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-10-10T00:55:32.4726346Z   --schema-version "${SCHEMA_VERSION}" \
2025-10-10T00:55:32.4726594Z   --repo "${REPO}" \
2025-10-10T00:55:32.4726840Z   --head-branch "${HEAD_BRANCH}" \
2025-10-10T00:55:32.4727073Z   --head-sha "${HEAD_SHA}" \
2025-10-10T00:55:32.4727309Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-10-10T00:55:32.4727556Z   --run-attempt "${RUN_ATTEMPT}" \
2025-10-10T00:55:32.4727783Z   --job-id "${JOB_ID}" \
2025-10-10T00:55:32.4728001Z   --job-name "${JOB_NAME}"
2025-10-10T00:55:32.4732958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.4733226Z env:
2025-10-10T00:55:32.4733400Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.4733727Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.4734058Z   DEVICE_NAME: 
2025-10-10T00:55:32.4734238Z   DEVICE_TYPE: 
2025-10-10T00:55:32.4734414Z   SCHEMA_VERSION: v3
2025-10-10T00:55:32.4734608Z   REPO: pytorch/pytorch
2025-10-10T00:55:32.4734801Z   HEAD_BRANCH: refs/heads/main
2025-10-10T00:55:32.4735040Z   HEAD_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:55:32.4735289Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:55:32.4735489Z   RUN_ATTEMPT: 1
2025-10-10T00:55:32.4735657Z   JOB_ID: 52406535395
2025-10-10T00:55:32.4735960Z   JOB_NAME: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:55:32.4736284Z ##[endgroup]
2025-10-10T00:55:32.4761411Z + [[ -n '' ]]
2025-10-10T00:55:32.4762716Z + 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 344e6365a0068c2d2847fcec0c55dd53291d475e --workflow-id 18392306145 --run-attempt 1 --job-id 52406535395 --job-name 'inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)'
2025-10-10T00:55:32.5036612Z ##[group]Run set -eux
2025-10-10T00:55:32.5036827Z set -eux
2025-10-10T00:55:32.5036993Z 
2025-10-10T00:55:32.5037264Z if [[ -n "" ]]; then
2025-10-10T00:55:32.5037472Z   source ""
2025-10-10T00:55:32.5037657Z fi
2025-10-10T00:55:32.5037805Z 
2025-10-10T00:55:32.5038077Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-10-10T00:55:32.5042800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.5043060Z env:
2025-10-10T00:55:32.5043221Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.5043547Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.5043888Z   DEVICE_NAME: 
2025-10-10T00:55:32.5044058Z   DEVICE_TYPE: 
2025-10-10T00:55:32.5044220Z ##[endgroup]
2025-10-10T00:55:32.5069936Z + [[ -n '' ]]
2025-10-10T00:55:32.5076087Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-10-10T00:55:32.5403544Z INFO:root:Fail to import torch to get the device name
2025-10-10T00:55:32.5516308Z ##[group]Run set -eux
2025-10-10T00:55:32.5516519Z set -eux
2025-10-10T00:55:32.5516684Z 
2025-10-10T00:55:32.5516862Z # TODO (huydhn): Implement this part
2025-10-10T00:55:32.5517124Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:55:32.5521726Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.5521986Z env:
2025-10-10T00:55:32.5522151Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.5522479Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.5522839Z   DEVICE_NAME: 
2025-10-10T00:55:32.5523019Z   DEVICE_TYPE: 
2025-10-10T00:55:32.5523191Z ##[endgroup]
2025-10-10T00:55:32.5547107Z + echo 'dependencies={}'
2025-10-10T00:55:32.5567747Z ##[group]Run set -eux
2025-10-10T00:55:32.5567957Z set -eux
2025-10-10T00:55:32.5568124Z 
2025-10-10T00:55:32.5568278Z if [[ -n "" ]]; then
2025-10-10T00:55:32.5568497Z   source ""
2025-10-10T00:55:32.5568663Z fi
2025-10-10T00:55:32.5568815Z 
2025-10-10T00:55:32.5568998Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-10-10T00:55:32.5569298Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-10-10T00:55:32.5569605Z   # We don't want the job to fail if the directory doesn't exist
2025-10-10T00:55:32.5569853Z   exit 0
2025-10-10T00:55:32.5570002Z fi
2025-10-10T00:55:32.5570152Z 
2025-10-10T00:55:32.5570326Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-10-10T00:55:32.5570632Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T00:55:32.5570990Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T00:55:32.5571263Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T00:55:32.5571499Z     --runners "${RUNNER_INFO}" \
2025-10-10T00:55:32.5571743Z     --dependencies "${DEPENDENCIES}" \
2025-10-10T00:55:32.5571965Z     --dry-run
2025-10-10T00:55:32.5572134Z else
2025-10-10T00:55:32.5572389Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T00:55:32.5572730Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T00:55:32.5572999Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T00:55:32.5573222Z     --runners "${RUNNER_INFO}" \
2025-10-10T00:55:32.5573450Z     --dependencies "${DEPENDENCIES}"
2025-10-10T00:55:32.5573738Z fi
2025-10-10T00:55:32.5577929Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.5578184Z env:
2025-10-10T00:55:32.5578343Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.5578669Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.5579011Z   DEVICE_NAME: 
2025-10-10T00:55:32.5579184Z   DEVICE_TYPE: 
2025-10-10T00:55:32.5579435Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-10-10T00:55:32.5579663Z   DRY_RUN: false
2025-10-10T00:55:32.5580476Z   BENCHMARK_METADATA: {"timestamp": 1760057732, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535395}
2025-10-10T00:55:32.5581514Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-2-31.ec2.internal"}, "name": "", "type": ""}]
2025-10-10T00:55:32.5581926Z   DEPENDENCIES: {}
2025-10-10T00:55:32.5582111Z ##[endgroup]
2025-10-10T00:55:32.5601330Z + [[ -n '' ]]
2025-10-10T00:55:32.5601565Z + [[ ! -d test/test-reports ]]
2025-10-10T00:55:32.5601773Z + [[ false == \t\r\u\e ]]
2025-10-10T00:55:32.5603605Z + 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": 1760057732, "schema_version": "v3", "name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535395}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-2-31.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-10-10T00:55:32.6735418Z INFO:root:Upload test/test-reports/inference_timm_models.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535395/inference_timm_models.json
2025-10-10T00:55:32.6966411Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-10-10T00:55:32.9062108Z ##[group]Run cat test/**/*_toprint.log || true
2025-10-10T00:55:32.9062765Z cat test/**/*_toprint.log || true
2025-10-10T00:55:32.9067615Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.9067894Z env:
2025-10-10T00:55:32.9068080Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.9068424Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.9068773Z   DEVICE_NAME: 
2025-10-10T00:55:32.9068961Z   DEVICE_TYPE: 
2025-10-10T00:55:32.9069138Z ##[endgroup]
2025-10-10T00:55:32.9146773Z cat: 'test/**/*_toprint.log': No such file or directory
2025-10-10T00:55:32.9189575Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-10-10T00:55:32.9189856Z kill "$MONITOR_SCRIPT_PID"
2025-10-10T00:55:32.9193959Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:32.9194225Z env:
2025-10-10T00:55:32.9194400Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:32.9194725Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:32.9195069Z   DEVICE_NAME: 
2025-10-10T00:55:32.9195246Z   DEVICE_TYPE: 
2025-10-10T00:55:32.9195429Z   MONITOR_SCRIPT_PID: 48584
2025-10-10T00:55:32.9195629Z ##[endgroup]
2025-10-10T00:55:32.9292924Z Prepare all required actions
2025-10-10T00:55:32.9293405Z Getting action download info
2025-10-10T00:55:33.1151017Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:55:33.3446480Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-10-10T00:55:33.8026675Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-10-10T00:55:33.8026974Z with:
2025-10-10T00:55:33.8027294Z   file-suffix: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:55:33.8027668Z   s3-bucket: gha-artifacts
2025-10-10T00:55:33.8027884Z env:
2025-10-10T00:55:33.8028093Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8028481Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8028987Z   DEVICE_NAME: 
2025-10-10T00:55:33.8029190Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8029398Z ##[endgroup]
2025-10-10T00:55:33.8056748Z ##[group]Run # Remove any previous test jsons if they exist
2025-10-10T00:55:33.8057101Z # Remove any previous test jsons if they exist
2025-10-10T00:55:33.8057365Z rm -f test-jsons-*.zip
2025-10-10T00:55:33.8057670Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-10-10T00:55:33.8063219Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:33.8063508Z env:
2025-10-10T00:55:33.8063688Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8064039Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8064398Z   DEVICE_NAME: 
2025-10-10T00:55:33.8064587Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8064884Z   FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:55:33.8065179Z ##[endgroup]
2025-10-10T00:55:33.8192539Z   adding: test/test-reports/inference_timm_models.json (deflated 98%)
2025-10-10T00:55:33.8218940Z ##[group]Run # Remove any previous test reports if they exist
2025-10-10T00:55:33.8219301Z # Remove any previous test reports if they exist
2025-10-10T00:55:33.8219582Z rm -f test-reports-*.zip
2025-10-10T00:55:33.8219915Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-10-10T00:55:33.8225127Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:33.8225413Z env:
2025-10-10T00:55:33.8225593Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8225928Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8226264Z   DEVICE_NAME: 
2025-10-10T00:55:33.8226447Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8226725Z   FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:55:33.8227043Z ##[endgroup]
2025-10-10T00:55:33.8295216Z   adding: test/test-reports/inference_timm_models.csv (deflated 49%)
2025-10-10T00:55:33.8318980Z ##[group]Run # Remove any previous usage logs if they exist
2025-10-10T00:55:33.8319318Z # Remove any previous usage logs if they exist
2025-10-10T00:55:33.8319583Z rm -f logs-*.zip
2025-10-10T00:55:33.8319847Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-10-10T00:55:33.8320192Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-10-10T00:55:33.8324781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:33.8325048Z env:
2025-10-10T00:55:33.8325219Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8325537Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8325883Z   DEVICE_NAME: 
2025-10-10T00:55:33.8326049Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8326313Z   FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:55:33.8326605Z ##[endgroup]
2025-10-10T00:55:33.8381544Z   adding: usage_log.txt (deflated 95%)
2025-10-10T00:55:33.8391694Z 
2025-10-10T00:55:33.8392349Z zip error: Nothing to do! (logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip)
2025-10-10T00:55:33.8415399Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-10-10T00:55:33.8415769Z # Remove any previous debugging artifacts if they exist
2025-10-10T00:55:33.8416056Z rm -f debug-*.zip
2025-10-10T00:55:33.8416343Z if [ -d 'test/debug' ]; then
2025-10-10T00:55:33.8416601Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-10-10T00:55:33.8416851Z fi
2025-10-10T00:55:33.8421323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:33.8421598Z env:
2025-10-10T00:55:33.8421769Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8422113Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8422774Z   DEVICE_NAME: 
2025-10-10T00:55:33.8422980Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8423275Z   FILE_SUFFIX: test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395
2025-10-10T00:55:33.8423596Z ##[endgroup]
2025-10-10T00:55:33.8496458Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:55:33.8496702Z with:
2025-10-10T00:55:33.8496885Z   s3-bucket: gha-artifacts
2025-10-10T00:55:33.8497130Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:55:33.8497382Z   retention-days: 14
2025-10-10T00:55:33.8497579Z   if-no-files-found: warn
2025-10-10T00:55:33.8497785Z   path: test-jsons-*.zip
2025-10-10T00:55:33.8497980Z   name: artifact
2025-10-10T00:55:33.8498157Z   region: us-east-1
2025-10-10T00:55:33.8498323Z env:
2025-10-10T00:55:33.8498487Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:33.8498820Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:33.8499163Z   DEVICE_NAME: 
2025-10-10T00:55:33.8499336Z   DEVICE_TYPE: 
2025-10-10T00:55:33.8499507Z ##[endgroup]
2025-10-10T00:55:34.1327845Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:55:34.1328264Z With the provided path, there will be 1 file uploaded
2025-10-10T00:55:34.1328594Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:55:34.1359379Z Starting upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:34.2529964Z Finished upload of test-jsons-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:34.2692817Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:55:34.2693091Z with:
2025-10-10T00:55:34.2693281Z   s3-bucket: gha-artifacts
2025-10-10T00:55:34.2693529Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:55:34.2693798Z   retention-days: 14
2025-10-10T00:55:34.2694005Z   if-no-files-found: error
2025-10-10T00:55:34.2694226Z   path: test-reports-*.zip
2025-10-10T00:55:34.2694428Z   name: artifact
2025-10-10T00:55:34.2694606Z   region: us-east-1
2025-10-10T00:55:34.2694788Z env:
2025-10-10T00:55:34.2694959Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:34.2695305Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:34.2695667Z   DEVICE_NAME: 
2025-10-10T00:55:34.2695846Z   DEVICE_TYPE: 
2025-10-10T00:55:34.2696024Z ##[endgroup]
2025-10-10T00:55:34.5578206Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:55:34.5578602Z With the provided path, there will be 1 file uploaded
2025-10-10T00:55:34.5578960Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:55:34.5608889Z Starting upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:34.6844913Z Finished upload of test-reports-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:34.7033415Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:55:34.7033679Z with:
2025-10-10T00:55:34.7033855Z   s3-bucket: gha-artifacts
2025-10-10T00:55:34.7034087Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:55:34.7034326Z   retention-days: 14
2025-10-10T00:55:34.7034653Z   if-no-files-found: ignore
2025-10-10T00:55:34.7034860Z   path: logs-*.zip
2025-10-10T00:55:34.7035034Z   name: artifact
2025-10-10T00:55:34.7035203Z   region: us-east-1
2025-10-10T00:55:34.7035361Z env:
2025-10-10T00:55:34.7035522Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:34.7035847Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:34.7036234Z   DEVICE_NAME: 
2025-10-10T00:55:34.7036390Z   DEVICE_TYPE: 
2025-10-10T00:55:34.7036552Z ##[endgroup]
2025-10-10T00:55:34.9717536Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:55:34.9717947Z With the provided path, there will be 1 file uploaded
2025-10-10T00:55:34.9718287Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:55:34.9743695Z Starting upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:35.0859587Z Finished upload of logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:35.1006362Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:55:35.1006599Z with:
2025-10-10T00:55:35.1006778Z   s3-bucket: gha-artifacts
2025-10-10T00:55:35.1007019Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:55:35.1007266Z   retention-days: 14
2025-10-10T00:55:35.1007449Z   if-no-files-found: ignore
2025-10-10T00:55:35.1007667Z   path: debug-*.zip
2025-10-10T00:55:35.1007842Z   name: artifact
2025-10-10T00:55:35.1008018Z   region: us-east-1
2025-10-10T00:55:35.1008180Z env:
2025-10-10T00:55:35.1008348Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:35.1008673Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:35.1009006Z   DEVICE_NAME: 
2025-10-10T00:55:35.1009172Z   DEVICE_TYPE: 
2025-10-10T00:55:35.1009352Z ##[endgroup]
2025-10-10T00:55:35.3552117Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-10-10T00:55:35.3718824Z ##[group]Run # shellcheck disable=SC2156
2025-10-10T00:55:35.3719109Z # shellcheck disable=SC2156
2025-10-10T00:55:35.3719499Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-10-10T00:55:35.3724407Z shell: /usr/bin/bash -e {0}
2025-10-10T00:55:35.3724611Z env:
2025-10-10T00:55:35.3724778Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:35.3725108Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:35.3725434Z   DEVICE_NAME: 
2025-10-10T00:55:35.3725603Z   DEVICE_TYPE: 
2025-10-10T00:55:35.3725772Z ##[endgroup]
2025-10-10T00:55:35.5634899Z Prepare all required actions
2025-10-10T00:55:35.5635296Z Getting action download info
2025-10-10T00:55:35.7252055Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-10-10T00:55:35.7252326Z with:
2025-10-10T00:55:35.7252493Z   job_id: 52406535395
2025-10-10T00:55:35.7252780Z   job_name: inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:55:35.7253081Z   workflow_name: inductor
2025-10-10T00:55:35.7253270Z   workflow_run_id: 18392306145
2025-10-10T00:55:35.7253462Z   workflow_attempt: 1
2025-10-10T00:55:35.7253631Z env:
2025-10-10T00:55:35.7253800Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:35.7254145Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:35.7254483Z   DEVICE_NAME: 
2025-10-10T00:55:35.7254655Z   DEVICE_TYPE: 
2025-10-10T00:55:35.7254816Z ##[endgroup]
2025-10-10T00:55:35.7275882Z ##[group]Run echo "workflow_id: 18392306145"
2025-10-10T00:55:35.7276209Z echo "workflow_id: 18392306145"
2025-10-10T00:55:35.7276458Z echo "workflow_attempt: 1"
2025-10-10T00:55:35.7276690Z echo "workflow_Name: inductor"
2025-10-10T00:55:35.7276932Z echo "job_id: 52406535395"
2025-10-10T00:55:35.7277307Z echo "job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)"
2025-10-10T00:55:35.7277686Z echo "artifact_prefix: "
2025-10-10T00:55:35.7277916Z python3 --version
2025-10-10T00:55:35.7282731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:35.7282986Z env:
2025-10-10T00:55:35.7283150Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:35.7283450Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:35.7283867Z   DEVICE_NAME: 
2025-10-10T00:55:35.7284051Z   DEVICE_TYPE: 
2025-10-10T00:55:35.7284233Z ##[endgroup]
2025-10-10T00:55:35.7306796Z workflow_id: 18392306145
2025-10-10T00:55:35.7307125Z workflow_attempt: 1
2025-10-10T00:55:35.7310605Z workflow_Name: inductor
2025-10-10T00:55:35.7310872Z job_id: 52406535395
2025-10-10T00:55:35.7311224Z job_name:  inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)
2025-10-10T00:55:35.7311808Z artifact_prefix: 
2025-10-10T00:55:35.7325238Z Python 3.9.23
2025-10-10T00:55:35.7358562Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:55:35.7358798Z with:
2025-10-10T00:55:35.7358957Z   shell: bash
2025-10-10T00:55:35.7359130Z   timeout_minutes: 5
2025-10-10T00:55:35.7359314Z   max_attempts: 5
2025-10-10T00:55:35.7359494Z   retry_wait_seconds: 30
2025-10-10T00:55:35.7359863Z   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

2025-10-10T00:55:35.7360262Z   polling_interval_seconds: 1
2025-10-10T00:55:35.7360469Z   warning_on_retry: true
2025-10-10T00:55:35.7360659Z   continue_on_error: false
2025-10-10T00:55:35.7360843Z env:
2025-10-10T00:55:35.7361008Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:35.7361350Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:35.7361687Z   DEVICE_NAME: 
2025-10-10T00:55:35.7361871Z   DEVICE_TYPE: 
2025-10-10T00:55:35.7362035Z ##[endgroup]
2025-10-10T00:55:36.0080777Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:55:36.0742407Z Collecting python-dateutil==2.8.2
2025-10-10T00:55:36.0947588Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-10-10T00:55:36.8184482Z Collecting boto3==1.35.42
2025-10-10T00:55:36.8295333Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-10-10T00:55:37.2310085Z Collecting pandas==2.1.3
2025-10-10T00:55:37.2388985Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-10-10T00:55:37.6149001Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-10-10T00:55:37.6165023Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-10-10T00:55:37.6201807Z 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)
2025-10-10T00:55:37.6202741Z 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)
2025-10-10T00:55:37.6206030Z 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)
2025-10-10T00:55:38.2937791Z Collecting numpy<2,>=1.22.4
2025-10-10T00:55:38.2983939Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-10-10T00:55:38.4982098Z Collecting tzdata>=2022.1
2025-10-10T00:55:38.5118849Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-10-10T00:55:38.5209406Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-10-10T00:55:38.5236460Z 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)
2025-10-10T00:55:38.5238776Z 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)
2025-10-10T00:55:38.5283187Z 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)
2025-10-10T00:55:38.5371454Z 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)
2025-10-10T00:55:38.5452008Z 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)
2025-10-10T00:55:38.5453692Z 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)
2025-10-10T00:55:38.7032771Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-10-10T00:55:42.8667838Z   Attempting uninstall: boto3
2025-10-10T00:55:42.8668167Z     Found existing installation: boto3 1.35.33
2025-10-10T00:55:42.8740589Z     Uninstalling boto3-1.35.33:
2025-10-10T00:55:42.8748914Z       Successfully uninstalled boto3-1.35.33
2025-10-10T00:55:42.9202391Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-10-10T00:55:43.8081850Z Command completed after 1 attempt(s).
2025-10-10T00:55:43.8133704Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T00:55:43.8134167Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T00:55:43.8134495Z   --workflow-run-id "18392306145" \
2025-10-10T00:55:43.8134755Z   --workflow-name "inductor" \
2025-10-10T00:55:43.8134974Z   --workflow-run-attempt "1" \
2025-10-10T00:55:43.8135176Z   --job-id "52406535395" \
2025-10-10T00:55:43.8135498Z   --job-name "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)" \
2025-10-10T00:55:43.8135814Z   --local-path "" \
2025-10-10T00:55:43.8136009Z   --artifact-prefix ""
2025-10-10T00:55:43.8141622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:43.8141886Z env:
2025-10-10T00:55:43.8142064Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:43.8142400Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:43.8143111Z   DEVICE_NAME: 
2025-10-10T00:55:43.8143290Z   DEVICE_TYPE: 
2025-10-10T00:55:43.8143473Z ##[endgroup]
2025-10-10T00:55:44.5733354Z repo: pytorch/pytorch
2025-10-10T00:55:44.5733690Z Search for test log in s3 bucket: ossci-utilization
2025-10-10T00:55:44.5734580Z Downloading logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:44.5735143Z extracting usage_log.txt from zip file logs-test-dynamic_cpu_inductor_timm-2-2-linux.8xlarge.amx_52406535395.zip
2025-10-10T00:55:44.5735617Z Converted Log Model: UtilizationMetadata:
2025-10-10T00:55:44.5736540Z  UtilizationMetadata(level='metadata', workflow_id='18392306145', job_id='52406535395', workflow_name='inductor', job_name='inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1760057205, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-10-10T00:55:44.5737443Z [Db Segments] detected pytest cmd: 9, generated segments: 9
2025-10-10T00:55:44.5737726Z [db model] Peek db timeseries 
2025-10-10T00:55:44.5737927Z :{
2025-10-10T00:55:44.5738091Z     "created_at": 1760057744,
2025-10-10T00:55:44.5738287Z     "type": "utilization",
2025-10-10T00:55:44.5738475Z     "tags": [
2025-10-10T00:55:44.5738642Z         "record"
2025-10-10T00:55:44.5738807Z     ],
2025-10-10T00:55:44.5738965Z     "time_stamp": 1760057205,
2025-10-10T00:55:44.5739173Z     "repo": "pytorch/pytorch",
2025-10-10T00:55:44.5739380Z     "workflow_id": 18392306145,
2025-10-10T00:55:44.5739580Z     "run_attempt": 1,
2025-10-10T00:55:44.5739759Z     "job_id": 52406535395,
2025-10-10T00:55:44.5739957Z     "workflow_name": "inductor",
2025-10-10T00:55:44.5740289Z     "job_name": "inductor-cpu-test / test (dynamic_cpu_inductor_timm, 2, 2, linux.8xlarge.amx)",
2025-10-10T00:55:44.5740613Z     "json_data": "{}"
2025-10-10T00:55:44.5740781Z }
2025-10-10T00:55:44.5741121Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535395/metadata
2025-10-10T00:55:44.5741809Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535395/metadata 
2025-10-10T00:55:44.5742773Z Writing 103 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535395/time_series
2025-10-10T00:55:44.5743415Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535395/time_series 
2025-10-10T00:55:44.6780386Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-10-10T00:55:44.6780756Z with:
2025-10-10T00:55:44.6780955Z env:
2025-10-10T00:55:44.6781204Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:44.6781612Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:44.6782022Z   DEVICE_NAME: 
2025-10-10T00:55:44.6782235Z   DEVICE_TYPE: 
2025-10-10T00:55:44.6782643Z ##[endgroup]
2025-10-10T00:55:44.6801928Z ##[group]Run set -eou pipefail
2025-10-10T00:55:44.6802388Z set -eou pipefail
2025-10-10T00:55:44.6802597Z 
2025-10-10T00:55:44.6802867Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-10-10T00:55:44.6803237Z for _ in $(seq 1440); do
2025-10-10T00:55:44.6803499Z     # Break if no ssh session exists anymore
2025-10-10T00:55:44.6803775Z     if [ "$(who)" = "" ]; then
2025-10-10T00:55:44.6804011Z       break
2025-10-10T00:55:44.6804220Z     fi
2025-10-10T00:55:44.6804400Z     echo "."
2025-10-10T00:55:44.6804580Z     sleep 5
2025-10-10T00:55:44.6804757Z done
2025-10-10T00:55:44.6809693Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:44.6809970Z env:
2025-10-10T00:55:44.6810139Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:44.6810487Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:44.6810844Z   DEVICE_NAME: 
2025-10-10T00:55:44.6811028Z   DEVICE_TYPE: 
2025-10-10T00:55:44.6811202Z ##[endgroup]
2025-10-10T00:55:44.6833684Z Holding runner for 2 hours until all ssh sessions have logged out
2025-10-10T00:55:44.6914869Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:55:44.6915257Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:55:44.6915556Z # shellcheck disable=SC2046
2025-10-10T00:55:44.6915833Z docker stop $(docker ps -q) || true
2025-10-10T00:55:44.6916073Z # Prune all of the docker images
2025-10-10T00:55:44.6916308Z docker system prune -af
2025-10-10T00:55:44.6920559Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:55:44.6920811Z env:
2025-10-10T00:55:44.6920978Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:55:44.6921301Z   DOCKER_CONTAINER_ID: 6bacf9538a0cba541b240dd98aa3b0f8b1a70f60cb42152ee09d827f6e7dcb6b
2025-10-10T00:55:44.6921639Z   DEVICE_NAME: 
2025-10-10T00:55:44.6921818Z   DEVICE_TYPE: 
2025-10-10T00:55:44.6921990Z ##[endgroup]
2025-10-10T00:55:55.6852510Z 6bacf9538a0c
2025-10-10T00:55:56.0937843Z Deleted Containers:
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2025-10-10T00:56:03.4812442Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
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2025-10-10T00:56:03.4846534Z Total reclaimed space: 54.95GB
2025-10-10T00:56:03.4918872Z Post job cleanup.
2025-10-10T00:56:03.4968115Z Post job cleanup.
2025-10-10T00:56:03.5804499Z [command]/usr/bin/git version
2025-10-10T00:56:03.5844108Z git version 2.50.1
2025-10-10T00:56:03.5871885Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d4a3ee05-e5a1-4b62-a5a7-9c218039ee33/.gitconfig'
2025-10-10T00:56:03.5882092Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d4a3ee05-e5a1-4b62-a5a7-9c218039ee33' before making global git config changes
2025-10-10T00:56:03.5882987Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:56:03.5884507Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:56:03.5931445Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T00:56:03.5968776Z [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' || :"
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2025-10-10T00:56:04.0238448Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:56:04.0296323Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:56:04.0355267Z Entering 'third_party/psimd'
2025-10-10T00:56:04.0409126Z Entering 'third_party/pthreadpool'
2025-10-10T00:56:04.0472746Z Entering 'third_party/pybind11'
2025-10-10T00:56:04.0521189Z Entering 'third_party/python-peachpy'
2025-10-10T00:56:04.0575686Z Entering 'third_party/sleef'
2025-10-10T00:56:04.0631230Z Entering 'third_party/tensorpipe'
2025-10-10T00:56:04.0686867Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:56:04.0745816Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:56:04.0795320Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:56:04.0849656Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:56:04.0908388Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:56:04.0992538Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-10-10T00:56:04.1013219Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1022197Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-10-10T00:56:04.1049517Z [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' || :"
2025-10-10T00:56:04.1366105Z Entering 'android/libs/fbjni'
2025-10-10T00:56:04.1402435Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1435817Z Entering 'third_party/FP16'
2025-10-10T00:56:04.1479806Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1512611Z Entering 'third_party/FXdiv'
2025-10-10T00:56:04.1554777Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1582971Z Entering 'third_party/NNPACK'
2025-10-10T00:56:04.1618599Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1658642Z Entering 'third_party/NVTX'
2025-10-10T00:56:04.1691327Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.1832778Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1879849Z Entering 'third_party/aiter'
2025-10-10T00:56:04.1922155Z http.https://github.com/.extraheader
2025-10-10T00:56:04.1961445Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:56:04.1991125Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2044099Z Entering 'third_party/benchmark'
2025-10-10T00:56:04.2075381Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2105200Z Entering 'third_party/composable_kernel'
2025-10-10T00:56:04.2146954Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2196645Z Entering 'third_party/cpp-httplib'
2025-10-10T00:56:04.2234148Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2270520Z Entering 'third_party/cpuinfo'
2025-10-10T00:56:04.2305659Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2349799Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:56:04.2378746Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2409844Z Entering 'third_party/cutlass'
2025-10-10T00:56:04.2450948Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2493537Z Entering 'third_party/fbgemm'
2025-10-10T00:56:04.2528586Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2565781Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:56:04.2597920Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2639846Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:56:04.2673899Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2725180Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:56:04.2757091Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2790120Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:56:04.2827086Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2868213Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:56:04.2906095Z http.https://github.com/.extraheader
2025-10-10T00:56:04.2952620Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:56:04.2986586Z http.https://github.com/.extraheader
2025-10-10T00:56:04.3020978Z Entering 'third_party/fbgemm/external/json'
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2025-10-10T00:56:04.3093752Z Entering 'third_party/flash-attention'
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2025-10-10T00:56:04.3169135Z Entering 'third_party/flash-attention/csrc/composable_kernel'
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2025-10-10T00:56:04.3245750Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:56:04.3284117Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.3510521Z http.https://github.com/.extraheader
2025-10-10T00:56:04.3548855Z Entering 'third_party/gloo'
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2025-10-10T00:56:04.3683666Z Entering 'third_party/ideep'
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2025-10-10T00:56:04.3752286Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:56:04.3785732Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.3898104Z Entering 'third_party/kineto'
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2025-10-10T00:56:04.3972112Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:56:04.4007831Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4044030Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
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2025-10-10T00:56:04.4113132Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:56:04.4152804Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4187536Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:56:04.4220406Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4254528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:56:04.4289231Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4322381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:56:04.4356909Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4392194Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:56:04.4429314Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4462083Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:56:04.4495053Z http.https://github.com/.extraheader
2025-10-10T00:56:04.4527915Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
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2025-10-10T00:56:04.4599213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
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2025-10-10T00:56:04.4672028Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-10-10T00:56:04.4738222Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
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2025-10-10T00:56:04.4811285Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
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2025-10-10T00:56:04.4893898Z Entering 'third_party/kineto/libkineto/third_party/fmt'
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2025-10-10T00:56:04.5290281Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5339343Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:56:04.5375943Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5418231Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:56:04.5454311Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5491801Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:56:04.5525710Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5563746Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:56:04.5599619Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5637253Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:56:04.5672290Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5708433Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:56:04.5746002Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5782757Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:56:04.5818305Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5852437Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:56:04.5887518Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5921880Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:56:04.5961042Z http.https://github.com/.extraheader
2025-10-10T00:56:04.5993881Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:56:04.6032174Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6065842Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:56:04.6104255Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6139742Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:56:04.6178926Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6233296Z Entering 'third_party/pocketfft'
2025-10-10T00:56:04.6269119Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6309039Z Entering 'third_party/protobuf'
2025-10-10T00:56:04.6349880Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.6496176Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6531493Z Entering 'third_party/psimd'
2025-10-10T00:56:04.6569941Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6603094Z Entering 'third_party/pthreadpool'
2025-10-10T00:56:04.6649053Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6674529Z Entering 'third_party/pybind11'
2025-10-10T00:56:04.6709979Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6743716Z Entering 'third_party/python-peachpy'
2025-10-10T00:56:04.6779385Z http.https://github.com/.extraheader
2025-10-10T00:56:04.6815714Z Entering 'third_party/sleef'
2025-10-10T00:56:04.6848528Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.6919867Z http.https://github.com/.extraheader
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2025-10-10T00:56:04.6989385Z http.https://github.com/.extraheader
2025-10-10T00:56:04.7022541Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:56:04.7055625Z http.https://github.com/.extraheader
2025-10-10T00:56:04.7089453Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:56:04.7126694Z http.https://github.com/.extraheader
2025-10-10T00:56:04.7160719Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:56:04.7194387Z http.https://github.com/.extraheader
2025-10-10T00:56:04.7230119Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:56:04.7267968Z http.https://github.com/.extraheader
2025-10-10T00:56:04.7403799Z A job completed hook has been configured by the self-hosted runner administrator
2025-10-10T00:56:04.7452494Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-10-10T00:56:04.7456005Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:56:04.7456286Z ##[endgroup]
2025-10-10T00:56:04.7540335Z [!ALERT!] Swap in detected! [!ALERT!]
2025-10-10T00:56:13.8607349Z [!ALERT!] Swap out detected [!ALERT!]
2025-10-10T00:56:29.2551136Z Cleaning up orphan processes